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ORCIDGECCO 2017: Berlin, Germany - Companion Material
- Peter A. N. Bosman:
Genetic and Evolutionary Computation Conference, Berlin, Germany, July 15-19, 2017, Companion Material Proceedings. ACM 2017, ISBN 978-1-4503-4939-0
Hot off the press
- Maxim Buzdalov, Benjamin Doerr, Mikhail Kever:
The unrestricted black-box complexity of jump functions. 1-2 - Michael Fenton, David Lynch, Stepán Kucera, Holger Claussen
, Michael O'Neill:
Multilayer optimization of heterogeneous networks using grammatical genetic programming. 3-4 - Emma Hart, Kevin Sim:
On constructing ensembles for combinatorial optimisation. 5-6 - Krzysztof Michalak:
Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems. 7-8 - Maizura Mokhtar, Ian Hunt, Stephen Burns, Dave Ross:
Effective visualisation of the high-dimensional pareto-optimal solutions. 9-10 - Tanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer:
Downscaling near-surface atmospheric fields with multi-objective genetic programming. 11-12
Late-breaking abstracts
- Saad Bougrine, Mohamed Amine El Majdouli, Abdelhakim Ameur El Imrani:
A novel iterative improvement pivoting rule for local search heuristics. 13-14 - Hao Chen, Chun Du, Jun Li, Ning Jing, Lingfeng Wang:
An approach of satellite periodic continuous observation task scheduling based on evolutionary computation. 15-16 - Matthew J. Craven, Simon P. Martin:
BBIOS: a characterization of evolutionary algorithm stability. 17-18 - Matthew J. Craven, David I. Graham:
Exploring the (efficient) frontiers of portfolio optimization. 19-20 - AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell:
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. 21-22 - Jessica Finocchiaro, H. David Mathias:
Social trends in the iterated prisoner's dilemma. 23-24 - Hisashi Handa, Ryoichi Hasegawa:
Solving order/degree problems by using EDA-GK. 25-26 - Olfa Harrabi, Ezzeddine Fatnassi, Hend Bouziri, Jouhaina Chaouachi:
A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem. 27-28 - Jeffrey Horn:
Solving a large sudoku by co-evolving numerals. 29-30 - Chihoon Jung, Rituparna Datta, Aviv Segev:
Multi-document summarization using evolutionary multi-objective optimization. 31-32 - Piotr Lipinski, Patryk Filipiak, Pawel Rychlikowski, Justyna Stanczyk, Joanna Kajewska-Szkudlarek, Janusz Lomotowski, Tomasz Konieczny:
Discovering weekly seasonality for water demand prediction using evolutionary algorithms. 33-34 - Minami Miyakawa, Hiroyuki Sato, Yuji Sato:
Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems. 35-36 - Yong-Wook Nam, Yong-Hyuk Kim:
Melody composition using geometric crossover for variable-length encoding. 37-38 - Rafael Nogueras, Carlos Cotta:
Evaluating island-based EAs on unstable networks with complex failure patterns. 39-40 - Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang:
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. 41-42 - Elizabeth Alma Mancera-Galván, Beatriz A. Garro, Katya Rodríguez-Vázquez:
Optimization of solid waste collection: two ACO approaches. 43-44 - Susanne Rosenthal, Markus Borschbach:
General aspect-based selection concept for multi- and many-objective molecular optimization. 45-46 - Kazuaki Tsuboi, Satoshi Suga, Satoshi Kurihara:
Hierarchical pattern mining based on swarm intelligence. 47-48
Ant colony optimization and swarm intelligence
- Houda Abadlia, Nadia Smairi, Khaled Ghédira:
Particle swarm optimization based on island models. 49-50 - Manel Hajjem, Hend Bouziri, El-Ghazali Talbi, Khaled Mellouli:
Parallel ant colony optimization for evacuation planning. 51-52
Complex systems (artificial life/artificial immune systems/robotics/evolvable hardware/generative and developmental systems)
- Collin Cappelle, Anton Bernatskiy, Josh C. Bongard:
Ecological modularity as a means to reduce necessary training environments in evolutionary robotics. 53-54 - David D. Fan, Evangelos A. Theodorou, John Reeder:
Evolving cost functions for model predictive control of multi-agent UAV combat swarms. 55-56 - Heather J. Goldsby, Rebecca L. Young, Hans A. Hofmann, Arend Hintze:
Increasing the complexity of solutions produced by an evolutionary developmental system. 57-58 - Ryan G. Goss, Geoff S. Nitschke:
Automated pattern identification and classification: anomaly detection case study. 59-60 - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Exploring divergence in soft robot evolution. 61-62 - Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk:
Is social learning more than parameter tuning? 63-64 - Milan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben:
Benefits of lamarckian evolution for morphologically evolving robots. 65-66 - Joel Lehman:
Precomputation for rapid hypothesis generation in evolutionary robotics. 67-68 - Julian F. Miller, Dennis G. Wilson:
A developmental artificial neural network model for solving multiple problems. 69-70 - Rodrigo Moreno, Ceyue Liu, Andrés Faiña, Henry Hernández, Jonatan Gómez:
The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies. 71-72 - Ollin Peñaloza-Mejía, Eddie Clemente, Marlen Meza-Sánchez, Cynthia B. Pérez, Francisco Chávez de la O:
GP-based motion control design for the double-integrator system subject to velocity constraint. 73-74 - Alex C. Rollins, Jacob Schrum:
Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior. 75-76 - Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
Evolutionary search for paths on protein energy landscapes. 77-78 - Pedro Trueba, Abraham Prieto, Francisco Bellas:
Embodied evolution versus cooperative coevolution in multi-robot optimization: a practical comparison. 79-80 - Jônata Tyska Carvalho, Stefano Nolfi:
Exploiting environmental differentiation to promote evolvability in artificial evolution. 81-82 - Melanie Däschinger, Andreas Knote, Sebastian von Mammen:
An evolutionary approach to behavioural morphometrics. 83-84
Digital entertainment technologies and arts
- Chad Adams, Hirav Parekh, Sushil J. Louis:
Procedural level design using an interactive cellular automata genetic algorithm. 85-86 - Mario García Valdez, José C. Romero, Alejandra Mancilla, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Gamification techniques in collaborative interactive evolutionary computation. 87-88 - Asuka Hisatomi, Hitomi Koba, Makoto Kamizono, Kazunori Mizuno, Satoshi Ono:
Escher-like tiling design using hierarchical optimization. 89-90 - Mihail Morosan, Riccardo Poli:
Speeding up genetic algorithm-based game balancing using fitness predictors. 91-92 - Andreas Precht Poulsen, Mark Thorhauge, Mikkel Hvilshj Funch, Sebastian Risi:
A deep learning / neuroevolution hybrid for visual control. 93-94 - Lisa B. Soros, Justin K. Pugh, Kenneth O. Stanley:
Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity. 95-96 - Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Comparing multimodal optimization and illumination. 97-98
Evolutionary combinatorial optimization and metaheuristics
- Hajer Ben-Romdhane, Enrique Alba, Saoussen Krichen:
A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPs. 99-100 - J. R. Caldwell, Richard A. Watson:
How to get more from your model: the role of constructive selection in estimation of distribution algorithms. 101-102 - Omar Dib, Alexandre Caminada, Marie-Ange Manier, Laurent Moalic:
A memetic algorithm for computing multicriteria shortest paths in stochastic multimodal networks. 103-104 - Mehdi El Krari, Belaïd Ahiod, Bouazza El Benani:
A novel reduction algorithm for the generalized traveling salesman problem. 105-106 - Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaïd Ahiod, Markus Wagner:
Multi-objectiveness in the single-objective traveling thief problem. 107-108 - Marcin M. Komarnicki, Michal Witold Przewozniczek:
Parameter-less population pyramid with feedback. 109-110 - Mark Lawrenson, Tommaso Urli, Philip Kilby:
A model-based genetic algorithm framework for constrained optimisation problems. 111-112 - Rafaela Priscila Cruz Moreira, Elizabeth Fialho Wanner, Flávio Vinícius Cruzeiro Martins, João Fernando Machry Sarubbi:
The menu planning problem: a multiobjective approach for Brazilian schools context. 113-114 - Qi Qi, Thomas Weise, Bin Li:
Modeling optimization algorithm runtime behavior and its applications. 115-116 - Rafael de Santiago, Luís C. Lamb:
Efficient quantitative heuristics for graph clustering. 117-118 - William B. Yates, Edward C. Keedwell:
Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning. 119-120 - Yangming Zhou, Jin-Kao Hao:
A fast heuristic algorithm for the critical node problem. 121-122
Evolutionary machine learning
- Chedi Abdelkarim, Lilia Rejeb, Lamjed Ben Said, Maha Elarbi:
Evidential learning classifier system. 123-124 - Adis Alihodzic, Eva Tuba, Milan Tuba:
An upgraded bat algorithm for tuning extreme learning machines for data classification. 125-126 - Travis Desell:
Large scale evolution of convolutional neural networks using volunteer computing. 127-128 - Grant Dick:
Revisiting interval arithmetic for regression problems in genetic programming. 129-130 - Juan-Carlos Gomez, Stijn Hoskens, Marie-Francine Moens:
Evolutionary learning of meta-rules for text classification. 131-132 - Aashiq Parker, Geoff S. Nitschke:
Autonomous intersection driving with neuro-evolution. 133-134 - Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. 135-136 - Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
cCube: a cloud microservices architecture for evolutionary machine learning classification. 137-138 - Jory Schossau, Larissa Albantakis, Arend Hintze:
The role of conditional independence in the evolution of intelligent systems. 139-140 - Yanyun Tao, Yuzhen Zhang, Qinyu Wang:
Low-power FSM synthesis using a fuzzy c-mean clustering-based decomposition. 141-142 - Ales Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat:
Stability selection using a genetic algorithm and logistic linear regression on healthcare records. 143-144 - Jan Zegklitz, Petr Posík:
Linear combinations of features as leaf nodes in symbolic regression. 145-146
Evolutionary multiobjective optimization
- Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb:
Towards an epigenetics-inspired control system for power dispatch problem. 147-148 - Rotem Dror, Amir Kantor, Michael Masin, Segev Shlomov:
Set-SMAA for finding preferable multi-objective solutions. 149-150 - Yacine Kessaci:
A multi-objective continuous genetic algorithm for financial portfolio optimization problem. 151-152 - Margarita Markina, Maxim Buzdalov:
Hybridizing non-dominated sorting algorithms: divide-and-conquer meets best order sort. 153-154 - Krzysztof Michalak:
The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem. 155-156 - Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang:
Multiple reference points MOEA/D for feature selection. 157-158 - Antonin Ponsich, Eric Alfredo Rincón García, Román Anselmo Mora Gutiérrez, Sergio de-los-Cobos-Silva, Miguel Angel Gutiérrez-Ándrade, Pedro Lara-Velázquez:
Solving electoral zone design problems with NSGA-II: application to redistricting in Mexico. 159-160 - Yuji Sato, Mikiko Sato, Minami Miyakawa:
Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy. 161-162 - Hiroyuki Sato, Minami Miyakawa, Keiki Takadama:
An improved MOEA/D utilizing variation angles for multi-objective optimization. 163-164
Evolutionary numerical optimization
- Rebeka Coric, Stjepan Picek, Domagoj Jakobovic, Carlos A. Coello Coello:
On the mutual information as a fitness landscape measure. 165-166 - Jing-Yu Ji, Wei-Jie Yu, Jun Zhang:
A two-stage coevolution approach for constrained optimization. 167-168 - Benjamin Lacroix, Lee A. Christie, John A. W. McCall:
Interpolated continuous optimisation problems with tunable landscape features. 169-170 - Haiyan Liu, Yuping Wang, Liwen Liu, Xiaozhi Gao, Yiu-ming Cheung:
A new grouping strategy-based hybrid algorithm for large scale global optimization problems. 171-172 - Naoki Mori, Taku Hasegawa, Kento Tsukada, Keinosuke Matsumoto:
Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES. 173-174 - Mario A. Muñoz, Kate Smith-Miles:
Non-parametric model of the space of continuous black-box optimization problems. 175-176 - Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena:
Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy. 177-178 - Edna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick:
Adaptiveness of CMA based samplers. 179-180 - Alex Rothwell, Aldeida Aleti:
A computationally efficient gravitational search algorithm. 181-182 - Naoki Sakamoto, Youhei Akimoto:
Modified box constraint handling for the covariance matrix adaptation evolution strategy. 183-184
Genetic algorithms
- Khulood AlYahya, Kevin Anthony James Doherty, Jonathan E. Fieldsend, Ozgur E. Akman:
On the exploitation of search history and accumulative sampling in robust optimisation. 185-186 - Hayley Borck, Mark S. Boddy:
Automated case generation using a genetic algorithm. 187-188 - Sarit Chicotay, Eli (Omid) David, Nathan S. Netanyahu:
A two-phase genetic algorithm for image registration. 189-190 - Yashesh D. Dhebar, Kalyanmoy Deb:
A computationally fast multimodal optimization with push enabled genetic algorithm. 191-192 - Marcelo Fonseca Faraj, João Fernando Machry Sarubbi, Cristiano Maciel da Silva, Flávio Vinícius Cruzeiro Martins:
A hybrid genetic algorithm for deploying RSUs in VANETs based on inter-contact time. 193-194 - Alexandre Mayer:
A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitness. 195-196 - Alireza Saleh Sedghpour, Amin Nikanjam:
Overlapping community detection in social networks using a quantum-based genetic algorithm. 197-198 - Keigo Tanaka, Youhei Akimoto:
Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift. 199-200
General evolutionary computation and hybrids
- Ana L. C. Bazzan:
Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions. 201-202 - Saúl Domínguez-Isidro, Efrén Mezura-Montes:
The baldwin effect on a memetic differential evolution for constrained numerical optimization problems. 203-204 - Amaury Hernandez-Aguila, Mario García Valdez, Juan Julián Merelo Guervós, Oscar Castillo:
Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterization. 205-206 - Francia Jimenez, Claudio Sanhueza, Regina Berretta, Pablo Moscato:
A multi-objective approach for the (α, β)-k-feature set problem using memetic algorithms. 207-208 - Ning Ma, Xiao Fang Liu, Zhi-Hui Zhan, Jing-Hui Zhong, Jun Zhang:
Load balance aware distributed differential evolution for computationally expensive optimization problems. 209-210 - Pedro Mariano, Ziad Salem, Rob Mills, Payam Zahadat, Luís Correia, Thomas Schmickl:
Design choices for adapting bio-hybrid systems with evolutionary computation. 211-212 - Karl Mason, Jim Duggan, Enda Howley:
Neural network topology and weight optimization through neuro differential evolution. 213-214 - Abtin Nourmohammadzadeh, Sven Hartmann, Hui Ma:
A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting. 215-216 - Qin-zhe Xiao, Jinghui Zhong, Wen-Neng Chen, Zhi-Hui Zhan, Jun Zhang:
Indicator-based multi-objective genetic programming for workflow scheduling problem. 217-218
Genetic programming
- Harith Al-Sahaf, Bing Xue, Mengjie Zhang:
Evolving texture image descriptors using a multitree genetic programming representation. 219-220 - Van Loi Cao, Miguel Nicolau, James McDermott:
Late-acceptance and step-counting hill-climbing GP for anomaly detection. 221-222 - Qi Chen, Mengjie Zhang, Bing Xue:
New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation. 223-224 - Tiantian Dou, Peter I. Rockett:
Semantic-based local search in multiobjective genetic programming. 225-226 - Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
Dynamic GP fitness cases in static and dynamic optimisation problems. 227-228 - Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto:
Genetic programming with multi-layered population structure. 229-230 - Paul Kaufmann, Roman Kalkreuth:
An empirical study on the parametrization of cartesian genetic programming. 231-232 - Michael F. Korns:
Evolutionary linear discriminant analysis for multiclass classification problems. 233-234 - William B. Langdon:
Long-term evolution of genetic programming populations. 235-236 - Andrew Lensen, Bing Xue, Mengjie Zhang:
Improving k-means clustering with genetic programming for feature construction. 237-238 - Yuyu Liang, Mengjie Zhang, Will N. Browne:
Learning figure-ground image segmentors by genetic programming. 239-240 - James McDermott, Miguel Nicolau:
Late-acceptance hill-climbing with a grammatical program representation. 241-242 - Nicholas Freitag McPhee, Thomas Helmuth, Lee Spector:
Using algorithm configuration tools to optimize genetic programming parameters: a case study. 243-244 - Nicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector:
Visualizing genetic programming ancestries using graph databases. 245-246 - Eric Medvet, Alberto Bartoli, Giovanni Squillero:
An effective diversity promotion mechanism in grammatical evolution. 247-248 - Eric Medvet:
Hierarchical grammatical evolution. 249-250 - Stjepan Picek, Luca Mariot, Alberto Leporati, Domagoj Jakobovic:
Evolving S-boxes based on cellular automata with genetic programming. 251-252 - Gustavo H. Rosa, João Paulo Papa, Luciene P. Papa:
Feature selection using geometric semantic genetic programming. 253-254 - Eric O. Scott, Kenneth A. De Jong:
Multitask evolution with cartesian genetic programming. 255-256 - Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves:
PSXO: population-wide semantic crossover. 257-258
Real world applications
- Rafael Frederico Alexandre, Felipe Campelo, João A. Vasconcelos:
Multiobjective evolutionary algorithms for operational planning problems in open-pit mining. 259-260 - Flaviana Moreira de Souza Amorim, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Pierre Eric Frisch, Jesimar da Silva Arantes, Bernardo Almada-Lobo:
Genetic algorithms approaches for the production planning in the glass container industry. 261-262 - Gilyana Borlikova, Michael O'Neill, Louis Smith, Michael Phillips:
Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials. 263-264 - Sergio Casas, Cristina Portalés, Inmaculada Coma, Marcos Fernández:
Applying particle swarm optimization to the motion-cueing-algorithm tuning problem. 265-266 - Thomas Chabin, Marc Barnabé, Nadia Boukhelifa, Fernanda Fonseca, Alberto Paolo Tonda, Hélène Velly, Nathalie Perrot, Evelyne Lutton:
Interactive evolutionary modelling of living complex food systems: freeze-drying of lactic acid bacteria. 267-268 - Liang-Yu Chen, Ya-Liang Yang, Tzu-Chien Hsiao:
ZCSR for targeting the optimal impedance in digital radio frequency matching box. 269-270 - Jared Drayton, Eduardo R. Miranda, Alexis Kirke:
A comparison of fitness functions in a genetic algorithm for acoustic-articulatory parameter inversion of vowels. 271-272 - Anthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly:
Developing proactive defenses for computer networks with coevolutionary genetic algorithms. 273-274 - Ezzeddine Fatnassi, Olfa Harrabi, Jouhaina Chaouachi:
Toward a smart mobility system: integrating electric vehicles within smart cities. 275-276 - Hila Foxx, Shimon Ben Alul, Miri Weiss-Cohen:
Scheduling a continues galvanization line using genetic algorithm. 277-278 - Manuel Guerrero, Consolación Gil, Francisco G. Montoya, Alfredo Alcayde, Raul Baños:
Community detection in power grids by an evolutionary method. 279-280 - Ali Haidar, Brijesh K. Verma:
A hybrid genetic algorithm for climate input features and neural network parameters selection. 281-282 - Chengcheng Liu, Jin Zhang, Yang Zhou, Shunjian Tian, Xiaoli Gong, Xin Wei:
Automatically difficulty grading method of "instruction system" question bank based on knowledge tree. 283-284 - Ning Ma, Xue Yu, Wei-Neng Chen, Jun Zhang:
Fast 3D path planning based on heuristic-aided differential evolution. 285-286 - Adetokunbo Makanju, Nur Zincir-Heywood, Shinsaku Kiyomoto:
On evolutionary computation for moving target defense in software defined networks. 287-288 - Krzysztof Michalak:
Reducing systemic risk in multiplex networks using evolutionary optimization. 289-290 - Gara Miranda, Algirdas Lancinskas, Yanira González:
Single and multi-objective genetic algorithms for the container loading problem. 291-292 - Hossein Moeinzadeh, Gaetano D. Gargiulo, Paolo Bifulco, Mario Cesarelli, Alistair Lee McEwan, Aiden O'Loughlin, Ibrahim M. Shugman, Jonathan C. Tapson, Aravinda Thiagalingam:
Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data. 293-294 - Mathieu Muniglia, Sébastien Vérel, Jean-Charles Le Pallec, Jean-Michel Do:
Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspective. 295-296 - Yuka Ogino, Ryoya Iida, Tobias Rodemann:
Using desirability functions for many-objective optimization of a hybrid car controller. 297-298 - Vitor Pereira, Pedro Sousa, Miguel Rocha:
Evolutionary computation at work for the optimization of link state routing protocols. 299-300 - Dhekra Rezgui, Jouhaina Chaouachi Siala, Wassila Aggoune-Mtalaa, Hend Bouziri:
Application of a memetic algorithm to the fleet size and mix vehicle routing problem with electric modular vehicles. 301-302 - João F. M. Sarubbi, Flávio V. C. Martins, Cristiano M. Silva, Elizabeth F. Wanner:
A genetic algorithm for hybrid VANETs with synchronous communication. 303-304 - Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Short versus long-term urban planning using multi-objective optimization. 305-306 - Thomas Siwczyk, Sebastian Engell:
A fast hybrid evolutionary algorithm with inexact fitness evaluation for solving two-stage stochastic scheduling problems. 307-308 - Iman Vakilinia, Sushil J. Louis, Shamik Sengupta:
Evolving sharing strategies in cybersecurity information exchange framework. 309-310
Search-based software engineering
- Ruchika Malhotra, Megha Khanna:
Software change prediction using voting particle swarm optimization based ensemble classifier. 311-312
Theory
- Tobias Friedrich, Timo Kötzing, Anna Melnichenko:
Analyzing search heuristics with differential equations. 313-314 - Naoki Hamada:
Simple problems: the simplicial gluing structure of pareto sets and pareto fronts. 315-316 - Jun He, Yuren Zhou, Guangming Li:
An initial error analysis for evolutionary algorithms. 317-318
Introductory tutorials
- Anne Auger, Nikolaus Hansen:
Introduction to randomized continuous optimization. 319-334 - Dimo Brockhoff:
GECCO 2017 tutorial on evolutionary multiobjective optimization. 335-358 - Sylvain Cussat-Blanc, Wolfgang Banzhaf:
Introduction to gene regulatory networks. 359-372 - Kenneth A. De Jong:
Evolutionary computation: a unified approach. 373-388 - Benjamin Doerr:
Theory for non-theoreticians. 389-412 - Nikolaus Hansen:
A practical guide to benchmarking and experimentation. 413 - Per Kristian Lehre, Pietro S. Oliveto:
Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2017. 414-434 - Aldeida Aleti, Katherine M. Malan, Irene Moser:
Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial. 435-449 - Risto Miikkulainen:
Evolution of neural networks. 450-470 - Una-May O'Reilly:
Genetic programming: a tutorial introduction. 471-488 - Franz Rothlauf:
Representations for evolutionary algorithms. 489-509 - Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. 510-544 - Dirk Thierens, Peter A. N. Bosman:
Model-based evolutionary algorithms: GECCO 2017 tutorial. 545-575 - Ryan J. Urbanowicz:
Introducing rule-based machine learning: capturing complexity. 576-604 - Mark Wineberg:
Introductory statistics for EC: a visual approach. 605-640
Advanced tutorials
- Youhei Akimoto, Nikolaus Hansen:
CMA-ES and advanced adaptation mechanisms. 641-674 - Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. 675-701 - Kalyanmoy Deb:
Recent advances in evolutionary multi-criterion optimization (EMO). 702-735 - Carola Doerr:
Non-static parameter choices in evolutionary computation. 736-761 - Pascal Kerschke, Mike Preuss:
Exploratory landscape analysis: advanced tutorial at GECCO 2017. 762-781 - Krzysztof Krawiec, Malcolm I. Heywood:
Solving complex problems with coevolutionary algorithms. 782-806 - Mohammad Nabi Omidvar, Xiaodong Li:
Evolutionary large-scale global optimization: an introduction. 807-827 - Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger:
Sequential experimentation by evolutionary algorithms. 828-851 - Lee Spector, Nicholas Freitag McPhee:
Expressive genetic programming: concepts and applications. 852-871 - Kenneth O. Stanley:
Generative and developmental systems tutorial. 872-901 - Dirk Sudholt:
Theory of swarm intelligence: tutorial at GECCO 2017. 902-921 - L. Darrell Whitley:
Next generation genetic algorithms. 922-941
Specialized tutorials
- Enrique Alba:
Intelligent systems for smart cities. 942-958 - Ana L. C. Bazzan:
Multiagent systems and agent-based modeling and simulation. 959-1004 - Nicolas Bredèche, Stéphane Doncieux, Jean-Baptiste Mouret:
Evolutionary robotics tutorial. 1005-1037 - Manuel López-Ibáñez, Thomas Stützle:
Automated offline design of algorithms. 1038-1065 - Stjepan Picek:
Evolutionary computation and cryptology. 1066-1093 - Nur Zincir-Heywood, Günes Kayacik:
Evolutionary computation in network management and security: GECCO 2017 tutorial. 1094-1112
Simulation in evolutionary robotics
- Riley Konsella, Frank Chiarulli, John Peterson, John Rieffel:
A baseline-realistic objective open-ended kinematics simulator for evolutionary robotics. 1113-1116 - Sam Kriegman, Collin Cappelle, Francesco Corucci, Anton Bernatskiy, Nick Cheney, Josh C. Bongard:
Simulating the evolution of soft and rigid-body robots. 1117-1120 - Jean-Baptiste Mouret, Konstantinos I. Chatzilygeroudis:
20 years of reality gap: a few thoughts about simulators in evolutionary robotics. 1121-1124
7th workshop on evolutionary computation for the automated design of algorithms
- Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Alex Alves Freitas:
Towards a method for automatically selecting and configuring multi-label classification algorithms. 1125-1132 - Islam El-Nabarawy, Daniel R. Tauritz, Donald C. Wunsch:
Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration. 1133-1140 - Kevin Carrie Graham, Leslie Smith:
Comparing hyper-heuristics with blackboard systems. 1141-1145 - Leslie Pérez Cáceres, Bernd Bischl, Thomas Stützle:
Evaluating random forest models for irace. 1146-1153 - Lee Spector, Eva Moscovici:
Recent developments in autoconstructive evolution. 1154-1156 - Fan Xue, Geoffrey Q. P. Shen:
Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems. 1157-1162
Evolution in cognition (second edition)
- Stéphane Doncieux, Joshua Evan Auerbach, Richard J. Duro, Harold P. de Vladar:
Chairs' welcome for GECCO'17 workshop "evolution in cognition". 1163-1164 - Harold P. de Vladar:
Cognitive cultural dynamics. 1165-1171 - Richard J. Duro, José Antonio Becerra, Juan Monroy, Luis Calvo:
Context nodes in the operation of a long term memory structure for an evolutionary cognitive architecture. 1172-1176 - Seungsu Kim, Stéphane Doncieux:
Learning highly diverse robot throwing movements through quality diversity search. 1177-1178
Evolutionary computation software systems
- Arnaud Berny:
In hypercubo nigrae capsulae optimum. 1179-1186 - Jakob Bossek:
ecr 2.0: a modular framework for evolutionary computation in R. 1187-1193 - Michael Fenton, James McDermott, David Fagan, Stefan Forstenlechner, Erik Hemberg, Michael O'Neill:
PonyGE2: grammatical evolution in Python. 1194-1201 - Mario García Valdez, Juan Julián Merelo Guervós:
evospace-js: asynchronous pool-based execution of heterogeneous metaheuristics. 1202-1208 - Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller:
Towards the design and implementation of optimization networks in HeuristicLab. 1209-1214 - Christian Hanster, Pascal Kerschke:
flaccogui: exploratory landscape analysis for everyone. 1215-1222 - Sean Luke:
ECJ then and now. 1223-1230 - Robin Mueller-Bady, Martin Kappes, Lukas Atkinson, Inmaculada Medina-Bulo:
Multijob: a framework for efficient distribution of evolutionary algorithms for parameter tuning. 1231-1238 - Antonio J. Nebro, Cristóbal Barba-González, José García-Nieto, José A. Cordero, José Francisco Aldana-Montes:
Design and architecture of the jMetaISP framework. 1239-1246 - Fernando E. B. Otero:
MYRA: a Java ant colony optimization framework for classification algorithms. 1247-1254 - Edward R. Pantridge, Lee Spector:
PyshGP: PushGP in Python. 1255-1262 - Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly:
Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform. 1263-1270
Evolutionary methods for smart grid applications
- Wilfried Jakob, Jorge Ángel González Ordiano, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer:
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0. 1271-1278 - Fernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale:
Differential evolution strategies for large-scale energy resource management in smart grids. 1279-1286 - Karl Mason, Jim Duggan, Enda Howley:
Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch. 1287-1294 - Carlos E. R. Nogueira, Wallace C. Boaventura, Ricardo H. C. Takahashi, Eduardo G. Carrano:
Restoration of power distribution networks: a fast evolutionary approach based on practical perspectives. 1295-1302 - Jonas B. Weber, Ulf Lorenz:
Optimizing booster stations. 1303-1310
2nd workshop on industrial applications of metaheuristics
- Dogan Aydin, Gürcan Yavuz, Serdar Özyön, Celal Yasar, Thomas Stützle:
Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study. 1311-1318 - Erik Dovgan, Jaka Sodnik, Ivan Bratko, Bogdan Filipic:
Multiobjective discovery of human-like driving strategies. 1319-1326 - Maizura Mokhtar:
Identifying a robust waste heat recovery system for varying hot water temperature demand. 1327-1334 - Neil Urquhart:
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem. 1335-1340
20th international workshop on evolutionary rule-based machine learning
- Nugroho Fredivianus, Kurt Geihs:
Classifier systems with native fuzzy logic control operation. 1341-1348 - Anthony Stein, Roland Maier, Jörg Hähner:
Toward curious learning classifier systems: combining XCS with active learning concepts. 1349-1356
Medical applications of genetic and evolutionary computation
- Mohamed Amine El Majdouli, Saad Bougrine, Ismail Rbouh, Abdelhakim Ameur El Imrani:
A comparative study of the EEG signals big optimization problem using evolutionary, swarm and memetic computation algorithms. 1357-1364 - Michael A. Lones, Jane E. Alty, Jeremy Cosgrove, Stuart Jamieson, Stephen L. Smith:
Going through directional changes: evolving human movement classifiers using an event based encoding. 1365-1371 - Ngoc Hoang Luong, Anton Bouter, Marjolein C. van der Meer, Yury Niatsetski, Cees Witteveen, Arjan Bel, Tanja Alderliesten, Peter A. N. Bosman:
Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms. 1372-1379 - Yanyun Tao, Yuzhen Zhang, Bin Jiang:
Evolutionary learning-based modeling for warfarin dose prediction in Chinese. 1380-1386 - José Manuel Velasco, Oscar Garnica, Sergio Contador, Marta Botella, Juan Lanchares, José Ignacio Hidalgo:
Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation. 1387-1394
Student workshop
- Nina Bulanova, Maxim Buzdalov:
On binary unbiased operators returning multiple offspring. 1395-1398 - Lauro C. M. de Paula, Anderson da Silva Soares, Telma W. L. Soares, Clarimar José Coelho:
Variable selection as a non-completely decomposable problem: a case study in multivariate calibration. 1399-1402 - Reza Gholami Mahmoodabadi, Harald Köstler:
Genetic programming meets linear algebra: how genetic programming can be used to find improved iterative numerical methods. 1403-1406 - Alexander Hagg:
Hierarchical surrogate modeling for illumination algorithms. 1407-1410 - Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Optimization networks for real-world production and logistics problems. 1411-1414 - Karlo Knezevic, Stjepan Picek, Julian F. Miller:
Amplitude-oriented mixed-type CGP classification. 1415-1418 - Paul Lapok, Alistair Lawson, Ben Paechter:
Evaluation of a genetic representation for outline shapes. 1419-1422 - Vladimir Mironovich, Maxim Buzdalov:
Evaluation of heavy-tailed mutation operator on maximum flow test generation problem. 1423-1426 - André Luiz Farias Novaes, Ricardo Tanscheit, Douglas Mota Dias:
Econometric genetic programming outperforms traditional econometric algorithms for regression tasks. 1427-1430 - Evgenia Papavasileiou, Bart Jansen:
An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity. 1431-1434 - Irina Petrova, Arina Buzdalova:
Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution. 1435-1438 - Mudita Sharma, Dimitar Kazakov:
Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions. 1439-1442 - Xueming Yan, Zhifeng Hao, Han Huang, Hongyue Wu:
Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem. 1443-1446
Genetic and evolutionary computation in defense, security and risk management
- Olivia Lucca Fraser, Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs:
Return-oriented programme evolution with ROPER: a proof of concept. 1447-1454 - Dennis Garcia, Anthony Erb Lugo, Erik Hemberg, Una-May O'Reilly:
Investigating coevolutionary archive based genetic algorithms on cyber defense networks. 1455-1462 - Igor Saenko, Igor V. Kotenko:
Administrating role-based access control by genetic algorithms. 1463-1470
Landscape-aware heuristic search
- Andreas Beham, Michael Affenzeller, Stefan Wagner:
Instance-based algorithm selection on quadratic assignment problem landscapes. 1471-1478 - Joel Lehman:
Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics. 1479-1486 - Pramudita Satria Palar, Koji Shimoyama:
Exploiting active subspaces in global optimization: how complex is your problem? 1487-1494 - Sarah L. Thomson, Gabriela Ochoa, Fabio Daolio, Nadarajen Veerapen:
The effect of landscape funnels in QAPLIB instances. 1495-1500
Genetic improvement workshop
- Mahmoud A. Bokhari, Bobby R. Bruce, Bradley Alexander, Markus Wagner:
Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept. 1501-1508 - Brendan Cody-Kenny, Michael Fenton, Michael O'Neill:
From problem landscapes to language landscapes: questions in genetic improvement. 1509-1510 - Anikó Ekárt, Alina Patelli, Victoria Lush, Elisabeth Ilie Zudor:
Gaining insights into road traffic data through genetic improvement. 1511-1512 - Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Kristin Siggeirsdottir:
Fixing bugs in your sleep: how genetic improvement became an overnight success. 1513-1520 - Saemundur O. Haraldsson, John R. Woodward, Alexander E. I. Brownlee, Albert V. Smith, Vilmundur Gudnason:
Genetic improvement of runtime and its fitness landscape in a bioinformatics application. 1521-1528 - Jason Landsborough, Stephen Harding, Sunny Fugate:
Learning from super-mutants: searching post-apocalyptic software ecosystems for novel semantics-preserving transforms. 1529-1536 - William B. Langdon, Ronny Lorenz:
Improving SSE parallel code with grow and graft genetic programming. 1537-1538 - Michael Orlov:
Evolving software building blocks with FINCH. 1539-1540 - Justyna Petke:
New operators for non-functional genetic improvement. 1541-1542 - Nadarajen Veerapen, Fabio Daolio, Gabriela Ochoa:
Modelling genetic improvement landscapes with local optima networks. 1543-1548 - David R. White:
GI in no time. 1549-1550 - Shin Yoo:
Embedding genetic improvement into programming languages. 1551-1552
Measuring and promoting diversity in evolutionary algorithms
- Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner:
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. 1553-1558 - Amit Benbassat, Yuri Shafet:
A simple bucketing based approach to diversity maintenance. 1559-1564 - Joel Chacón Castillo, Carlos Segura, Arturo Hernández Aguirre, Gara Miranda, Coromoto León:
A multi-objective decomposition-based evolutionary algorithm with enhanced variable space diversity control. 1565-1571 - Thomas Gabor, Lenz Belzner:
Genealogical distance as a diversity estimate in evolutionary algorithms. 1572-1577 - Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
A comparison of illumination algorithms in unbounded spaces. 1578-1581
New standards for benchmarking in evolutionary computation research
- Mario A. Muñoz, Kate Smith-Miles:
Generating custom classification datasets by targeting the instance space. 1582-1588 - Edward R. Pantridge, Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
On the difficulty of benchmarking inductive program synthesis methods. 1589-1596 - Stjepan Picek, Domagoj Jakobovic, Una-May O'Reilly:
CryptoBench: benchmarking evolutionary algorithms with cryptographic problems. 1597-1604 - Dylan Sherry, Michael Schmidt:
Performance testing of automated modeling for industrial applications. 1605-1612
Workshop on surrogate-assisted evolutionary optimisation
- Charlotte Beauthier, Paul Beaucaire, Caroline Sainvitu:
A surrogate-based evolutionary algorithm for highly constrained design problems. 1613 - Emmanuel Kieffer, Grégoire Danoy, Pascal Bouvry, Anass Nagih:
Bayesian optimization approach of general bi-level problems. 1614-1621 - Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena:
Overview of surrogate-model versions of covariance matrix adaptation evolution strategy. 1622-1629 - Bernhard Werth, Erik Pitzer, Michael Affenzeller:
Enabling high-dimensional surrogate-assisted optimization by using sliding windows. 1630-1637
Evolutionary computation in computational biology
- Katherine H. Chiang:
Toward self-adapting computation in cells: building spiking neural network with cell signaling pathways. 1638-1643 - Kevin Anthony James Doherty, Khulood AlYahya, Ozgur E. Akman, Jonathan E. Fieldsend:
Optimisation and landscape analysis of computational biology models: a case study. 1644-1651 - Julia Handl, Mario Garza-Fabre, Shaun M. Kandathil, Simon C. Lovell:
On heuristic bias in fragment-assembly methods for protein structure prediction. 1652-1656 - William B. Langdon, Karina Zile:
Genetic improvement of computational biology software. 1657-1660 - Paulo Maia, Isabel Rocha, Miguel Rocha:
Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction. 1661-1668 - Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu:
An evolutionary algorithm to model structural excursions of a protein. 1669-1673 - Daniel Varela, José Santos Reyes:
A protein folding model using the face-centered cubic lattice model. 1674-1678
Second workshop on evolving collective behaviors in robotics
- Richard Borkowski, Heiko Hamann:
Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus. 1679-1680 - Amine M. Boumaza:
Phylogeny of embodied evolutionary robotics. 1681-1682 - Nicolas Bredèche, Jean-Marc Montanier, Simon Carrignon:
Benefits of proportionate selection in embodied evolution: a case study with behavioural specialization. 1683-1684 - Micha Kemeling, Evert Haasdijk:
Incorporating user feedback in embodied evolution. 1685-1686 - Rasmus Munk, Emma Hart, Ben Paechter:
Validation of a learning and evolving robot swarm. 1687-1688
Visualisation methods in genetic and evolutionary computation
- Xavier Blasco Ferragud, Juan Manuel Herrero Durá, Gilberto Reynoso-Meza, Miguel Andres Martínez Iranzo:
Interactive tool for analyzing multiobjective optimization results with level diagrams. 1689-1696 - Anton Bouter, Kleopatra Pirpinia, Tanja Alderliesten, Peter A. N. Bosman:
Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection. 1697-1704 - Eric Medvet, Tea Tusar:
The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity. 1705-1712 - Evgheni Polisciuc, António Cruz, Penousal Machado, Joel P. Arrais:
On the role of aesthetics in genetic algorithms applied to graph drawing. 1713-1720
Exploration of inaccessible environments through hardware/software co-evolution
- Ahmed Hallawa, Stephan Schlupkothen, Giovanni Iacca, Gerd Ascheid:
Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization. 1721-1726 - Ahmed Hallawa, Jaro De Roose, Martin Andraud, Marian Verhelst, Gerd Ascheid:
Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents. 1727-1734 - Milan Jelisavcic, Evert Haasdijk, A. E. Eiben:
Acquiring moving skills in robots with evolvable morphologies: recent results and outlook. 1735-1741
Black box optimization benchmarking 2017
- Dogan Aydin, Gürcan Yavuz:
Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed. 1742-1749 - Mario García Valdez, Juan Julián Merelo Guervós:
Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed. 1750-1755 - Duc Manh Nguyen, Nikolaus Hansen:
Benchmarking CMAES-APOP on the BBOB noiseless testbed. 1756-1763 - Zbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena:
Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy. 1764-1771 - Simon Wessing:
Benchmarking the SMS-EMOA with self-adaptation on the bbob-biobj test suite. 1772-1779 - Takahiro Yamaguchi, Youhei Akimoto:
Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed. 1780-1787
Parallel and distributed evolutionary inspired methods
- Ivanoe De Falco, Antonio Della Cioppa, Giuseppe A. Trunfio:
Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling. 1788-1795 - Ivanoe De Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, Marek S. Tudruj:
Multi-objective parallel extremal optimization in processor load balancing for distributed programs. 1796-1803 - Gian Mauricio Fritsche, Aurora T. R. Pozo:
A distributed framework for cooperation of many-objective evolutionary algorithms. 1804-1811 - Tomohiro Harada, Keiki Takadama:
A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem. 1812-1819 - Adam Harter, Daniel R. Tauritz, William M. Siever:
Asynchronous parallel cartesian genetic programming. 1820-1824 - Jakub Husa, Roland Dobai:
Designing bent boolean functions with parallelized linear genetic programming. 1825-1832 - Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas:
Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time. 1833-1840 - Rodolfo Ayala Lopes, Alan R. R. de Freitas:
Island-cellular model differential evolution for large-scale global optimization. 1841-1848 - Vojtech Mrazek, Zdenek Vasícek:
Parallel optimization of transistor level circuits using cartesian genetic programming. 1849-1856 - Ciprian Paduraru, Marius-Constantin Melemciuc, Alin Stefanescu:
A distributed implementation using apache spark of a genetic algorithm applied to test data generation. 1857-1863 - Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor:
Hyper-parameter selection in deep neural networks using parallel particle swarm optimization. 1864-1871 - Kai Staats, Edward R. Pantridge, Marco Cavaglià, Iurii Milovanov, Arun Aniyan:
TensorFlow enabled genetic programming. 1872-1879 - Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, Ernesto Tarantino:
Exploiting diversity in an asynchronous migration model for distributed differential evolution. 1880-1887 - Biao Xu, Yong Zhang, Dun-Wei Gong, Ling Wang:
A parallel multi-objective cooperative co-evolutionary algorithm with changing variables. 1888-1893
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