Abstract is missing.
- Deep learning and cultural evolutionYoshua Bengio. 1-2 [doi]
- Bridging natural and artificial evolutionDario Floreano. 3-4 [doi]
- Applications of program synthesis to end-user programming and intelligent tutoring systemsSumit Gulwani. 5-6 [doi]
- A PSO approach for software project planningYa-Hui Jia, Wei-neng Chen, Xiao-Min Hu. 7-8 [doi]
- Introducing particle swarm optimization into a genetic algorithm to evolve robot controllersMalte Langosz, Kai Alexander von Szadkowski, Frank Kirchner. 9-10 [doi]
- Fitness proportionate selection based binary particle swarm optimizationXing Liu, Lin Shang. 11-12 [doi]
- Under-informed momentum in PSOChristopher K. Monson, Kevin D. Seppi. 13-14 [doi]
- Multi-swarm particle swarm optimization with multiple learning strategiesMeng-Qi Peng, Yue-jiao Gong, Jing-jing Li, Ying-biao Lin. 15-16 [doi]
- An ant colony optimization for solving a hybrid flexible flowshopAymen Sioud, Caroline Gagné, Marc Gravel. 17-18 [doi]
- An improved artificial bee colony algorithm for clusteringQiuhang Tan, Hejun Wu, Biao Hu, Xingcheng Liu. 19-20 [doi]
- Artificial immune systems in the context of autonomic computing: integrating design paradigmsNicola Capodieci, Emma Hart, Giacomo Cabri. 21-22 [doi]
- Adapting to dynamically changing noise during learning of heart sounds: an AIS-based approach using systemic computationYiqi Deng, Peter J. Bentley. 23-24 [doi]
- Lifetimes of migrationFaith Agwang, Willem S. van Heerden, Geoff Nitschke. 25-26 [doi]
- Incremental evolution of HERCL programs for robust controlAlan Blair. 27-28 [doi]
- High-level behavior regulation for multi-robot systemsMartin Delecluse, Stéphane Sanchez, Sylvain Cussat-Blanc, Nicolas Schneider, Jean-Baptiste Welcomme. 29-30 [doi]
- Evolving prediction machines: collective behaviors based on minimal surprisalHeiko Hamann. 31-32 [doi]
- Minimal variable quantum decision makers for robotic controlWalter O. Krawec. 33-34 [doi]
- General intelligence through prolonged evolution of densely connected neural networksPadmini Rajagopalan, Aditya Rawal, Kay E. Holekamp, Risto Miikkulainen. 35-36 [doi]
- Prediction of detectable peptides in MS data using genetic programmingSoha Ahmed, Mengjie Zhang, Lifeng Peng. 37-38 [doi]
- A semantic expert system for the evolutionary design of synthetic gene networksVitoantonio Bevilacqua, Paolo Pannarale. 39-40 [doi]
- Evolving small GRNs with a top-down approachJavier Garcia-Bernardo, Margaret J. Eppstein. 41-42 [doi]
- iSYN: de novo drug design with click chemistry supportHongjian Li, Kwong-Sak Leung, Chun Ho Chan, Hei Lun Cheung, Man Hon Wong. 43-44 [doi]
- A multi-population genetic algorithm for procedural generation of levels for platform gamesLucas Ferreira, Leonardo Pereira, Claudio Fabiano Motta Toledo. 45-46 [doi]
- Evolutionary approaches to evolve AI scripts for a RTS gameLucas Ferreira, Leonardo Pereira, Claudio Fabiano Motta Toledo, Rodrigo de Freitas Pereira. 47-48 [doi]
- A methodology for designing emergent literary backstories on non-player characters using genetic algorithmsRubén Héctor García-Ortega, Pablo García-Sánchez, Antonio Miguel Mora, Juan Julián Merelo Guervós. 49-50 [doi]
- Control of non player characters in a medical learning game with Monte Carlo tree searchMaxime Sanselone, Stéphane Sanchez, Cédric Sanza, David Panzoli, Yves Duthen. 51-52 [doi]
- Estimation of distribution algorithms based on n-gramstatistics for sequencing and optimizationChung-Yao Chuang, Stephen F. Smith. 53-54 [doi]
- Complexity of model learning in EDAs: multi-structure problemsHadi Sharifi, Amin Nikanjam, Hossein Karshenas, Negar Najimi. 55-56 [doi]
- A two-level hierarchical EDA using conjugate prioriBo Wang, Hua Xu, Yuan Yuan. 57-58 [doi]
- An algorithm for evolving multiple quantum operators for arbitrary quantum computational problemsWalter O. Krawec. 59-60 [doi]
- A mathematically derived number of resamplings for noisy optimizationJialin Liu, David Lupien St-Pierre, Olivier Teytaud. 61-62 [doi]
- SEA: an evolutionary algorithm based on spherical inversionsJuan Pablo Serrano Rubio, Arturo Hernández Aguirre, Rafael Herrera Guzmán. 63-64 [doi]
- Use EMO to protect sensitive knowledge in association rule mining by adding itemsPeng Cheng, Jeng-Shyang Pan. 65-66 [doi]
- Inferring automata-based programs from specification with mutation-based ant colony optimizationDaniil Chivilikhin, Vladimir Ulyantsev. 67-68 [doi]
- Combinatorial optimization with differential evolution: a set-based approachAndré L. Maravilha, Jaime A. Ramírez, Felipe Campelo. 69-70 [doi]
- Hyper-heuristics, grammatical evolution and the capacitated vehicle routing problemRichard J. Marshall, Mark Johnston, Mengjie Zhang. 71-72 [doi]
- On the effectiveness of genetic algorithms for the multidimensional knapsack problemJean Paulo Martins, Humberto Longo, Alexandre C. B. Delbem. 73-74 [doi]
- Uncovering communities in multidimensional networks with multiobjective genetic algorithmsAlessia Amelio, Clara Pizzuti. 75-76 [doi]
- A variable kernel function for hybrid unsupervised kernel regressionDaniel Lückehe, Oliver Kramer. 77-78 [doi]
- Time-series forecasting with evolvable partially connected artificial neural networkMina Moradi Kordmahalleh, Mohammad Gorji Sefidmazgi, Abdollah Homaifar, K. C. Dukka Bahadur, Anthony Guiseppi-Elie. 79-80 [doi]
- Novelty-organizing classifiers applied to classification and reinforcement learning: towards flexible algorithmsDanilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata. 81-82 [doi]
- Differential evolution (DE) for multi-objective feature selection in classificationBing Xue, Wenlong Fu, Mengjie Zhang. 83-84 [doi]
- An indicator-based chemical reaction optimization algorithm for multi-objective searchAbir Chaabani, Slim Bechikh, Lamjed Ben Said. 85-86 [doi]
- Non-dominated sorting differential evolution with improved directional convergence and spread for multiobjective optimizationWentao Guo, Xinjie Yu. 87-88 [doi]
- Meta-level multi-objective formulations of set optimization for multi-objective optimization problems: multi-reference point approach to hypervolume maximizationHisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima. 89-90 [doi]
- Evolutionary many-objective optimization using preference on hyperplaneKaname Narukawa, Yuki Tanigaki, Hisao Ishibuchi. 91-92 [doi]
- MOEA/D with a delaunay triangulation based weight adjustmentYutao Qi, Xiaoliang Ma, Minglei Yin, Fang Liu, Jingxuan Wei. 93-94 [doi]
- On the interrelationships between knees and aggregate objective functionsPradyumn Kumar Shukla, Marlon Alexander Braun, Hartmut Schmeck. 95-96 [doi]
- Hybridization of NSGA-II with greedy re-assignment for variation tolerant logic mapping on nano-scale crossbar architecturesFugui Zhong, Bo Yuan, Bin Li. 97-98 [doi]
- Nu-life: spontaneous dynamic hierarchical organization in a non-uniform "life-like" cellular automataBen Cole, Michael Muthukrishna. 99-100 [doi]
- Toward organogenesis of artificial creaturesJean Disset, Sylvain Cussat-Blanc, Yves Duthen. 101-102 [doi]
- Deep learning through generative and developmental systemPhillip Verbancsics, Joshua Harguess. 103-104 [doi]
- Getting you faster to work: a genetic algorithm approach to the traffic assignment problemDaniel Cagara, Ana L. C. Bazzan, Björn Scheuermann. 105-106 [doi]
- Novel virtual fitness evaluation framework for fitness landscape learning evolutionary computationTaku Hasegawa, Kaname Matsumura, Kaiki Tsuchie, Naoki Mori, Keinosuke Matsumoto. 107-108 [doi]
- The creation and facilitation of speech and language therapy sessions for individuals with aphasiaConor Higgins, Conor Ryan, Áine Kearns, Mikael Fernström. 109-110 [doi]
- A novel genetic algorithm based on partitioning for large-scale network design problemsXiao-ma Huang, Yue-jiao Gong, Jing-jing Li, Xiaomin Hu. 111-112 [doi]
- A novel genetic algorithm based on the life cycle of dictyosteliumKazuyuki Inoue, Naoki Mori, Keinosuke Matsumoto. 113-114 [doi]
- Ancestral networks in evolutionary algorithmsKarthik Kuber, Stuart W. Card, Kishan G. Mehrotra, Chilukuri K. Mohan. 115-116 [doi]
- Search for the most reliable network of fixed connectivity using genetic algorithmHo Tat Lam, Kwok Yip Szeto. 117-118 [doi]
- Assessing different architectures for evolutionary algorithms in javascriptJuan Julián Merelo Guervós, Pedro A. Castillo, Antonio Miguel Mora, Anna Isabel Esparcia-Alcázar, Víctor Manuel Rivas Santos. 119-120 [doi]
- On dedicated evolutionary algorithms for large non-linear constrained optimization problemsJanusz Orkisz, Maciej Glowacki. 121-122 [doi]
- A dimensional-level adaptive differential evolutionary algorithm for continuous optimizationMing Yang, Jing Guan, Zhihua Cai, Changhe Li. 123-124 [doi]
- Evolutionary computation for lifetime maximization of wireless sensor networks in complex 3D environmentsXin-yuan Zhang, Yue-jiao Gong, Jing-jing Li, Ying Lin. 125-126 [doi]
- Efficient interleaved sampling of training data in genetic programmingR. Muhammad Atif Azad, David Medernach, Conor Ryan. 127-128 [doi]
- Evolved nonlinear predictor functions for lossless image compressionKevin M. Barresi. 129-130 [doi]
- Predict the success or failure of an evolutionary algorithm runGopinath Chennupati, Conor Ryan, R. Muhammad Atif Azad. 131-132 [doi]
- CityBreeder: city design with evolutionary computationAdam T. S. Cohen, Tony White. 133-134 [doi]
- Comparison of linear genetic programming variants for symbolic regressionLéo Françoso Dal Piccol Sotto, Vinicius Veloso de Melo. 135-136 [doi]
- Universal information distance for genetic programmingMarco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda. 137-138 [doi]
- On improving grammatical evolution performance in symbolic regression with attribute grammarMuhammad Rezaul Karim 0002, Conor Ryan. 139-140 [doi]
- Evolving differential equations with developmental linear genetic programming and epigenetic hill climbingWilliam La Cava, Lee Spector, Kourosh Danai, Matthew Lackner. 141-142 [doi]
- A comparison between geometric semantic GP and cartesian GP for boolean functions learningAndrea Mambrini, Luca Manzoni. 143-144 [doi]
- Incorporating expert knowledge in object-oriented genetic programmingMichael Richard Medland, Kyle Robert Harrison, Beatrice M. Ombuki-Berman. 145-146 [doi]
- Effective simplification of evolved push programs using a simple, stochastic hill-climberLee Spector, Thomas Helmuth. 147-148 [doi]
- Towards a quantum-inspired multi-gene linear genetic programming modelGuilherme Cesário Strachan, Adriano Soares Koshiyama, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco. 149-150 [doi]
- GPGPU-assisted denoising filter generation for video codingSeishi Takamura, Atsushi Shimizu. 151-152 [doi]
- A projection-based decomposition in EHW method for design of relatively large circuitsYanyun Tao, Yuzhen Zhang, Lijun Zhang, Chao Gu. 153-154 [doi]
- An artificial ecosystem algorithm applied to the travelling salesman problemManal T. Adham, Peter J. Bentley. 155-156 [doi]
- Risk aversion and mobility in the public goods gameMichael Kirley, Friedrich Burkhard von der Osten. 157-158 [doi]
- The structure of an 8-state finite transducer representation for prisoner's dilemmaJeffrey Tsang. 159-160 [doi]
- Enhancing the differential evolution with convergence speed controller for continuous optimization problemsShujin Ye, Han Huang, Changjian Xu. 161-162 [doi]
- GPU-based massively parallel quantum inspired genetic algorithm for detection of communities in complex networksShikha Gupta, Naveen Kumar. 163-164 [doi]
- Darwin: a ground truth agnostic CAPTCHA generator using evolutionary algorithmEric Y. Chen, Lin-Shung Huang, Ole J. Mengshoel, Jason D. Lohn. 165-166 [doi]
- Completely hide sensitive association rules using EMO by deleting transactionsPeng Cheng, Jeng-Shyang Pan. 167-168 [doi]
- Distributed multi-robot search in the real-world using modified particle swarm optimizationAmirali Darvishzadeh, Bir Bhanu. 169-170 [doi]
- Using evolutionary techniques to analyze the security of quantum key distribution protocolsWalter O. Krawec. 171-172 [doi]
- Detection and estimation of unmodeled narrowband nonstationary signals: application of particle swarm optimization in gravitational wave data analysisSoumya D. Mohanty. 173-174 [doi]
- Semi-fragile watermark design for detecting illegal two-dimensional barcodes by evolutionary multi-objective optimizationSatoshi Ono, Takeru Maehara, Kentaro Nakai, Ryo Ikeda, Koutaro Taniguchi. 175-176 [doi]
- Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate changeShana Schlottfeldt, Jon Timmis, Maria Emilia M. T. Walter, André C. P. L. F. Carvalho, José Alexandre Felizola Diniz-Filho, Lorena M. Simon, Rafael D. Loyola, Mariana P. C. Telles. 177-178 [doi]
- Evolution of digital modulation schemes for radio systemsErvin Teng, Derek Kozel, Bob Iannucci, Jason D. Lohn. 179-180 [doi]
- Windmill farm pattern optimization using evolutionary algorithmsCharlie Vanaret, Nicolas Durand, Jean-Marc Alliot. 181-182 [doi]
- Normalization group brain storm optimization for power electronic circuit optimizationGuang-Wei Zhang, Zhi-hui Zhan, Ke-Jing Du, Wei-neng Chen. 183-184 [doi]
- An adaptive memetic agorithm based on multiobjecitve optimization for software next release problemXin Cheng, Yuanyuan Huang, Xinye Cai, Ou Wei. 185-186 [doi]
- Software refactoring under uncertainty: a robust multi-objective approachMohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb. 187-188 [doi]
- Learning from evolved next release problem instancesZhilei Ren, He Jiang, Jifeng Xuan, Shuwei Zhang, Zhongxuan Luo. 189-190 [doi]
- Fate agent evolutionary algorithms with self-adaptive mutationArthur Ervin Avramiea, Giorgos Karafotias, A. E. Eiben. 191-192 [doi]
- Reinforcement learning for adaptive operator selection in memetic search applied to quadratic assignment problemStephanus Daniel Handoko, Duc Thien Nguyen, Zhi Yuan, Hoong Chuin Lau. 193-194 [doi]
- Multi-sample evolution of robust black-box search algorithmsMatthew A. Martin, Daniel R. Tauritz. 195-196 [doi]
- Building algorithm portfolios for memetic algorithmsMustafa Misir, Stephanus Daniel Handoko, Hoong Chuin Lau. 197-198 [doi]
- On the locality of neural meta-representationsLuís F. Simões, A. E. Eiben. 199-200 [doi]
- Onemax helps optimizing XdivK: : theoretical runtime analysis for RLS and EA+RLMaxim Buzdalov, Arina Buzdalova. 201-202 [doi]
- NM landscapes: beyond NKNarine Manukyan, Margaret J. Eppstein, Jeffrey S. Buzas. 203-204 [doi]
- Introduction to genetic algorithmsErik D. Goodman. 205-226 [doi]
- Genetic programming: a tutorial introductionUna-May O'Reilly. 227-250 [doi]
- Introduction to evolution strategiesThomas Bäck. 251-280 [doi]
- Evolutionary computation: a unified approachKenneth De Jong. 281-296 [doi]
- GECCO 2014 tutorial on evolutionary multiobjective optimizationDimo Brockhoff. 297-322 [doi]
- Representations for evolutionary algorithmsFranz Rothlauf. 323-344 [doi]
- Statistical analysis for evolutionary computation: an introductionMark Wineberg. 345-380 [doi]
- Particle swarm optimizationAndries P. Engelbrecht. 381-406 [doi]
- Learning classifier systems: a gentle introductionPier Luca Lanzi. 407-430 [doi]
- Model-based evolutionary algorithmsDirk Thierens, Peter A. N. Bosman. 431-458 [doi]
- Runtime analysis of evolutionary algorithms: basic introductionPer Kristian Lehre, Pietro Simone Oliveto. 459-486 [doi]
- Evolving neural networksRisto Miikkulainen. 487-512 [doi]
- Evolution strategies and CMA-ES (covariance matrix adaptation)Nikolaus Hansen, Anne Auger. 513-534 [doi]
- Constraint-handling techniques used with evolutionary algorithmsCarlos Artemio Coello Coello. 535-558 [doi]
- Blind no more: constant time non-random improving moves and exponentially powerful recombinationDarrell Whitley. 559-580 [doi]
- Expressive genetic programmingLee Spector. 581-606 [doi]
- Parameterized complexity analysis of evolutionary algorithmsFrank Neumann, Andrew M. Sutton. 607-622 [doi]
- Black-box complexity: from complexity theory to playing mastermindBenjamin Doerr, Carola Doerr. 623-646 [doi]
- Bioinspired computation in combinatorial optimization: algorithms and their computational complexityCarsten Witt. 647-686 [doi]
- Theory of swarm intelligenceDirk Sudholt. 687-708 [doi]
- Information geometry in evolutionary computationLuigi Malagò, Tobias Glasmachers. 709-726 [doi]
- Cellular genetic algorithmsEnrique Alba. 733-748 [doi]
- Artificial immune systems for optimisationThomas Jansen, Christine Zarges. 749-764 [doi]
- Generative and developmental systems tutorialKenneth O. Stanley. 765-794 [doi]
- Evolutionary image analysis and signal processingStefano Cagnoni. 795-818 [doi]
- Decomposition and cooperative coevolution techniques for large scale global optimizationXiaodong Li. 819-838 [doi]
- Evolutionary search algorithms for protein modeling: from de novo structure prediction to comprehensive maps of functionally-relevant structures of protein chains and assembliesAmarda Shehu, Kenneth A. De Jong. 839-856 [doi]
- Evolutionary bilevel optimization (EBO)Kalyanmoy Deb, Ankur Sinha. 857-876 [doi]
- Introduction to evolutionary game theoryMarco Tomassini. 877-890 [doi]
- Medical applications of evolutionary computationStephen L. Smith. 891-920 [doi]
- Automatic (offline) configuration of algorithmsManuel López-Ibáñez, Thomas Stützle. 921-946 [doi]
- Self-assemblyNavneet Bhalla, Peter J. Bentley, Marco Dorigo. 947-966 [doi]
- Reusing learned functionality in XCS: code fragments with constructed functionality and constructed featuresIsidro M. Alvarez, Will N. Browne, Mengjie Zhang. 969-976 [doi]
- Rule networks in learning classifier systemsKarthik Kuber, Stuart W. Card, Kishan G. Mehrotra, Chilukuri K. Mohan. 977-982 [doi]
- Dynamic learning of heart sounds with changing noise: an ais-based multi-agent model using systemic computationYiqi Deng, Peter J. Bentley. 985-992 [doi]
- A genetic based scheduling approach of real-time reconfigurable embedded systemsHamza Gharsellaoui, Hamadi Hasni, Samir Ben Ahmed. 993-998 [doi]
- The effect of communication on the evolution of cooperative behavior in a multi-agent systemSherri Goings, Emily P. M. Johnston, Naozumi Hiranuma. 999-1006 [doi]
- Modeling the information propagation in an email communication network using an agent-based approachBin Jiang, Lei Wang, Chao Yang, Shuming Peng, Renfa Li. 1007-1014 [doi]
- A study on the configuration of migratory flows in island model differential evolutionRodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Alan R. R. de Freitas, Felipe Campelo, Frederico G. Guimarães. 1015-1022 [doi]
- Effects of personality decay on collective movementsJeremy Acre, Nicholas Zoller, Brent E. Eskridge. 1025-1028 [doi]
- An efficient fitness-based stagnation detection method for particle swarm optimizationHazem Radwan Ahmed. 1029-1032 [doi]
- Selecting evolutionary operators using reinforcement learning: initial explorationsArina Buzdalova, Vladislav Kononov, Maxim Buzdalov. 1033-1036 [doi]
- Improving the quality of supervised finite-state machine construction using real-valued variablesIgor Buzhinsky, Daniil Chivilikhin, Vladimir Ulyantsev, Fedor Tsarev. 1037-1040 [doi]
- Multi-core GE: automatic evolution of CPU based multi-core parallel programsGopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan. 1041-1044 [doi]
- Parameter tuning in quantum-inspired evolutionary algorithms for partitioning complex networksShikha Gupta, Naveen Kumar. 1045-1048 [doi]
- Developing morphological computation in tensegrity robots for controllable actuationMark Khazanov, Julian Jocque, John Rieffel. 1049-1052 [doi]
- A reference points-based evolutionary algorithm for many-objective optimizationYiping Liu, Dunwei Gong, Xiaoyan Sun, Yong Zhang. 1053-1056 [doi]
- Particles types in a swarm: searching for efficiencyLukasz Rokita, PrzemysLaw Ogrodowski. 1057-1060 [doi]
- Flood evolution: changing the evolutionary substrate from a path of stepping stones to a field of rocksDavid Peter Shorten, Geoff Nitschke. 1061-1064 [doi]
- Consensus costs and conflict in robot swarmsTimothy Solum, Brent E. Eskridge, Ingo Schlupp. 1065-1068 [doi]
- A case based approach for an intelligent route optimization technologyMasaki Suzuki, Taro Matsumaru, Setsuo Tsuruta, Rainer Knauf, Takaaki Motomura, Yoshitaka Sakurai. 1069-1072 [doi]
- A niching cumulative genetic algorithm with evaluated probability for multimodal optimizationHongjun Yang, Yixu Song, Lihua Wang, Peifa Jia. 1073-1076 [doi]
- A quantitative analysis of the simplification genetic operatorHaoxi Zhan. 1077-1080 [doi]
- EA stability visualization: perturbations, metrics and performanceMatthew J. Craven, Henri C. Jimbo. 1083-1090 [doi]
- On the visualization of trade-offs and reducibility in many-objective optimizationAlan R. R. de Freitas, Rodrigo C. P. Silva, Frederico G. Guimarães. 1091-1098 [doi]
- Initial experiments in visualization of empirical attainment function differences using maximum intensity projectionTea Tusar, Bogdan Filipic. 1099-1106 [doi]
- Scripting and framework integration in heuristic optimization environmentsAndreas Beham, Johannes Karder, Gabriel Kronberger, Stefan Wagner 0002, Michael Kommenda, Andreas Scheibenpflug. 1109-1116 [doi]
- Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial resultsJames Brookhouse, Fernando E. B. Otero, Michael Kampouridis. 1117-1124 [doi]
- Distributed optimization on super computers: case study on software architecture optimization frameworkRamin Etemaadi, Michel R. V. Chaudron. 1125-1132 [doi]
- Hyperion2: a toolkit for {meta-, hyper-} heuristic researchAlexander E. I. Brownlee, Jerry Swan, Ender Özcan, Andrew J. Parkes. 1133-1140 [doi]
- A scalable symbolic expression tree interpreter for the heuristiclab optimization frameworkSimone Cirillo, Stefan Lloyd. 1141-1148 [doi]
- A genetic programming problem definition language code generator for the epochX frameworkClaris Leroux, Fernando E. B. Otero, Colin G. Johnson. 1149-1154 [doi]
- NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScriptJuan Julián Merelo Guervós, Pedro A. Castillo Valdivieso, Antonio Mora García, Anna Esparcia-Alcázar, Víctor Manuel Rivas Santos. 1155-1162 [doi]
- A probabilistic pareto local search based on historical success counting for multiobjective optimizationXinye Cai, Xin Cheng, Zhun Fan. 1163-1168 [doi]
- Evolutionary synthesis of dynamical systems: the past, current, and futureZhun Fan, Xinye Cai, Wenji Li, Huibiao Lin, Shuxiang Xie, Sheng Wang. 1169-1174 [doi]
- Design optimization of MEMS using constrained multi-objective evolutionary algorithmWenji Li, Zhun Fan, Xinye Cai, Huibiao Lin, Shuxiang Xie, Sheng Wang. 1175-1180 [doi]
- Epsilon constrained method for constrained multiobjective optimization problems: some preliminary resultsZhixiang Yang, Xinye Cai, Zhun Fan. 1181-1186 [doi]
- Efficiency enhancements for evolutionary capacity planning in distribution gridsHoang Ngoc Luong, Marinus O. W. Grond, Han La Poutré, Peter A. N. Bosman. 1189-1196 [doi]
- Reinforcement learning based energy efficient LTE RANJoan Meseguer Llopis, Lukasz Rajewski, Slawomir Kuklinski. 1197-1204 [doi]
- Balancing performance, resource efficiency and energy efficiency for virtual machine deployment in DVFS-enabled clouds: an evolutionary game theoretic approachYi Ren, Junichi Suzuki, Chonho Lee, Athanasios V. Vasilakos, Shingo Omura, Katsuya Oba. 1205-1212 [doi]
- A survey on sustainability in ICT: a computing perspectiveAlexandru-Adrian Tantar, Emilia Tantar. 1213-1220 [doi]
- A comparison of antenna placement algorithmsAbhinav Jauhri, Jason D. Lohn, Derek S. Linden. 1223-1230 [doi]
- Hyper-heuristic genetic algorithm for solving frequency assignment problem in TD-SCDMAChao Yang, Shuming Peng, Bin Jiang, Lei Wang, Renfa Li. 1231-1238 [doi]
- A real-world employee scheduling and routing applicationEmma Hart, Kevin Sim, Neil Urquhart. 1239-1242 [doi]
- Enforcing corporate security policies via computational intelligence techniquesAntonio Miguel Mora, Paloma de las Cuevas, Juan Julián Merelo Guervós, Sergio Zamarripa, Anna Isabel Esparcia-Alcázar. 1245-1252 [doi]
- On botnet behaviour analysis using GP and C4.5Fariba Haddadi, Dylan Runkel, A. Nur Zincir-Heywood, Malcolm I. Heywood. 1253-1260 [doi]
- Evolutionary based moving target cyber defenseDavid J. John, Robert W. Smith, William H. Turkett Jr., Daniel A. Cañas, Errin W. Fulp. 1261-1268 [doi]
- On the role of multi-objective optimization in risk mitigation for critical infrastructures with robotic sensor networksJamieson McCausland, Rami S. Abielmona, Rafael Falcon, Ana-Maria Cretu, Emil M. Petriu. 1269-1276 [doi]
- Evolving relational hierarchical classification rules for predicting gene ontology-based protein functionsRicardo Cerri, Rodrigo C. Barros, Alex Alves Freitas, André Carlos Ponce Leon Ferreira de Carvalho. 1279-1286 [doi]
- On the application of GP to streaming data classification tasks with label budgetsAli Vahdat, Aaron Atwater, Andrew R. McIntyre, Malcolm I. Heywood. 1287-1294 [doi]
- Classification of EEG signals using a novel genetic programming approachArpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna. 1297-1304 [doi]
- Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computationJosé Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Esther Maqueda, Marta Botella, José Antonio Rubio, Alfredo Cuesta-Infante, Oscar Garnica, Juan Lanchares. 1305-1312 [doi]
- An evaluation of particle swarm optimization techniques in segmentation of biomedical imagesSalim Lahmiri, Mounir Boukadoum. 1313-1320 [doi]
- Classification and characterisation of movement patterns during levodopa therapy for parkinson's diseaseMichael A. Lones, Jane E. Alty, Phillipa Duggan-Carter, Andrew J. Turner, D. R. Stuart Jamieson, Stephen L. Smith. 1321-1328 [doi]
- Noise-aware evolutionary TDMA optimization for neuronal signaling in medical sensor-actuator networksJunichi Suzuki, Pruet Boonma. 1329-1336 [doi]
- Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory systemStephan M. Winkler, Michael Affenzeller, Susanne Schaller, Herbert Stekel. 1337-1344 [doi]
- A mathematical model of a cold rolling mill by symbolic regression alpha-betaLuis A. Alvarado-Yañez, Luis M. Torres-Treviño, F. Gonzalez, L. Nieves. 1347-1352 [doi]
- Predict the performance of GE with an ACO based machine learning algorithmGopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan. 1353-1360 [doi]
- Genetic programming with data migration for symbolic regressionMichael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler. 1361-1366 [doi]
- Identification and prediction using symbolic regression alpha-beta: preliminary resultsLuis M. Torres-Treviño. 1367-1372 [doi]
- Automated design of algorithms and genetic improvement: contrast and commonalitiesSaemundur O. Haraldsson, John R. Woodward. 1373-1380 [doi]
- A step size based self-adaptive mutation operator for evolutionary programmingLibin Hong, John H. Drake, Ender Özcan. 1381-1388 [doi]
- A problem configuration study of the robustness of a black-box search algorithm hyper-heuristicMatthew A. Martin, Daniel R. Tauritz. 1389-1396 [doi]
- Benchmarks that matter for genetic programmingJohn Woodward, Simon Martin, Jerry Swan. 1397-1404 [doi]
- Structural stigmergy: a speculative pattern language for metaheuristicsBen Kovitz, Jerry Swan. 1407-1410 [doi]
- Tagging in metaheuristicsBen Kovitz, Jerry Swan. 1411-1414 [doi]
- Metaheuristic design pattern: candidate solution repairKrzysztof Krawiec. 1415-1418 [doi]
- Metaheuristics in nature-inspired algorithmsMichael A. Lones. 1419-1422 [doi]
- A template for designing single-solution hybrid metaheuristicsManuel López-Ibáñez, Franco Mascia, Marie-Eléonore Marmion, Thomas Stützle. 1423-1426 [doi]
- The executable experimental template pattern for the systematic comparison of metaheuristics: Extended AbstractGeoffrey Neumann, Jerry Swan, Mark Harman, John A. Clark. 1427-1430 [doi]
- Metaheuristic design pattern: interactive solution presentationMark R. N. Shackelford, Christopher L. Simons. 1431-1434 [doi]
- The 'representative' metaheuristic design patternJerry Swan, Zoltan A. Kocsis, Alexei Lisitsa. 1435-1436 [doi]
- Template method hyper-heuristicsJohn Robert Woodward, Jerry Swan. 1437-1438 [doi]
- The 'composite' design pattern in metaheuristicsJohn Woodward, Jerry Swan, Simon Martin. 1439-1444 [doi]
- NSGA-II implementation details may influence quality of solutions for the job-shop scheduling problemMaxim Buzdalov, Irina Petrova, Arina Buzdalova. 1445-1446 [doi]
- Some measurements on the effects of the curse of dimensionalityStephen Chen, James Montgomery, Antonio Bolufé Röhler. 1447-1448 [doi]
- A fast genetic algorithm for the flexible job shop scheduling problemMarcin Cwiek, Jakub Nalepa. 1449-1450 [doi]
- Genetic algorithms for evolving deep neural networksOmid E. David, Iddo Greental. 1451-1452 [doi]
- A modified gravitational search algorithm for continuous optimizationEmerson Hochsteiner de Vasconcelos Segundo, Gabriel Fiori Neto, Andre Mendes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho. 1453-1454 [doi]
- Bat-inspired optimization approach applied to jiles-atherton hysteresis parameters tuningLeandro dos Santos Coelho, Viviana Cocco Mariani, Helon Vicente Hultmann Ayala, Andre Mendes da Silva, Nelson Jhoe Batistela, Jean Vianei Leite. 1455-1456 [doi]
- Portfolio optimization using an integer genetic algorithmJavier Fernández-Rendón, Katya Rodríguez-Vázquez. 1457-1458 [doi]
- Towards the automated generation of term-weighting schemes for text categorizationMauricio Garcia-Limon, Hugo Jair Escalante, Manuel Montes-y-Gómez, Alicia Morales-Reyes, Eduardo F. Morales. 1459-1460 [doi]
- A genetic algorithm for linear ordering problem using an approximate fitness evaluationJinhyun Kim, Byung Ro Moon. 1461-1462 [doi]
- ABC+ES: a novel hybrid artificial bee colony algorithm with evolution strategiesMarco A. F. Mollinetti, Daniel Leal Souza, Otávio Noura Teixeira. 1463-1464 [doi]
- Evolved transforms for improved reconstruction of lossy-compressed NASA imagesFrank W. Moore, Brendan J. Babb. 1465-1466 [doi]
- Adaptive memetic algorithm for the vehicle routing problem with time windowsJakub Nalepa. 1467-1468 [doi]
- An iterative model refinement approach for MOEA computation time reductionMathias Ngo, Raphaël Labayrade. 1469-1470 [doi]
- A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problemEneko Osaba, Fernando Díaz, Roberto Carballedo, Idoia De-la-Iglesia, Enrique Onieva, Asier Perallos. 1471-1472 [doi]
- A study on the impact of heuristic initialization functions in a genetic algorithm solving the N-queens problemEneko Osaba, Fernando Díaz, Roberto Carballedo, Enrique Onieva, Pedro Lopez. 1473-1474 [doi]
- Improving reconstructed images using hybridization between local search and harmony search meta-heuristicsAhlem Ouaddah, Dalila Boughaci. 1475-1476 [doi]
- First results of performance comparisons on many-core processors in solving QAP with ACO: kepler GPU versus xeon PHIMikiko Sato, Shigeyoshi Tsutsui, Noriyuki Fujimoto, Yuji Sato, Mitaro Namiki. 1477-1478 [doi]
- Evaluation of fitness functions of GA classificationMing-Der Yang, Yeh-Fen Yang, Yi-Ping Chen. 1479-1480 [doi]
- A speed-up and speed-down strategy for swarm optimizationHaopeng Zhang, Fumin Zhang, Qing Hui. 1481-1482 [doi]
- A novel genetic clustering algorithm with variable-length chromosome representationMing-an Zhang, Yong Deng, Dong-Xia Chang. 1483-1484 [doi]
- A novel quantum genetic clustering algorithm for data segmentationMing-an Zhang, Yong Deng, Dong-Xia Chang. 1485-1486 [doi]
- Women@GECCO 2014Una-May O'Reilly, Anna Esparcia-Alcázar, Anne Auger, Carola Doerr, Anikó Ekárt, Gabriela Ochoa. 1487-1488 [doi]