Abstract is missing.
- The unrestricted black-box complexity of jump functionsMaxim Buzdalov, Benjamin Doerr, Mikhail Kever. 1-2 [doi]
- Multilayer optimization of heterogeneous networks using grammatical genetic programmingMichael Fenton, David Lynch, Stepán Kucera, Holger Claussen, Michael O'Neill. 3-4 [doi]
- On constructing ensembles for combinatorial optimisationEmma Hart, Kevin Sim. 5-6 [doi]
- Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problemsKrzysztof Michalak. 7-8 [doi]
- Effective visualisation of the high-dimensional pareto-optimal solutionsMaizura Mokhtar, Ian Hunt, Stephen Burns, Dave Ross. 9-10 [doi]
- Downscaling near-surface atmospheric fields with multi-objective genetic programmingTanja Zerenner, Victor Venema, Petra Friederichs, Clemens Simmer. 11-12 [doi]
- A novel iterative improvement pivoting rule for local search heuristicsSaad Bougrine, Mohamed Amine El Majdouli, Abdelhakim Ameur El Imrani. 13-14 [doi]
- An approach of satellite periodic continuous observation task scheduling based on evolutionary computationHao Chen, Chun Du, Li Jun, Ning Jing, Lingfeng Wang. 15-16 [doi]
- BBIOS: a characterization of evolutionary algorithm stabilityMatthew J. Craven, Simon P. Martin. 17-18 [doi]
- Exploring the (efficient) frontiers of portfolio optimizationMatthew J. Craven, David I. Graham. 19-20 [doi]
- Optimizing LSTM RNNs using ACO to predict turbine engine vibrationAbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell. 21-22 [doi]
- Social trends in the iterated prisoner's dilemmaJessica Finocchiaro, H. David Mathias. 23-24 [doi]
- Solving order/degree problems by using EDA-GKH. Handa, R. Hasegawa. 25-26 [doi]
- A bi-objective memetic algorithm proposal for solving the minimum sum coloring problemOlfa Harrabi, Ezzeddine Fatnassi, Hend Bouziri, Jouhaina Chaouachi. 27-28 [doi]
- Solving a large sudoku by co-evolving numeralsJeffrey Horn. 29-30 [doi]
- Multi-document summarization using evolutionary multi-objective optimizationChihoon Jung, Rituparna Datta, Aviv Segev. 31-32 [doi]
- Discovering weekly seasonality for water demand prediction using evolutionary algorithmsPiotr Lipinski, Patryk Filipiak, Pawel Rychlikowski, Justyna Stanczyk, Joanna Kajewska-Szkudlarek, Janusz Lomotowski, Tomasz Konieczny. 33-34 [doi]
- Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problemsMinami Miyakawa, Hiroyuki Sato, Yuji Sato. 35-36 [doi]
- Melody composition using geometric crossover for variable-length encodingYong-Wook Nam, Yong-Hyuk Kim. 37-38 [doi]
- Evaluating island-based EAs on unstable networks with complex failure patternsRafael Nogueras, Carlos Cotta. 39-40 [doi]
- An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problemsZhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang. 41-42 [doi]
- Optimization of solid waste collection: two ACO approachesElizabeth Alma Mancera-Galván, Beatriz A. Garro, Katya Rodríguez-Vázquez. 43-44 [doi]
- General aspect-based selection concept for multi- and many-objective molecular optimizationSusanne Rosenthal, Markus Borschbach. 45-46 [doi]
- Hierarchical pattern mining based on swarm intelligenceKazuaki Tsuboi, Satoshi Suga, Satoshi Kurihara. 47-48 [doi]
- Particle swarm optimization based on island modelsHouda Abadlia, Nadia Smairi, Khaled Ghédira. 49-50 [doi]
- Parallel ant colony optimization for evacuation planningManel Hajjem, Hend Bouziri, El-Ghazali Talbi, Khaled Mellouli. 51-52 [doi]
- Ecological modularity as a means to reduce necessary training environments in evolutionary roboticsCollin Cappelle, Anton Bernatskiy, Josh C. Bongard. 53-54 [doi]
- Evolving cost functions for model predictive control of multi-agent UAV combat swarmsDavid D. Fan, Evangelos Theodorou, John Reeder. 55-56 [doi]
- Increasing the complexity of solutions produced by an evolutionary developmental systemHeather J. Goldsby, Rebecca L. Young, Hans A. Hofmann, Arend Hintze. 57-58 [doi]
- Automated pattern identification and classification: anomaly detection case studyRyan G. Goss, Geoff S. Nitschke. 59-60 [doi]
- Exploring divergence in soft robot evolutionDaniele Gravina, Antonios Liapis, Georgios N. Yannakakis. 61-62 [doi]
- Is social learning more than parameter tuning?Jacqueline Heinerman, Jörg Stork, Margarita Alejandra Rebolledo Coy, Julien Hubert, A. E. Eiben, Thomas Bartz-Beielstein, Evert Haasdijk. 63-64 [doi]
- Benefits of lamarckian evolution for morphologically evolving robotsMilan Jelisavcic, Rafael Kiesel, Kyrre Glette, Evert Haasdijk, A. E. Eiben. 65-66 [doi]
- Precomputation for rapid hypothesis generation in evolutionary roboticsJoel Lehman. 67-68 [doi]
- A developmental artificial neural network model for solving multiple problemsJulian F. Miller, Dennis G. Wilson. 69-70 [doi]
- The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologiesRodrigo Moreno, Ceyue Liu, Andrés Faiña, Henry Hernandez, Jonatan Gómez. 71-72 [doi]
- GP-based motion control design for the double-integrator system subject to velocity constraintOllin Peñaloza-Mejía, Eddie Clemente, Marlen Meza-Sánchez, Cynthia B. Pérez, Francisco Chávez de la O. 73-74 [doi]
- Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behaviorAlex C. Rollins, Jacob Schrum. 75-76 [doi]
- Evolutionary search for paths on protein energy landscapesEmmanuel Sapin, Kenneth A. De Jong, Amarda Shehu. 77-78 [doi]
- Embodied evolution versus cooperative coevolution in multi-robot optimization: a practical comparisonPedro Trueba, A. Prieto, Francisco Bellas. 79-80 [doi]
- Exploiting environmental differentiation to promote evolvability in artificial evolutionJônata Tyska Carvalho, Stefano Nolfi. 81-82 [doi]
- An evolutionary approach to behavioural morphometricsMelanie Däschinger, Andreas Knote, Sebastian von Mammen. 83-84 [doi]
- Procedural level design using an interactive cellular automata genetic algorithmChad Adams, Hirav Parekh, Sushil J. Louis. 85-86 [doi]
- Gamification techniques in collaborative interactive evolutionary computationMario García Valdez, José C. Romero, Alejandra Mancilla, Juan J. Merelo, Francisco Fernández de Vega. 87-88 [doi]
- Escher-like tiling design using hierarchical optimizationAsuka Hisatomi, Hitomi Koba, Makoto Kamizono, Kazunori Mizuno, Satoshi Ono. 89-90 [doi]
- Speeding up genetic algorithm-based game balancing using fitness predictorsMihail Morosan, Riccardo Poli. 91-92 [doi]
- A deep learning / neuroevolution hybrid for visual controlAndreas Precht Poulsen, Mark Thorhauge, Mikkel Hvilshj Funch, Sebastian Risi. 93-94 [doi]
- Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativityLisa B. Soros, Justin K. Pugh, Kenneth O. Stanley. 95-96 [doi]
- Comparing multimodal optimization and illuminationVassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret. 97-98 [doi]
- A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPsHajer Ben-Romdhane, Enrique Alba, Saoussen Krichen. 99-100 [doi]
- How to get more from your model: the role of constructive selection in estimation of distribution algorithmsJ. R. Caldwell, R. A. Watson. 101-102 [doi]
- A memetic algorithm for computing multicriteria shortest paths in stochastic multimodal networksOmar Dib, Alexandre Caminada, Marie-Ange Manier, Laurent Moalic. 103-104 [doi]
- A novel reduction algorithm for the generalized traveling salesman problemMehdi El Krari, Belaïd Ahiod, Bouazza El Benani. 105-106 [doi]
- Multi-objectiveness in the single-objective traveling thief problemMohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaïd Ahiod, Markus Wagner 0007. 107-108 [doi]
- Parameter-less population pyramid with feedbackMarcin M. Komarnicki, Michal Witold Przewozniczek. 109-110 [doi]
- A model-based genetic algorithm framework for constrained optimisation problemsMark Lawrenson, Tommaso Urli, Philip Kilby. 111-112 [doi]
- The menu planning problem: a multiobjective approach for Brazilian schools contextRafaela Priscila Cruz Moreira, Elizabeth Fialho Wanner, Flávio Vinícius Cruzeiro Martins, João Fernando Machry Sarubbi. 113-114 [doi]
- Modeling optimization algorithm runtime behavior and its applicationsQi Qi, Thomas Weise, Bin Li. 115-116 [doi]
- Efficient quantitative heuristics for graph clusteringRafael de Santiago, Luís C. Lamb. 117-118 [doi]
- Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learningW. B. Yates, E. C. Keedwell. 119-120 [doi]
- A fast heuristic algorithm for the critical node problemYangming Zhou, Jin-Kao Hao. 121-122 [doi]
- Evidential learning classifier systemChedi Abdelkarim, Lilia Rejeb, Lamjed Ben Said, Maha Elarbi. 123-124 [doi]
- An upgraded bat algorithm for tuning extreme learning machines for data classificationAdis Alihodzic, Eva Tuba, Milan Tuba. 125-126 [doi]
- Large scale evolution of convolutional neural networks using volunteer computingTravis Desell. 127-128 [doi]
- Revisiting interval arithmetic for regression problems in genetic programmingGrant Dick. 129-130 [doi]
- Evolutionary learning of meta-rules for text classificationJuan Carlos Gomez, Stijn Hoskens, Marie-Francine Moens. 131-132 [doi]
- Autonomous intersection driving with neuro-evolutionAashiq Parker, Geoff S. Nitschke. 133-134 [doi]
- Automated state feature learning for actor-critic reinforcement learning through NEATYiming Peng, Gang Chen 0002, Scott Holdaway, Yi Mei, Mengjie Zhang. 135-136 [doi]
- cCube: a cloud microservices architecture for evolutionary machine learning classificationPasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly. 137-138 [doi]
- The role of conditional independence in the evolution of intelligent systemsJory Schossau, Larissa Albantakis, Arend Hintze. 139-140 [doi]
- Low-power FSM synthesis using a fuzzy c-mean clustering-based decompositionYanyun Tao, Yuzhen Zhang, Qinyu Wang. 141-142 [doi]
- Stability selection using a genetic algorithm and logistic linear regression on healthcare recordsAles Zamuda, Christine Zarges, Gregor Stiglic, Goran Hrovat. 143-144 [doi]
- Linear combinations of features as leaf nodes in symbolic regressionJan Zegklitz, Petr Posík. 145-146 [doi]
- Towards an epigenetics-inspired control system for power dispatch problemDaniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb. 147-148 [doi]
- Set-SMAA for finding preferable multi-objective solutionsRotem Dror, Amir Kantor, Michael Masin, Segev Shlomov. 149-150 [doi]
- A multi-objective continuous genetic algorithm for financial portfolio optimization problemYacine Kessaci. 151-152 [doi]
- Hybridizing non-dominated sorting algorithms: divide-and-conquer meets best order sortMargarita Markina, Maxim Buzdalov. 153-154 [doi]
- The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problemKrzysztof Michalak. 155-156 [doi]
- Multiple reference points MOEA/D for feature selectionHoai Bach Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang. 157-158 [doi]
- Solving electoral zone design problems with NSGA-II: application to redistricting in MexicoAntonin Ponsich, Eric Alfredo Rincón García, Román Anselmo Mora Gutiérrez, Sergio de-los-Cobos-Silva, Miguel Angel Gutiérrez-Ándrade, Pedro Lara Velázquez. 159-160 [doi]
- Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracyYuji Sato, Mikiko Sato, Minami Miyakawa. 161-162 [doi]
- An improved MOEA/D utilizing variation angles for multi-objective optimizationHiroyuki Sato, Minami Miyakawa, Keiki Takadama. 163-164 [doi]
- On the mutual information as a fitness landscape measureRebeka Coric, Stjepan Picek, Domagoj Jakobovic, Carlos A. Coello Coello. 165-166 [doi]
- A two-stage coevolution approach for constrained optimizationJing-Yu Ji, Wei jie Yu, Jun Zhang. 167-168 [doi]
- Interpolated continuous optimisation problems with tunable landscape featuresBenjamin Lacroix, Lee A. Christie, John A. W. McCall. 169-170 [doi]
- A new grouping strategy-based hybrid algorithm for large scale global optimization problemsHaiyan Liu, Yuping Wang, Liwen Liu, Xiaozhi Gao, Yiu-ming Cheung. 171-172 [doi]
- Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ESNaoki Mori, Taku Hasegawa, Kento Tsukada, Keinosuke Matsumoto. 173-174 [doi]
- Non-parametric model of the space of continuous black-box optimization problemsMario A. Muñoz, Kate Smith-Miles. 175-176 [doi]
- Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategyZbynek Pitra, Lukás Bajer, Jakub Repický, Martin Holena. 177-178 [doi]
- Adaptiveness of CMA based samplersEdna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick. 179-180 [doi]
- A computationally efficient gravitational search algorithmAlex Rothwell, Aldeida Aleti. 181-182 [doi]
- Modified box constraint handling for the covariance matrix adaptation evolution strategyNaoki Sakamoto, Youhei Akimoto. 183-184 [doi]
- On the exploitation of search history and accumulative sampling in robust optimisationKhulood AlYahya, Kevin Anthony James Doherty, Jonathan E. Fieldsend, Ozgur E. Akman. 185-186 [doi]
- Automated case generation using a genetic algorithmHayley Borck, Mark S. Boddy. 187-188 [doi]
- A two-phase genetic algorithm for image registrationSarit Chicotay, Eli (Omid) David, Nathan S. Netanyahu. 189-190 [doi]
- A computationally fast multimodal optimization with push enabled genetic algorithmYashesh D. Dhebar, Kalyanmoy Deb. 191-192 [doi]
- A hybrid genetic algorithm for deploying RSUs in VANETs based on inter-contact timeMarcelo Fonseca Faraj, João Fernando Machry Sarubbi, Cristiano Maciel da Silva, Flávio Vinícius Cruzeiro Martins. 193-194 [doi]
- A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitnessAlexandre Mayer. 195-196 [doi]
- Overlapping community detection in social networks using a quantum-based genetic algorithmAlireza Saleh Sedghpour, Amin Nikanjam. 197-198 [doi]
- Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic driftKeigo Tanaka, Youhei Akimoto. 199-200 [doi]
- Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutionsAna L. C. Bazzan. 201-202 [doi]
- The baldwin effect on a memetic differential evolution for constrained numerical optimization problemsSaúl Domínguez-Isidro, Efrén Mezura-Montes. 203-204 [doi]
- Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterizationAmaury Hernandez-Aguila, Mario García Valdez, Juan Julián Merelo Guervós, Oscar Castillo. 205-206 [doi]
- k-feature set problem using memetic algorithmsFrancia Jimenez, Claudio Sanhueza, Regina Berretta, Pablo Moscato. 207-208 [doi]
- Load balance aware distributed differential evolution for computationally expensive optimization problemsNing Ma, Xiao-fang Liu, Zhi-hui Zhan, Jing-Hui Zhong, Jun Zhang. 209-210 [doi]
- Design choices for adapting bio-hybrid systems with evolutionary computationPedro Mariano, Ziad Salem, Rob Mills, Payam Zahadat, Luís Correia, Thomas Schmickl. 211-212 [doi]
- Neural network topology and weight optimization through neuro differential evolutionKarl Mason, Jim Duggan, Enda Howley. 213-214 [doi]
- A parallel hybrid GA-PSO approach with dynamic rule-based parameter settingAbtin Nourmohammadzadeh, Sven Hartmann, Hui Ma. 215-216 [doi]
- Indicator-based multi-objective genetic programming for workflow scheduling problemQin-zhe Xiao, Jinghui Zhong, Wen-neng Chen, Zhi-hui Zhan, Jun Zhang. 217-218 [doi]
- Evolving texture image descriptors using a multitree genetic programming representationHarith Al-Sahaf, Bing Xue, Mengjie Zhang. 219-220 [doi]
- Late-acceptance and step-counting hill-climbing GP for anomaly detectionVan Loi Cao, Miguel Nicolau, James McDermott. 221-222 [doi]
- New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutationQi Chen, Mengjie Zhang, Bing Xue. 223-224 [doi]
- Semantic-based local search in multiobjective genetic programmingTiantian Dou, Peter Rockett. 225-226 [doi]
- Dynamic GP fitness cases in static and dynamic optimisation problemsEdgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo. 227-228 [doi]
- Genetic programming with multi-layered population structureTaku Hasegawa, Naoki Mori, Keinosuke Matsumoto. 229-230 [doi]
- An empirical study on the parametrization of cartesian genetic programmingPaul Kaufmann, Roman Kalkreuth. 231-232 [doi]
- Evolutionary linear discriminant analysis for multiclass classification problemsMichael F. Korns. 233-234 [doi]
- Long-term evolution of genetic programming populationsWilliam B. Langdon. 235-236 [doi]
- k-means clustering with genetic programming for feature constructionAndrew Lensen, Bing Xue, Mengjie Zhang. 237-238 [doi]
- Learning figure-ground image segmentors by genetic programmingYuyu Liang, Mengjie Zhang, Will N. Browne. 239-240 [doi]
- Late-acceptance hill-climbing with a grammatical program representationJames McDermott, Miguel Nicolau. 241-242 [doi]
- Using algorithm configuration tools to optimize genetic programming parameters: a case studyNicholas Freitag McPhee, Thomas Helmuth, Lee Spector. 243-244 [doi]
- Visualizing genetic programming ancestries using graph databasesNicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector. 245-246 [doi]
- An effective diversity promotion mechanism in grammatical evolutionEric Medvet, Alberto Bartoli, Giovanni Squillero. 247-248 [doi]
- Hierarchical grammatical evolutionEric Medvet. 249-250 [doi]
- Evolving S-boxes based on cellular automata with genetic programmingStjepan Picek, Luca Mariot, Alberto Leporati, Domagoj Jakobovic. 251-252 [doi]
- Feature selection using geometric semantic genetic programmingGustavo H. Rosa, João Paulo Papa, Luciene P. Papa. 253-254 [doi]
- Multitask evolution with cartesian genetic programmingEric O. Scott, Kenneth A. De Jong. 255-256 [doi]
- PSXO: population-wide semantic crossoverLeonardo Vanneschi, Mauro Castelli, Luca Manzoni, Krzysztof Krawiec, Alberto Moraglio, Sara Silva, Ivo Gonçalves. 257-258 [doi]
- Multiobjective evolutionary algorithms for operational planning problems in open-pit miningRafael Frederico Alexandre, Felipe Campelo, João A. Vasconcelos. 259-260 [doi]
- Genetic algorithms approaches for the production planning in the glass container industryFlaviana Moreira S. Amorim, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Pierre Eric Frisch, Jesimar da Silva Arantes, Bernardo Almada-Lobo. 261-262 [doi]
- Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trialsGilyana Borlikova, Michael O'Neill, Louis Smith, Michael Phillips. 263-264 [doi]
- Applying particle swarm optimization to the motion-cueing-algorithm tuning problemSergio Casas, Cristina Portalés, Inmaculada Coma, Marcos Fernández. 265-266 [doi]
- Interactive evolutionary modelling of living complex food systems: freeze-drying of lactic acid bacteriaThomas Chabin, M. Barnabé, Nadia Boukhelifa, F. Fonseca, Alberto Paolo Tonda, H. Velly, Nathalie Perrot, Evelyne Lutton. 267-268 [doi]
- ZCSR for targeting the optimal impedance in digital radio frequency matching boxL. Y. Chen, Y. L. Yang, T.-C. Hsiao. 269-270 [doi]
- A comparison of fitness functions in a genetic algorithm for acoustic-articulatory parameter inversion of vowelsJared Drayton, Eduardo R. Miranda, Alexis Kirke. 271-272 [doi]
- Developing proactive defenses for computer networks with coevolutionary genetic algorithmsAnthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly. 273-274 [doi]
- Toward a smart mobility system: integrating electric vehicles within smart citiesEzzeddine Fatnassi, Olfa Harrabi, Jouhaina Chaouachi. 275-276 [doi]
- Scheduling a continues galvanization line using genetic algorithmH. Fox, S. Ben Alul, M. Weiss Cohen. 277-278 [doi]
- Community detection in power grids by an evolutionary methodManuel Guerrero, Consolación Gil, Francisco G. Montoya, Alfredo Alcayde, Raul Baños. 279-280 [doi]
- A hybrid genetic algorithm for climate input features and neural network parameters selectionAli Haidar, Brijesh Verma. 281-282 [doi]
- Automatically difficulty grading method of "instruction system" question bank based on knowledge treeChengcheng Liu, Jin Zhang, Yang Zhou, Shunjian Tian, Xiaoli Gong, Xin Wei. 283-284 [doi]
- Fast 3D path planning based on heuristic-aided differential evolutionNing Ma, Xue Yu, Wei-neng Chen, Jun Zhang. 285-286 [doi]
- On evolutionary computation for moving target defense in software defined networksAdetokunbo Makanju, A. Nur Zincir-Heywood, Shinsaku Kiyomoto. 287-288 [doi]
- Reducing systemic risk in multiplex networks using evolutionary optimizationKrzysztof Michalak. 289-290 [doi]
- Single and multi-objective genetic algorithms for the container loading problemGara Miranda, Algirdas Lancinskas, Yanira González. 291-292 [doi]
- Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient dataHossein Moeinzadeh, Gaetano D. Gargiulo, Paolo Bifulco, Mario Cesarelli, Alistair Lee McEwan, Aiden O'Loughlin, Ibrahim M. Shugman, Jonathan C. Tapson, Aravinda Thiagalingam. 293-294 [doi]
- Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspectiveMathieu Muniglia, Sébastien Vérel, Jean-Charles Le Pallec, Jean-Michel Do. 295-296 [doi]
- Using desirability functions for many-objective optimization of a hybrid car controllerYuka Ogino, Ryoya Iida, Tobias Rodemann. 297-298 [doi]
- Evolutionary computation at work for the optimization of link state routing protocolsVitor Pereira, Pedro Sousa, Miguel Rocha. 299-300 [doi]
- Application of a memetic algorithm to the fleet size and mix vehicle routing problem with electric modular vehiclesDhekra Rezgui, Jouhaina Chaouachi Siala, Wassila Aggoune-Mtalaa, Hend Bouziri. 301-302 [doi]
- A genetic algorithm for hybrid VANETs with synchronous communicationJoao F. M. Sarubbi, Flávio V. C. Martins, Cristiano M. Silva, Elizabeth F. Wanner. 303-304 [doi]
- Short versus long-term urban planning using multi-objective optimizationJonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey. 305-306 [doi]
- A fast hybrid evolutionary algorithm with inexact fitness evaluation for solving two-stage stochastic scheduling problemsThomas Siwczyk, Sebastian Engell. 307-308 [doi]
- Evolving sharing strategies in cybersecurity information exchange frameworkIman Vakilinia, Sushil J. Louis, Shamik Sengupta. 309-310 [doi]
- Software change prediction using voting particle swarm optimization based ensemble classifierRuchika Malhotra, Megha Khanna. 311-312 [doi]
- Analyzing search heuristics with differential equationsTobias Friedrich 0001, Timo Kötzing, Anna Melnichenko. 313-314 [doi]
- Simple problems: the simplicial gluing structure of pareto sets and pareto frontsNaoki Hamada. 315-316 [doi]
- An initial error analysis for evolutionary algorithmsJun He, Yuren Zhou, Guangming Li. 317-318 [doi]
- Introduction to randomized continuous optimizationAnne Auger, Nikolaus Hansen. 319-334 [doi]
- GECCO 2017 tutorial on evolutionary multiobjective optimizationDimo Brockhoff. 335-358 [doi]
- Introduction to gene regulatory networksSylvain Cussat-Blanc, Wolfgang Banzhaf. 359-372 [doi]
- Evolutionary computation: a unified approachKenneth De Jong. 373-388 [doi]
- Theory for non-theoreticiansBenjamin Doerr. 389-412 [doi]
- A practical guide to benchmarking and experimentationNikolaus Hansen. 413 [doi]
- Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2017Per Kristian Lehre, Pietro Simone Oliveto. 414-434 [doi]
- Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorialAldeida Aleti, Katherine Malan, Irene Moser. 435-449 [doi]
- Evolution of neural networksRisto Miikkulainen. 450-470 [doi]
- Genetic programming: a tutorial introductionUna-May OReilly. 471-488 [doi]
- Representations for evolutionary algorithmsFranz Rothlauf. 489-509 [doi]
- Hyper-heuristics tutorialDaniel R. Tauritz, John R. Woodward. 510-544 [doi]
- Model-based evolutionary algorithms: GECCO 2017 tutorialDirk Thierens, Peter A. N. Bosman. 545-575 [doi]
- Introducing rule-based machine learning: capturing complexityRyan J. Urbanowicz. 576-604 [doi]
- Introductory statistics for EC: a visual approachMark Wineberg. 605-640 [doi]
- CMA-ES and advanced adaptation mechanismsYouhei Akimoto, Nikolaus Hansen. 641-674 [doi]
- Constraint-handling techniques used with evolutionary algorithmsCarlos A. Coello Coello. 675-701 [doi]
- Recent advances in evolutionary multi-criterion optimization (EMO)Kalyanmoy Deb. 702-735 [doi]
- Non-static parameter choices in evolutionary computationCarola Doerr. 736-761 [doi]
- Exploratory landscape analysis: advanced tutorial at GECCO 2017Pascal Kerschke, Mike Preuss. 762-781 [doi]
- Solving complex problems with coevolutionary algorithmsKrzysztof Krawiec, Malcolm I. Heywood. 782-806 [doi]
- Evolutionary large-scale global optimization: an introductionMohammad Nabi Omidvar, Xiaodong Li. 807-827 [doi]
- Sequential experimentation by evolutionary algorithmsOfer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger. 828-851 [doi]
- Expressive genetic programming: concepts and applicationsLee Spector, Nicholas Freitag McPhee. 852-871 [doi]
- Generative and developmental systems tutorialKenneth O. Stanley. 872-901 [doi]
- Theory of swarm intelligence: tutorial at GECCO 2017Dirk Sudholt. 902-921 [doi]
- Next generation genetic algorithmsDarrell Whitley. 922-941 [doi]
- Intelligent systems for smart citiesEnrique Alba. 942-958 [doi]
- Multiagent systems and agent-based modeling and simulationAna L. C. Bazzan. 959-1004 [doi]
- Evolutionary robotics tutorialNicolas Bredeche, Stéphane Doncieux, Jean-Baptiste Mouret. 1005-1037 [doi]
- Automated offline design of algorithmsManuel López-Ibáñez, Thomas Stützle. 1038-1065 [doi]
- Evolutionary computation and cryptologyStjepan Picek. 1066-1093 [doi]
- Evolutionary computation in network management and security: GECCO 2017 tutorialA. Nur Zincir-Heywood, Günes Kayacik. 1094-1112 [doi]
- A baseline-realistic objective open-ended kinematics simulator for evolutionary roboticsRiley Konsella, Frank Chiarulli, John Peterson, John Rieffel. 1113-1116 [doi]
- Simulating the evolution of soft and rigid-body robotsSam Kriegman, Collin Cappelle, Francesco Corucci, Anton Bernatskiy, Nick Cheney, Josh C. Bongard. 1117-1120 [doi]
- 20 years of reality gap: a few thoughts about simulators in evolutionary roboticsJean-Baptiste Mouret, Konstantinos I. Chatzilygeroudis. 1121-1124 [doi]
- Towards a method for automatically selecting and configuring multi-label classification algorithmsAlex Guimarães Cardoso de Sá, Gisele L. Pappa, Alex Alves Freitas. 1125-1132 [doi]
- Evolutionary computation for the automated design of category functions for fuzzy ART: an initial explorationIslam El-Nabarawy, Daniel R. Tauritz, Donald C. Wunsch. 1133-1140 [doi]
- Comparing hyper-heuristics with blackboard systemsKevin Graham, Leslie Smith. 1141-1145 [doi]
- Evaluating random forest models for iraceLeslie Pérez Cáceres, Bernd Bischl, Thomas Stützle. 1146-1153 [doi]
- Recent developments in autoconstructive evolutionLee Spector, Eva Moscovici. 1154-1156 [doi]
- Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problemsFan Xue, Geoffrey Q. Shen. 1157-1162 [doi]
- Chairs' welcome for GECCO'17 workshop "evolution in cognition"Stéphane Doncieux, Joshua Evan Auerbach, Richard J. Duro, Harold P. de Vladar. 1163-1164 [doi]
- Cognitive cultural dynamicsHarold P. de Vladar. 1165-1171 [doi]
- Context nodes in the operation of a long term memory structure for an evolutionary cognitive architectureRichard J. Duro, José Antonio Becerra, Juan Monroy, Luis Calvo. 1172-1176 [doi]
- Learning highly diverse robot throwing movements through quality diversity searchSeungsu Kim, Stéphane Doncieux. 1177-1178 [doi]
- In hypercubo nigrae capsulae optimumArnaud Berny. 1179-1186 [doi]
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- Towards the design and implementation of optimization networks in HeuristicLabJohannes Karder, Stefan Wagner 0002, Andreas Beham, Michael Kommenda, Michael Affenzeller. 1209-1214 [doi]
- flaccogui: exploratory landscape analysis for everyoneChristian Hanster, Pascal Kerschke. 1215-1222 [doi]
- ECJ then and nowSean Luke. 1223-1230 [doi]
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- Design and architecture of the jMetaISP frameworkAntonio J. Nebro, Cristóbal Barba-González, José García-Nieto, José A. Cordero, José Francisco Aldana Montes. 1239-1246 [doi]
- MYRA: a Java ant colony optimization framework for classification algorithmsFernando E. B. Otero. 1247-1254 [doi]
- PyshGP: PushGP in PythonEdward R. Pantridge, Lee Spector. 1255-1262 [doi]
- Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platformPasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly. 1263-1270 [doi]
- Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0Wilfried Jakob, Jorge Ángel González Ordiano, N. Ludwig, Ralf Mikut, Veit Hagenmeyer. 1271-1278 [doi]
- Differential evolution strategies for large-scale energy resource management in smart gridsFernando Lezama, Luis Enrique Sucar, Enrique Munoz de Cote, João P. Soares, Zita A. Vale. 1279-1286 [doi]
- Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatchKarl Mason, Jim Duggan, Enda Howley. 1287-1294 [doi]
- Restoration of power distribution networks: a fast evolutionary approach based on practical perspectivesCarlos E. R. Nogueira, Wallace C. Boaventura, Ricardo H. C. Takahashi, Eduardo G. Carrano. 1295-1302 [doi]
- Optimizing booster stationsJonas B. Weber, Ulf Lorenz. 1303-1310 [doi]
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