Abstract is missing.
- Estimating swarm parameters by evolutionary learningRichard D. Coates, Simon J. Hickinbotham. 1-2 [doi]
- Mechanism of failure diagnosis based on language games and q-learning over a termites simulatorArles Ernesto Rodriguez Portela, Jonatan Gómez Perdomo. 3-4 [doi]
- Different versions of particle swarm optimization for magnetic problemsTomasz M. Gwizdalla. 5-6 [doi]
- Optimizing stacking ensemble by an ant colony optimization approachYijun Chen, Man Leung Wong. 7-8 [doi]
- Animations rendered by braitenberg vehiclesVictor Ciesielski, Perry Barile. 9-10 [doi]
- Optimal relay station placement in cooperative networks using particle swarmSamreen Umer, Adnan Ahmed Khan. 11-12 [doi]
- A detailed analysis of the population-based ant colony optimization algorithm for the TSP and the QAPSabrina M. Oliveira, Mohamed Saifullah Hussin, Thomas Stützle, Andrea Roli, Marco Dorigo. 13-14 [doi]
- An ant colony optimization approach for efficient admission scheduling of elective inpatientsYing Lin, Jun Zhang. 15-16 [doi]
- Particle swarm optimization for multi-label classificationTiago Amador Coelho, Ahmed Ali Abdalla Esmin, Wagner Meira Júnior. 17-18 [doi]
- Incremental genetic programming via genetic transpositionIvan Tanev, Tüze Kuyucu, Katsunori Shimohara. 19-20 [doi]
- Biologically inspired control of a simulated octopus ARM via recurrent neural networksKohei Nakajima, Tao Li, Naveen Kuppuswamy, Rolf Pfeifer. 21-22 [doi]
- Effects of biased group selection on cooperative predation in digital organismsDaniel J. Couvertier, Philip K. McKinley. 23-24 [doi]
- Emergence of altruism in open-ended evolution in a population of autonomous agentsJean-Marc Montanier, Nicolas Bredeche. 25-26 [doi]
- Embodied artificial evolution: the future of artificial evolutionary systemsA. E. Eiben, N. Ferreira, Martijn C. Schut, S. Kernbach. 27-28 [doi]
- Genetic clustering for the identification of speciesJaimie Murdock, Larry S. Yaeger. 29-30 [doi]
- Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized searchJason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson. 31-32 [doi]
- Ion channel modeling with analog circuit evolutionTheodore W. Cornforth, Jim Torresen, Hod Lipson. 33-34 [doi]
- Optimization of grammatical evolution decision treesKristopher Hoover, Rachel Marceau, Tyndall Harris, Nicholas E. Hardison, David M. Reif, Alison A. Motsinger-Reif. 35-36 [doi]
- Comparing paired comparison-based interactive DE and tournament interactive GA on stained glass designDenis Pallez, Andrea Tettamanzi, Célia da Costa Pereira. 37-38 [doi]
- An adaptive evolutionary algorithm based on typical chess problems for tuning a chess evaluation functionEduardo Vázquez-Fernández, Carlos Artemio Coello Coello, Feliu Davino Sagols Troncoso. 39-40 [doi]
- Evolutionary music composition based on Zipf s lawJohannes H. Jensen, Pauline C. Haddow. 41-42 [doi]
- Interactive operators for evolutionary architectural designJonathan Byrne, Erik Hemberg, Michael O Neill. 43-44 [doi]
- A memetic algorithm for solving multiperiod vehicle routing problem with profitChan Hou Che, Zizhen Zhang, Andrew Lim. 45-46 [doi]
- An expertise-guided multi-criteria approach to scheduling problemsChristian Grimme, Markus Kemmerling, Joachim Lepping. 47-48 [doi]
- Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristicsSantiago Enrique Conant-Pablos, Halley Jarumy Ferrer-Soriano, Hugo Terashima-Marín. 49-50 [doi]
- Guided local search for the optimal communication spanning tree problemWolfgang Steitz, Franz Rothlauf. 51-52 [doi]
- Dynamic regional harmony search with opposition and local learningA. K. Qin, Florence Forbes. 53-54 [doi]
- Quantum-inspired tabu search algorithm for solving 0/1 knapsack problemsYao-Hsin Chou, Chia-Hui Chiu, Yi-Jyuan Yang. 55-56 [doi]
- Comparing the performance of evolutionary algorithms for permutation constraint satisfactionLuis de Marcos, Antonio García-Cabot, Eva García, José-Amelio Medina, Salvador Otón. 57-58 [doi]
- Addition chain length minimization with evolutionary programmingSaúl Domínguez-Isidro, Efrén Mezura-Montes, Luis Guillermo Osorio-Hernández. 59-60 [doi]
- A test function with full controllability over overlapping: estimation of distribution algorithmsJen-Hao Chang, Chung-Hsiang Hsueh, Hsuan Lee, Tian-Li Yu, Tsung-Yu Ho. 61-62 [doi]
- Importance sampling regularization for estimation of distribution algorithmsTakayuki Higo. 63-64 [doi]
- Candidate oversampling prefers two to tango: estimation of distribution algorithmsDavid Wallin, Conor Ryan, R. Muhammad Atif Azad. 65-66 [doi]
- Solving multimodal combinatorial puzzles with edge-based estimation of distribution algorithmWarin Wattanapornprom, Prabhas Chongstitvatana. 67-68 [doi]
- The gaussian polytree EDA for global optimizationIgnacio Segovia-Dominguez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce. 69-70 [doi]
- Interaction detection by NFE estimation: a practical view of building blocksKai-Chun Fan, Tian-Li Yu, Jui-Ting Lee. 71-72 [doi]
- Efficient EDA for large opimization problems via constraining the search space of modelsElham Salehi, Robin Gras. 73-74 [doi]
- Integration of NSGA-II and MOEA/D in multimethod search approach: algorithmsWali Khan Mashwani. 75-76 [doi]
- Attraction based PSO with sphere search for dynamic constrained multi-objective optimization problemsJingxuan Wei, Mengjie Zhang. 77-78 [doi]
- LAMM-MMA: multiobjective memetic algorithm with local aggregate meta-modelMartin Pilát, Roman Neruda. 79-80 [doi]
- A stamina-aware sightseeing tour scheduling methodBing Wu, Weihua Sun, Yoshihiro Murata, Keiichi Yasumoto, Minoru Ito. 81-82 [doi]
- Evolutionary multiobjective optimization for emergency medical servicesJavier H. López, Laura Lanzarini, Armando De Giusti. 83-84 [doi]
- Spatio-temporal data evolutionary clustering based on MOEA/DJingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang. 85-86 [doi]
- Uncertainty based evolutionary optimisationStefano Suardi, Rajkumar Roy, Jörn Mehnen, Yoseph Tafesse Azene. 87-88 [doi]
- A multi-objective window optimisation problemAlexander E. I. Brownlee, Jonathan A. Wright, Monjur M. Mourshed. 89-90 [doi]
- Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methodsRoberto Santana, Hossein Karshenas, Concha Bielza, Pedro Larrañaga. 91-92 [doi]
- KKT proximity measure for testing convergence in smooth multi-objective optimizationRupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru. 93-94 [doi]
- Clustering based leaders selection in multi-objective evolutionary algorithmsNoura Al Moubayed, Andrei Petrovski, John A. W. McCall. 95-96 [doi]
- Considerations of the nature of the relationship between generalization and interpretability in evolutionary fuzzy systemsAdam Mostafa Ghandar, Zbigniew Michalewicz. 97-98 [doi]
- JGBL paradigm: a novel strategy to enhance the exploration ability of nsga-iiKe Li, Sam Kwong, Kim-Fung Man. 99-100 [doi]
- Adaptive shifting of auxiliary strategies over three formulations of multicast routing problemMarcos Luiz de Paula Bueno, Gina Maira Barbosa de Oliveira. 101-102 [doi]
- A novel multi-objective optimization algorithm based on artificial bee colonyWenping Zou, Yunlong Zhu, Hanning Chen, Hai Shen. 103-104 [doi]
- A classification of dynamic multi-objective optimization problemsAlexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry. 105-106 [doi]
- Rank-based dimension reduction for many-criteria populationsDavid J. Walker, Richard M. Everson, Jonathan E. Fieldsend. 107-108 [doi]
- Integrating niching into the predator-prey model using epsilon-constraintsChristian Grimme, Joachim Lepping. 109-110 [doi]
- Adaptive parameter selection for strategy adaptation in differential evolutionWenyin Gong, Zhihua Cai. 111-112 [doi]
- A robust memetic algorithm with self-stopping capabilitiesJosé Luis Guerrero, Antonio Berlanga, José Manuel Molina. 113-114 [doi]
- (1+2)-evolution strategy for fitting a straight shuffle of min to a datasetAlfredo Cuesta-Infante, José Ignacio Hidalgo, María Victoria Rivas. 115-116 [doi]
- Designing artificial tetris players with evolution strategies and racingAmine M. Boumaza. 117-118 [doi]
- Noisy optimization with sequential parameter optimization and optimal computational budget allocationThomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch. 119-120 [doi]
- Comparison of cooperative, multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisationMaksud Ibrahimov, Arvind Mohais, Sven Schellenberg, Zbigniew Michalewicz. 121-122 [doi]
- A guide for fitness function designJosh L. Wilkerson, Daniel R. Tauritz. 123-124 [doi]
- A new packing method for two dimensional rectilinear polygons using genetic algorithmMitsukuni Matayoshi. 125-126 [doi]
- Importance of information exchange in quasi-parallel genetic algorithmsGuan Wang, Degang Wu, Wenjin Chen, Kwok Yip Szeto. 127-128 [doi]
- Fecundity and selectivity in evolutionary computationLee Spector, Thomas Helmuth, Kyle Harrington. 129-130 [doi]
- Genetic algorithms as a pre processing strategy for imbalanced datasetsMarcelo Beckmann, Beatriz S. L. P. de Lima, Nelson F. F. Ebecken. 131-132 [doi]
- Geometric surrogate-based optimisation for permutation-based problemsAlberto Moraglio, Yong-Hyuk Kim, Yourim Yoon. 133-134 [doi]
- Controlling the tradeoff between time and quality by considering the reproductive potential of offspringEddy Parkinson, Adam Ghandar, Zbigniew Michalewicz, Andrew Tuson. 135-136 [doi]
- Analysis of properties of recombination operators proposed for the node-depth encodingTelma Woerle de Lima, Alexandre Cláudio Botazzo Delbem, Franz Rothlauf. 137-138 [doi]
- A trading method in FX using evolutionary algorithms: extensions based on reverse trend and settlement timingBadarch Tserenchimed, Shu Liu, Hitoshi Iba. 139-140 [doi]
- Empirical analysis of cooperative coevolution using blind decompositionMin Shi. 141-142 [doi]
- Differential evolution with improved population reductionMing Yang, Zhihua Cai, Jing Guan, Wenyin Gong. 143-144 [doi]
- Visual analytics of EA dataEvelyne Lutton, Jean-Daniel Fekete. 145-146 [doi]
- Noise, fitness distribution, and selection intensity in genetic algorithmsTimothy Meekhof, Terence Soule. 147-148 [doi]
- DXNN: evolving complex organisms in complex environments using a novel tweann systemGene I. Sher. 149-150 [doi]
- Large scale empirical analysis of cooperative coevolutionSean Luke, Keith Sullivan, Faisal Abidi. 151-152 [doi]
- A multiset genetic algorithm for real coded problemsAntónio Manuel Rodrigues Manso, Luís Miguel Parreira Correia. 153-154 [doi]
- Meta-evolved empirical evidence of the effectiveness of dynamic parametersBrian W. Goldman, Daniel R. Tauritz. 155-156 [doi]
- Raising mutation rate in the context of hybrid genetic algorithmsYu-Min Son, Byung Ro Moon. 157-158 [doi]
- A multi-objective memetic algorithm for relay node placement in wireless sensor networkJing-Hui Zhong, Jun Zhang. 159-160 [doi]
- The effect of selection from old populations in genetic algorithmsMauro Castelli, Luca Manzoni, Leonardo Vanneschi. 161-162 [doi]
- Evolving time-lagged feedforward neural networks for time series forecastingJuan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez. 163-164 [doi]
- Evolving associative classifier for incomplete database using genetic network programmingKaoru Shimada, Kotaro Hirasawa. 165-166 [doi]
- Fuzzy dynamical genetic programming in XCSFRichard Preen, Larry Bull. 167-168 [doi]
- Fast prediction computation in learning classifier systems using CUDADaniele Loiacono. 169-170 [doi]
- A multi-objective memetic algorithm for the linguistic summarization of time seriesRita Castillo-Ortega, Nicolás Marín, Daniel Sánchez, Andrea Tettamanzi. 171-172 [doi]
- Using bayesian networks for selecting classifiers in GP ensemblesClaudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca. 173-174 [doi]
- How many neurons?: a genetic programming answerLeonardo Trujillo, Yuliana Martínez, Patricia Melin. 175-176 [doi]
- Evolution of reward functions for reinforcement learningScott Niekum, Lee Spector, Andrew G. Barto. 177-178 [doi]
- A memory scheme for genetic network programming with adaptive mutationFengming Ye, Shingo Mabu, Kotaro Hirasawa. 179-180 [doi]
- Confusion matrices for improving performance of feature pattern classifier systemsIgnas Kukenys, Will N. Browne, Mengjie Zhang. 181-182 [doi]
- Dynamic ant: introducing a new benchmark for genetic programming in dynamic environmentsDavid Fagan, Miguel Nicolau, Erik Hemberg, Michael O Neill, Anthony Brabazon. 183-184 [doi]
- Empirical study of surrogate models for black box optimizations obtained using symbolic regression via genetic programmingGlen D. Rodriguez Rafael, Carlos Javier Solano Salinas. 185-186 [doi]
- Bloat control in genetic programming with a histogram-based accept-reject methodMarc-André Gardner, Christian Gagné, Marc Parizeau. 187-188 [doi]
- Intrinsic evolvable hardware for combinatorial synthesis based on SoC+FPGA and GPU platformsCarlos Iván Camargo Bareño, Cesar Augusto Pedraza Bonilla, Luis Fernado Niño, José Ignacio Martinez Torre. 189-190 [doi]
- Dynamic environments can speed up evolution with genetic programmingMichael O Neill, Miguel Nicolau, Anthony Brabazon. 191-192 [doi]
- A new approach for generating numerical constants in grammatical evolutionDouglas Adriano Augusto, Helio J. C. Barbosa, André da Motta Salles Barreto, Heder S. Bernardino. 193-194 [doi]
- Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimationStephan M. Winkler, Michael Affenzeller, Stefan Wagner. 195-196 [doi]
- SMCGP2: finding algorithms that approximate numerical constants using quaternions and complex numbersSimon Harding, Julian F. Miller, Wolfgang Banzhaf. 197-198 [doi]
- Stateful program representations for evolving technical trading rulesAlexandros Agapitos, Michael O Neill, Anthony Brabazon. 199-200 [doi]
- Caching for parallel linear genetic programmingCarlton Downey, Mengjie Zhang. 201-202 [doi]
- Early stopping criteria to counteract overfitting in genetic programmingClíodhna Tuite, Alexandros Agapitos, Michael O Neill, Anthony Brabazon. 203-204 [doi]
- Generalisation in genetic programmingWilliam B. Langdon. 205-206 [doi]
- Developmental scalable hierarchies for multi-agent swarmsTerence Soule, Robert B. Heckendorn. 207-208 [doi]
- Dynamic l-systems in GERobin Harper. 209-210 [doi]
- Co-evolutionary differential evolution with dynamic population size and adaptive migration strategyZhi-hui Zhan, Jun Zhang. 211-212 [doi]
- A Java-based parallel genetic algorithm for the land use planning problemJuan Porta, Jorge Parapar, Guillermo L. Taboada, Ramon Doallo, Francisco F. Rivera, Inés Santé, Marcos Suárez, Marcos Boullón, Rafael Crecente. 213-214 [doi]
- HIER-HEIR: an evolutionary system with hierarchical representation & contextual operators applied to fashion designAbhinav Malhotra, Varun Aggarwal. 215-216 [doi]
- Medical image segmentation by hybridizing ant colony optimization and fuzzy clustering algorithmJeong-min Yu, Sang-Goog Lee, Moongu Jeon. 217-218 [doi]
- Evolving sparsely connected neural networks for multi-step ahead forecastingJuan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez. 219-220 [doi]
- Evolving automatic frame splittersAndy Song, Feng Xie. 221-222 [doi]
- Bio-inspired event dissemination in dynamic and decentralized networksAdam S. Banzi, Aurora T. R. Pozo, Elias Procópio Duarte Jr.. 223-224 [doi]
- Evolutionary failing-test generation for modern microprocessorsErnesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda. 225-226 [doi]
- Performance analysis of multiobjective bio-inspired UAV path plannersEva Besada-Portas, Luis de la Torre, Alejandro Moreno, José Luis Risco-Martín. 227-228 [doi]
- Evolved election forecasts: using genetic algorithms in improving election forecast resultsRonald Hochreiter, Christoph Waldhauser. 229-230 [doi]
- When does simulated data match real data?Forrest Stonedahl, David Anderson, William Rand. 231-232 [doi]
- A cooperative biomimetic approach for high dimensional data miningLydia Boudjeloud, Hanane Azzag. 233-234 [doi]
- A modified differential evolution for autonomous deployment and localization of sensor nodesSubhrajit Roy, Sk Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, Pavel Krömer. 235-236 [doi]
- Genetic invention of fast and optimal broad-band stokes/mueller polarimeter designsPaul Anton Letnes, Ingar Stian Nerbø, Lars Martin Sandvik Aas, Pål Gunnar Ellingsen, Morten Kildemo. 237-238 [doi]
- Genetic network programming with changing structures for a novel stock selection modelVictor Parque, Shingo Mabu, Kotaro Hirasawa. 239-240 [doi]
- Requirements interaction in the next release problemJosé del Sagrado, Isabel M. Águila, Francisco Javier Orellana. 241-242 [doi]
- Scalability of the coevolutionary automated software correction systemJosh L. Wilkerson, Daniel R. Tauritz. 243-244 [doi]
- Software clustering by exampleMartin Faunes, Marouane Kessentini, Houari A. Sahraoui. 245-246 [doi]
- Automatic mutation based test data generationMike Papadakis, Nicos Malevris. 247-248 [doi]
- Multi-objective genetic synthesis of software architectureOuti Räihä, Kai Koskimies, Erkki Mäkinen. 249-250 [doi]
- An approach to automatic input sequence generation for GUI testing using ant colony optimizationSebastian Bauersfeld, Stefan Wappler, Joachim Wegener. 251-252 [doi]
- Social adaptive groups: a new approach for evolutionary optimisation based on social behaviour evolutionMikdam Turkey, Riccardo Poli. 253-254 [doi]
- On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problemsJosé Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes. 255-256 [doi]
- A hyper-heuristic for solving one and two-dimensional bin packing problemsEunice López-Camacho, Hugo Terashima-Marín, Peter Ross. 257-258 [doi]
- Instance-based parameter tuning for evolutionary AI planningMátyás Brendel, Marc Schoenauer. 259-260 [doi]
- Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problemsJosé Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos. 261-262 [doi]
- Simultaneous tuning of metaheuristic parameters for various computing budgetsJürgen Branke, Jawad Elomari. 263-264 [doi]
- Collisions are helpful for computing unique input-output sequencesChao Qian, Yang Yu, Zhi-Hua Zhou. 265-266 [doi]
- Simple tools for multimodal optimizationMarc Schoenauer, Fabien Teytaud, Olivier Teytaud. 267-268 [doi]
- Population diversity index: a new measure for population diversitySelmar K. Smit, Zoltan Szláavik, Ágoston E. Eiben. 269-270 [doi]
- Explorations on template-directed genetic repair using ancient ancestors and other templatesDonagh Hatton, Diarmuid P. O Donoghue. 325-332 [doi]
- Case study: constraint handling in evolutionary optimization of catalytic materialsMartin Holena, David Linke, Lukás Bajer. 333-340 [doi]
- A memetic algorithm for two-dimensional multi-objective bin-packing with constraintsAntonio Fernández, Consolación Gil, Antonio López Márquez, Raul Baños, Maria Dolores Gil Montoya, María Parra. 341-346 [doi]
- Combining PSO and local search to solve scheduling problemsXue-Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa. 347-354 [doi]
- Voting based learning classifier system for multi-label classificationKaveh Ahmadi Abhari, Ali Hamzeh, Sattar Hashemi. 355-360 [doi]
- PCA for improving the performance of XCSF in classification of high-dimensional problemsMohammad Behdad, Tim French, Luigi Barone, Mohammed Bennamoun. 361-368 [doi]
- Random artificial incorporation of noise in a learning classifier system environmentRyan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore. 369-374 [doi]
- Automatically defined functions for learning classifier systemsMuhammad Iqbal, Mengjie Zhang, Will N. Browne. 375-382 [doi]
- XCSF with local deletion: preventing detrimental forgettingMartin V. Butz, Olivier Sigaud. 383-390 [doi]
- Grid data mining by means of learning classifier systems and distributed model inductionManuel Filipe Santos, Wesley Mathew, Henrique Dinis Santos. 391-398 [doi]
- Evolving CUDA PTX programs by quantum inspired linear genetic programmingLeandro F. Cupertino, Cleomar P. Silva, Douglas Mota Dias, Marco Aurélio Cavalcanti Pacheco, Cristiana Bentes. 399-406 [doi]
- Acceleration of genetic algorithms for sudoku solution on many-core processorsYuji Sato, Naohiro Hasegawa, Mikiko Sato. 407-414 [doi]
- Debugging CUDAWilliam B. Langdon. 415-422 [doi]
- Performing with CUDAWilliam B. Langdon. 423-430 [doi]
- Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardwarePetr Pospichal, Eoin Murphy, Michael O Neill, Josef Schwarz, Jirí Jaros. 431-438 [doi]
- Bitwise operations for GPU implementation of genetic algorithmsMartin Pedemonte, Enrique Alba, Francisco Luna. 439-446 [doi]
- Identifying similarities in TMBL programs with alignment to quicken their compilation for GPUs: computational intelligence on consumer games and graphics hardwareTony E. Lewis, George D. Magoulas. 447-454 [doi]
- TMBL kernels for CUDA GPUs compile faster using PTX: computational intelligence on consumer games and graphics hardwareTony E. Lewis, George D. Magoulas. 455-462 [doi]
- Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NETSimon Harding, Wolfgang Banzhaf. 463-470 [doi]
- Multi-reward policies for medical applications: anthrax attacks and smart wheelchairsHarold Soh, Yiannis Demiris. 471-478 [doi]
- Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patientsManuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez. 479-486 [doi]
- Automatic hippocampus localization in histological images using PSO-based deformable modelsRoberto Ugolotti, Pablo Mesejo, Stefano Cagnoni, Mario Giacobini, Ferdinando Di Cunto. 487-494 [doi]
- An adaptive binary PSO to learn bayesian classifier for prognostic modeling of metabolic syndromeSatchidananda Dehuri, Rahul Roy, Sung-Bae Cho. 495-502 [doi]
- Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory systemStephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel. 503-510 [doi]
- On the performance of evolutionary algorithms in biomedical keyword clusteringViktoria Dorfer, Stephan M. Winkler, Thomas Kern, Sophie A. Blank, Gerald Petz, Patrizia Faschang. 511-518 [doi]
- Road traffic optimisation using an evolutionary gameSyed Md. Galib, Irene Moser. 519-526 [doi]
- A social behaviour evolution approach for evolutionary optimisationMikdam Turkey, Riccardo Poli. 527-534 [doi]
- An agent-based model of the effects of a primate social structure on the speed of natural selectionGideon M. Gluckman, Joanna Bryson. 535-542 [doi]
- Sociotechnical simulation and evolutionary algorithm optimization for routing siren vehicles in a water distribution contamination eventM. Ehsan Shafiee, Emily M. Zechman. 543-550 [doi]
- Evolution for modeling: a genetic programming framework for sesamRobert Junges, Franziska Klügl. 551-558 [doi]
- Estimating functional agent-based models: an application to bid shading in online markets formatWei Guo, Wolfgang Jank, William Rand. 559-566 [doi]
- Towards the automatic design of decision tree induction algorithmsRodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas. 567-574 [doi]
- Self-configuring crossoverBrian W. Goldman, Daniel R. Tauritz. 575-582 [doi]
- Automatically designing selection heuristicsJohn Robert Woodward, Jerry Swan. 583-590 [doi]
- Instance-based parameter tuning for evolutionary AI planningMátyás Brendel, Marc Schoenauer. 591-598 [doi]
- Robot routing in sparse wireless sensor networks with continuous ant colony optimizationGiovanni Comarela, Kênia Gonçalves, Gisele Lobo Pappa, Jussara M. Almeida, Virgilio Almeida. 599-606 [doi]
- A cooperative coevolutionary algorithm for the design of wireless sensor networks: track name: bio-inspired solutions for wireless sensor networksAndré Siqueira Ruela, André Luiz Lins Aquino, Frederico Gadelha Guimarães. 607-614 [doi]
- Implementing a model of Japanese tree frogs calling behavior in sensor networks: a study of possible improvementsHugo Hernández, Christian Blum. 615-622 [doi]
- Separating the wheat from the chaff: on feature selection and feature importance in regression random forests and symbolic regressionSean Stijven, Wouter Minnebo, Katya Vladislavleva. 623-630 [doi]
- Overfitting detection and adaptive covariant parsimony pressure for symbolic regressionGabriel Kronberger, Michael Kommenda, Michael Affenzeller. 631-638 [doi]
- A symbolic regression approach to manage femtocell coverage using grammatical genetic programmingErik Hemberg, Lester T. W. Ho, Michael O Neill, Holger Claussen. 639-646 [doi]
- Symbolic regression using α- β operators and estimation of distribution algorithms: preliminary resultsLuis M. Torres-Treviño. 647-654 [doi]
- Automatic pyrolysis mass loss modeling from thermo-gravimetric analysis data using genetic programmingKenneth L. Holladay, John Marshall Sharp, Marc Janssens. 655-662 [doi]
- The roles of local search, model building and optimal mixing in evolutionary algorithms from a bbo perspectivePeter A. N. Bosman, Dirk Thierens. 663-670 [doi]
- Second order heuristics in ACGPCezary Z. Janikow, John W. Aleshunas, Mark Hauschild. 671-678 [doi]
- Estimation of distribution algorithms: from available implementations to potential developmentsRoberto Santana. 679-686 [doi]
- Covariance-based parameters adaptation in differential evolutionValentino Santucci, Alfredo Milani. 687-690 [doi]
- Using landscape measures for the online tuning of heterogeneous distributed gasCarolina Salto, Enrique Alba, Francisco Luna. 691-694 [doi]
- Are evolutionary algorithm competitions characterizing landscapes appropriatelyPilar Caamaño, José Antonio Becerra, Francisco Bellas, Richard J. Duro. 695-702 [doi]
- Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ESTianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle. 703-706 [doi]
- Evaluating optimization algorithms: bounds on the performance of optimizers on unseen problemsDavid Corne, Alan P. Reynolds. 707-710 [doi]
- Open source tool for energy saving and efficient system managementConsolación Gil, Pedro Sánchez, Francisco G. Montoya, Antonio López Márquez. 711-718 [doi]
- An efficient routing protocol for green communications in vehicular ad-hoc networksJamal Toutouh, Enrique Alba. 719-726 [doi]
- Optimizing architectural and structural aspects of buildings towards higher energy efficiencyÁlvaro Fialho, Youssef Hamadi, Marc Schoenauer. 727-732 [doi]
- Load balancing for sustainable ICTAlexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry. 733-738 [doi]
- Evolving board-game players with genetic programmingAmit Benbassat, Moshe Sipper. 739-742 [doi]
- Extracting adaptation strategies for e-learning programs with XCSAnke Endler, Martin V. Butz, Günter Daniel Rey. 743-746 [doi]
- Investigating a new paradigm for designing evolutionary optimisation algorithms using social behaviour evolutionMikdam Turkey, Riccardo Poli. 747-750 [doi]
- A multiobjective optimization algorithm for discovering driving strategiesErik Dovgan, Matjaz Gams, Bogdan Filipic. 751-754 [doi]
- Cardiac myocyte model parameter sensitivity analysis and model transformation using a genetic algorithmArmen Kherlopian, Francis A. Ortega, David J. Christini. 755-758 [doi]
- Finite state machine induction using genetic algorithm based on testing and model checkingFedor Tsarev, Kirill Egorov. 759-762 [doi]
- Generation of tests for programming challenge tasks using evolution algorithmsMaxim Buzdalov. 763-766 [doi]
- Discrete dynamics of cellular machines: specification and interpretationStefano Nichele. 767-770 [doi]
- Swarm intelligence guided by multi-objective mathematical programming techniquesSaúl Zapotecas Martínez, Carlos A. Coello Coello. 771-774 [doi]
- Genetic algorithm for induction of finite automata with continuous and discrete output actionsAnton Alexandrov, Alexey Sergushichev, Sergey Kazakov, Fedor Tsarev. 775-778 [doi]
- Examining grammars and grammatical evolution in dynamic environmentsEoin Murphy. 779-782 [doi]
- Genotype-phenotype mapping in dynamic environments with grammatical evolutionDavid Fagan. 783-786 [doi]
- Design knowledge extraction in multi-objective optimization problemsSunith Bandaru, Kalyanmoy Deb. 787-790 [doi]
- MuGA: multiset genetic algorithmAntónio Manuel R. Manso, Luís Miguel Parreira Correia. 791-794 [doi]
- Estimation of distribution algorithms based on copula functionsRogelio Salinas-Gutiérrez, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce. 795-798 [doi]
- Size-based tournaments for node selectionThomas Helmuth, Lee Spector, Brian Martin. 799-802 [doi]
- Collaborative intelligence in living systems: algorithmic implications of evo-devo debatesZann Gill. 803-804 [doi]
- A multi-objective niching co-evolutionary algorithm (MNCA) for identifying diverse sets of non-dominated solutionsEmily M. Zechman, Marcio H. Giacomoni, M. Ehsan Shafiee. 805-806 [doi]
- Probabilistically interpolated rational hypercube landscape evolutionary algorithmDavid Andrew Cape, Daniel R. Tauritz. 807-808 [doi]
- Pricing transmission rights using ant colony optimizationSameer Kumar Singh, Ruppa K. Thulasiram, Parimala Thulasiraman. 809-810 [doi]
- A simple strategy to maintain diversity and reduce crowding in particle swarm optimizationStephen Chen, James Montgomery. 811-812 [doi]
- Automatic synthesis of MEMS devices using self-adaptive hybrid metaheuristicsCem Celal Tutum, Zhun Fan. 813-814 [doi]
- Privacy-preserving approach to bayesian network structure learning from distributed dataOlivier Regnier-Coudert, John A. W. McCall. 815-816 [doi]
- Online adaptation of locomotion with evolutionary algorithms: a transferability-based approachSylvain Koos, Jean-Baptiste Mouret. 817-818 [doi]
- Fitness function evaluation for MA trading strategies based on genetic algorithmsJosé Pinto, Rui Ferreira Neves, Nuno Horta. 819-820 [doi]
- Bayesian networks learning for strategies in artificial lifeLisa Jing Yan, Nick Cercone. 821-822 [doi]
- Acceleration experiment of genetic computations for sudoku solution on multi-core processorsMikiko Sato, Yuji Sato, Mitaro Namiki. 823-824 [doi]
- Improving energy efficiency based on behavioral model in a swarm of cooperative foraging robotsJong-Hyun Lee, Chang Wook Ahn. 825-826 [doi]
- Optimal OpAmp sizing based on a fuzzy-genetic kernelPedro Sousa, Carla Duarte, Manuel F. M. Barros, Jorge Guilherme, Nuno Horta. 827-828 [doi]
- How many dimensions in co-optimizationWojciech Jaskowski, Krzysztof Krawiec. 829-830 [doi]
- Machine learning for drug design, molecular machines and evolvable artificial cellsFilippo Caschera, Martin Hanczyc, Steen Rasmussen. 831-832 [doi]
- Genetic algorithm with genetic engineering technology for multi-objective dynamic job shop scheduling problemsTodor Dimitrov, Michael Baumann. 833-834 [doi]
- Towards the efficient evolution of particle-based computation in cellular automataDavid Iclanzan, Péter István Fülöp, Camelia Chira, Anca Gog. 835-836 [doi]
- PSO-GPU: accelerating particle swarm optimization in CUDA-based graphics processing unitsDaniel Leal Souza, Glauber Duarte Monteiro, Tiago Carvalho Martins, Victor Alexandrovich Dmitriev, Otávio Noura Teixeira. 837-838 [doi]
- Introduction to genetic algorithmsErik D. Goodman. 839-860 [doi]
- Evolution strategies: basic introductionThomas Bäck. 875-898 [doi]
- Evolutionary computation: a unified approachKenneth De Jong. 899-912 [doi]
- Probabilistic model-building genetic algorithmsMartin Pelikan. 913-940 [doi]
- Learning classifier systemsMartin V. Butz. 941-962 [doi]
- Ant colony optimizationChristian Blum. 963-990 [doi]
- CMA-ES: evolution strategies and covariance matrix adaptationNikolaus Hansen, Anne Auger. 991-1010 [doi]
- Evolving neural networksRisto Miikkulainen. 1011-1028 [doi]
- Genetic algorithm theoryJonathan E. Rowe. 1029-1052 [doi]
- Computational complexity and evolutionary computationThomas Jansen, Frank Neumann. 1053-1080 [doi]
- Evolving quantum computer algorithmsLee Spector. 1081-1110 [doi]
- Evolutionary multiobjective optimizationDimo Brockhoff. 1111-1136 [doi]
- Constraint-handling techniques used with evolutionary algorithmsCarlos Artemio Coello Coello. 1137-1160 [doi]
- (Computational) synthetic biologyNatalio Krasnogor. 1161-1190 [doi]
- Representations for evolutionary algorithmsFranz Rothlauf. 1191-1212 [doi]
- Foundations of evolutionary multi-objective optimizationTobias Friedrich, Frank Neumann. 1213-1232 [doi]
- Theory of randomized search heuristics in combinatorial optimizationCarsten Witt. 1233-1260 [doi]
- GECCO 2011 tutorial: cartesian genetic programmingJulian F. Miller, Simon L. Harding. 1261-1284 [doi]
- Large scale data mining using genetics-based machine learningJaume Bacardit, Xavier Llorà. 1285-1310 [doi]
- Automated heuristic designGabriela Ochoa, Matthew R. Hyde, Edmund K. Burke. 1321-1342 [doi]
- Evolution of digital circuitsLukás Sekanina. 1343-1360 [doi]
- Automatic and interactive tuning of algorithmsThomas Bartz-Beielstein, Mike Preuss. 1361-1380 [doi]
- Theory of swarm intelligenceDirk Sudholt. 1381-1410 [doi]
- Algorithm and experiment design with heuristiclab: an open source optimization environment for research and educationStefan Wagner 0002, Gabriel Kronberger. 1411-1438 [doi]
- Geometry of evolutionary algorithmsAlberto Moraglio. 1439-1468 [doi]
- Evolutionary games: the Darwin connectionMarco Tomassini. 1469-1480 [doi]
- Handling bloat in GPSara Silva. 1481-1508 [doi]