Abstract is missing.
- A hybrid particle swarm with velocity mutation for constraint optimization problemsMohammad Reza Bonyadi, Xiang Li, Zbigniew Michalewicz. 1-8 [doi]
- A GPU-based parallel fireworks algorithm for optimizationKe Ding, Shaoqiu Zheng, Ying Tan. 9-16 [doi]
- GESwarm: grammatical evolution for the automatic synthesis of collective behaviors in swarm roboticsEliseo Ferrante, Edgar A. Duéñez-Guzmán, Ali Emre Turgut, Tom Wenseleers. 17-24 [doi]
- Small-world particle swarm optimization with topology adaptationYue-jiao Gong, Jun Zhang. 25-32 [doi]
- Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimizationSouvik Kundu, Subhodip Biswas, Swagatam Das, Ponnuthurai N. Suganthan. 33-40 [doi]
- Synergy in ant foraging strategies: memory and communication alone and in combinationKenneth Letendre, Melanie E. Moses. 41-48 [doi]
- Combinatorial expanding neighborhood topology particle swarm optimization for the vehicle routing problem with stochastic demandsYannis Marinakis, Magdalene Marinaki. 49-56 [doi]
- Migration study on a pareto-based island model for MOACOsAntonio Miguel Mora, Pablo García-Sánchez, Juan Julián Merelo Guervós, Pedro A. Castillo. 57-64 [doi]
- Refined ranking relations for multi objective optimization andapplication to P-ACORuby L. V. Moritz, Enrico Reich, Maik Schwarz, Matthias Bernt, Martin Middendorf. 65-72 [doi]
- Improving the interpretability of classification rules discovered by an ant colony algorithmFernando E. B. Otero, Alex Alves Freitas. 73-80 [doi]
- Optimal computing budget allocation in particle swarm optimizationJuan Rada-Vilela, Mengjie Zhang, Mark Johnston. 81-88 [doi]
- A novel multimodal-problem-oriented particle swarm optimization algorithmZhigang Ren, Muyi Wang, Jie Wu. 89-96 [doi]
- Initial application of ant colony optimisation to statistical disclosure controlMartin C. Serpell, James E. Smith. 97-104 [doi]
- Particle swarm optimization with budget allocation through neighborhood rankingDimitris Souravlias, Konstantinos E. Parsopoulos. 105-112 [doi]
- Adaptive memetic particle swarm optimization with variable local search pool sizeCostas Voglis, Panagiotis E. Hadjidoukas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris. 113-120 [doi]
- Group-based ant colony optimizationGunnar Völkel, Markus Maucher, Hans A. Kestler. 121-128 [doi]
- On the effect of selection and archiving operators in many-objective particle swarm optimisationMatthaus Martin Woolard, Jonathan Edward Fieldsend. 129-136 [doi]
- PSO for feature construction and binary classificationBing Xue, Mengjie Zhang, Yan Dai, Will N. Browne. 137-144 [doi]
- An improved adaptive differential evolution algorithm with population adaptationMing Yang, Zhihua Cai, Changhe Li, Jing Guan. 145-152 [doi]
- Adaptive artificial bee colony optimizationWei jie Yu, Jun Zhang 0003, Wei-neng Chen. 153-158 [doi]
- Combining fitness-based search and user modeling in evolutionary roboticsJosh C. Bongard, Gregory S. Hornby. 159-166 [doi]
- Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encodingNick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson. 167-174 [doi]
- Behavioral repertoire learning in roboticsAntoine Cully, Jean-Baptiste Mouret. 175-182 [doi]
- A true finite-state baseline for tartarusGrant Dick. 183-190 [doi]
- Self-adapting fitness evaluation times for on-line evolution of simulated robotsCristian M. Dinu, Plamen Dimitrov, Berend Weel, A. E. Eiben. 191-198 [doi]
- Generic behaviour similarity measures for evolutionary swarm roboticsJorge C. Gomes, Anders Lyhne Christensen. 199-206 [doi]
- Right on the MONEE: combining task- and environment-driven evolutionEvert Haasdijk, Berend Weel, A. E. Eiben. 207-214 [doi]
- Effective diversity maintenance in deceptive domainsJoel Lehman, Kenneth O. Stanley, Risto Miikkulainen. 215-222 [doi]
- A coevolutionary approach to learn animal behavior through controlled interactionWei Li, Melvin Gauci, Roderich Gross. 223-230 [doi]
- Long-term evolutionary dynamics in heterogeneous cellular automataDavid Medernach, Taras Kowaliw, Conor Ryan, René Doursat. 231-238 [doi]
- Evolution of station keeping as a response to flows in an aquatic robotJared M. Moore, Anthony J. Clark, Philip K. McKinley. 239-246 [doi]
- Critical interplay between density-dependent predation and evolution of the selfish herdRandal S. Olson, David B. Knoester, Christoph Adami. 247-254 [doi]
- Confronting the challenge of learning a flexible neural controller for a diversity of morphologiesSebastian Risi, Kenneth O. Stanley. 255-262 [doi]
- Ribosomal robots: evolved designs inspired by protein foldingSebastian Risi, Daniel Cellucci, Hod Lipson. 263-270 [doi]
- Inferring large scale genetic networks with S-system modelAhsan Raja Chowdhury, Madhu Chetty, Nguyen Xuan Vinh. 271-278 [doi]
- mDBN: motif based learning of gene regulatory networks using dynamic bayesian networksNizamul Morshed, Madhu Chetty, Nguyen Xuan Vinh, Terry Caelli. 279-286 [doi]
- Off-lattice protein structure prediction with homologous crossoverBrian S. Olson, Kenneth A. De Jong, Amarda Shehu. 287-294 [doi]
- Subset-based ant colony optimisation for the discovery of gene-gene interactions in genome wide association studiesEmmanuel Sapin, Ed Keedwell, Timothy M. Frayling. 295-302 [doi]
- Particularities of evolutionary parameter estimation in multi-stage compartmental models of thymocyte dynamicsDaniela Zaharie, Lavinia Moatar-Moleriu, Viorel Negru. 303-310 [doi]
- Aesthetic selection and the stochastic basis of art, design and interactive evolutionary computationAlan Dorin. 311-318 [doi]
- Evolving structures for electronic dance musicArne Eigenfeldt, Philippe Pasquier. 319-326 [doi]
- Trace selection for interactive evolutionary algorithmsJonathan Eisenmann, Matthew Lewis, Rick Parent. 327-334 [doi]
- Open-ended behavioral complexity for evolved virtual creaturesDan Lessin, Don Fussell, Risto Miikkulainen. 335-342 [doi]
- Enhancements to constrained novelty search: two-population novelty search for generating game contentAntonios Liapis, Georgios N. Yannakakis, Julian Togelius. 343-350 [doi]
- Rolling horizon evolution versus tree search for navigation in single-player real-time gamesDiego Perez, Spyridon Samothrakis, Simon M. Lucas, Philipp Rohlfshagen. 351-358 [doi]
- More concise and robust linkage learning by filtering and combining linkage hierarchiesPeter A. N. Bosman, Dirk Thierens. 359-366 [doi]
- Effects of discrete hill climbing on model building forestimation of distribution algorithmsWei-Ming Chen, Chu-Yu Hsu, Tian-Li Yu, Wei-Che Chien. 367-374 [doi]
- A niching scheme for EDAs to reduce spurious dependenciesPo-Chun Hsu, Tian-Li Yu. 375-382 [doi]
- Towards large scale continuous EDA: a random matrix theory perspectiveAta Kaban, Jakramate Bootkrajang, Robert John Durrant. 383-390 [doi]
- A bayesian approach for constrained multi-agent minimum time search in uncertain dynamic domainsPablo Lanillos, Javier Yañez-Zuluaga, José Jaime Ruz, Eva Besada-Portas. 391-398 [doi]
- Geometric-based sampling for permutation optimizationOlivier Regnier-Coudert, John A. W. McCall, Mayowa Ayodele. 399-406 [doi]
- Design of test problems for discrete estimation of distribution algorithmsShih-Ming Wang, Jie-Wei Wu, Wei-Ming Chen, Tian-Li Yu. 407-414 [doi]
- A median success rule for non-elitist evolution strategies: study of feasibilityOuassim Ait Elhara, Anne Auger, Nikolaus Hansen. 415-422 [doi]
- On the behaviour of the (1, λ)-es for a conically constrained problemDirk V. Arnold. 423-430 [doi]
- A natural evolution strategy with asynchronous strategy updatesTobias Glasmachers. 431-438 [doi]
- Intensive surrogate model exploitation in self-adaptive surrogate-assisted cma-es (saacm-es)Ilya Loshchilov, Marc Schoenauer, Michèle Sebag. 439-446 [doi]
- An evolution strategy assisted by an ensemble of local Gaussian process modelsJianfeng Lu, Bin Li, Yaochu Jin. 447-454 [doi]
- Asynchronous differential evolution with adaptive correlation matrixMikhail Zhabitsky, Evgeniya Zhabitskaya. 455-462 [doi]
- Evolutionary algorithm for the k-interconnected multi-depot multi-traveling salesmen problemCarlos E. Andrade, Flávio Keidi Miyazawa, Mauricio G. C. Resende. 463-470 [doi]
- On set-based local search for multiobjective combinatorial optimizationMatthieu Basseur, Adrien Goëffon, Arnaud Liefooghe, Sébastien Vérel. 471-478 [doi]
- Hill-climbing strategies on various landscapes: an empirical comparisonMatthieu Basseur, Adrien Goëffon. 479-486 [doi]
- An effective heuristic for the smallest grammar problemFlorian Benz, Timo Kötzing. 487-494 [doi]
- An analytical investigation of block-based mutation operators for order-based stochastic clique covering algorithmsDavid Chalupa. 495-502 [doi]
- Second order partial derivatives for NK-landscapesWenxiang Chen, Darrell Whitley, Doug Hains, Adele E. Howe. 503-510 [doi]
- MuACOsm: a new mutation-based ant colony optimization algorithm for learning finite-state machinesDaniil Chivilikhin, Vladimir Ulyantsev. 511-518 [doi]
- The generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisationDogan Corus, Per Kristian Lehre, Frank Neumann. 519-526 [doi]
- Cartesian product of scalarization functions for many-objective QAP instances with correlated flow matrices: cartesian product of scalarization functionsMadalina M. Drugan. 527-534 [doi]
- An evolutionary multi-agent system for database query optimizationFrederico A. C. A. Gonçalves, Frederico G. Guimarães, Marcone J. F. Souza. 535-542 [doi]
- The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete dataJulie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens. 543-550 [doi]
- Ordered racing protocols for automatically configuring algorithms for scaling performanceJames Styles, Holger Hoos. 551-558 [doi]
- A memetic algorithm for the multi-objective flexible job shop scheduling problemYuan Yuan, Hua Xu. 559-566 [doi]
- Which algorithm should i choose at any point of the search: an evolutionary portfolio approachShiu Yin Yuen, Chi Kin Chow, Xin Zhang 0014. 567-574 [doi]
- Parameterized average-case complexity of the hypervolume indicatorKarl Bringmann, Tobias Friedrich. 575-582 [doi]
- Iterated multi-swarm: a multi-swarm algorithm based on archiving methodsAndre B. de Britto, Sanaz Mostaghim, Aurora Pozo. 583-590 [doi]
- Many-objective optimization using differential evolution with variable-wise mutation restrictionRoman Denysiuk, Lino A. Costa, Isabel A. Espírito-Santo. 591-598 [doi]
- Attempt to reduce the computational complexity in multi-objective differential evolution algorithmsMartin Drozdik, Hernán E. Aguirre, Kiyoshi Tanaka. 599-606 [doi]
- Edges of mutually non-dominating setsRichard M. Everson, David J. Walker, Jonathan E. Fieldsend. 607-614 [doi]
- Generalizing the improved run-time complexity algorithm for non-dominated sortingFélix-Antoine Fortin, Simon Grenier, Marc Parizeau. 615-622 [doi]
- Revisiting the NSGA-II crowding-distance computationFélix-Antoine Fortin, Marc Parizeau. 623-630 [doi]
- A hybrid evolutionary approach with search strategy adaptation for mutiobjective optimizationAhmed Kafafy, Stéphane Bonnevay, Ahmed Bounekkar. 631-638 [doi]
- Evolutionary multi-objective optimization to attain practically desirable solutionsNatsuki Kusuno, Hernán E. Aguirre, Kiyoshi Tanaka, Masataka Koishi. 639-646 [doi]
- Two-stage non-dominated sorting and directed mating for solving problems with multi-objectives and constraintsMinami Miyakawa, Keiki Takadama, Hiroyuki Sato. 647-654 [doi]
- A comparison of different algorithms for the calculation of dominated hypervolumesChristopher Priester, Kaname Narukawa, Tobias Rodemann. 655-662 [doi]
- MOEA/D for traffic grooming in WDM optical networksAlvaro Rubio-Largo, Qingfu Zhang, Miguel A. Vega-Rodríguez. 663-670 [doi]
- Many-hard-objective optimization using differential evolution based on two-stage constraint-handlingKiyoharu Tagawa, Akihiro Imamura. 671-678 [doi]
- Multi-objective optimization with surrogate treesDenny Verbeeck, Francis Maes, Kurt De Grave, Hendrik Blockeel. 679-686 [doi]
- A fast approximation-guided evolutionary multi-objective algorithmMarkus Wagner 0007, Frank Neumann. 687-694 [doi]
- On finding well-spread pareto optimal solutions by preference-inspired co-evolutionary algorithmRui Wang, Robin C. Purshouse, Peter J. Fleming. 695-702 [doi]
- Neuroevolution results in emergence of short-term memory in multi-goal environmentKonstantin Lakhman, Mikhail Burtsev. 703-710 [doi]
- Neuroannealing: martingale optimization for neural networksAlan J. Lockett, Risto Miikkulainen. 711-718 [doi]
- Single-unit pattern generators for quadruped locomotionGregory Morse, Sebastian Risi, Charles R. Snyder, Kenneth O. Stanley. 719-726 [doi]
- Gene networks have a predictive long-term fitnessMichael E. Palmer. 727-734 [doi]
- Evolving multimodal controllers with HyperNEATJustin K. Pugh, Kenneth O. Stanley. 735-742 [doi]
- Heterochronic scaling of developmental durations in evolved soft robotsJohn Rieffel. 743-750 [doi]
- A hox gene inspired generative approach to evolving robot morphologyEivind Samuelsen, Kyrre Glette, Jim Torresen. 751-758 [doi]
- Critical factors in the performance of hyperNEATThomas G. van den Berg, Shimon Whiteson. 759-766 [doi]
- On learning to generate wind farm layoutsDennis Wilson, Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly. 767-774 [doi]
- Lessons from the black-box: fast crossover-based genetic algorithmsBenjamin Doerr, Carola Doerr, Franziska Ebel. 781-788 [doi]
- Constructing low star discrepancy point sets with genetic algorithmsCarola Doerr, François-Michel De Rainville. 789-796 [doi]
- Hybridizing evolutionary algorithms with opportunistic local searchChristian Gießen. 797-804 [doi]
- Hyperplane initialized local search for MAXSATDoug Hains, Darrell Whitley, Adele E. Howe, Wenxiang Chen. 805-812 [doi]
- A multiset genetic algorithm for the optimization of deceptive problemsAntónio Manuel Rodrigues Manso, Luís Miguel Parreira Correia. 813-820 [doi]
- The influence of linkage-learning in the linkage-tree GA when solving multidimensional knapsack problemsJean Paulo Martins, Alexandre Cláudio Botazzo Delbem. 821-828 [doi]
- Improving evolutionary solutions to the game of mastermind using an entropy-based scoring methodJuan Julián Merelo Guervós, Pedro A. Castillo, Antonio Mora García, Anna Isabel Esparcia-Alcázar. 829-836 [doi]
- Analysis of diversity mechanisms for optimisation in dynamic environments with low frequencies of changePietro S. Oliveto, Christine Zarges. 837-844 [doi]
- A variance decomposition approach to the analysis of genetic algorithmsTiago Paixão, Nick Barton. 845-852 [doi]
- On the usefulness of linkage processing for solving MAX-SATKrzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens. 853-860 [doi]
- pEvoSAT: a novel permutation based genetic algorithm for solving the boolean satisfiability problemBoris Shabash, Kay C. Wiese. 861-868 [doi]
- Extended virtual loser genetic algorithm for the dynamic traveling salesman problemAnabela Simões, Ernesto Costa. 869-876 [doi]
- Hierarchical problem solving with the linkage tree genetic algorithmDirk Thierens, Peter A. N. Bosman. 877-884 [doi]
- Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus ageAaron Atwater, Malcolm I. Heywood. 885-892 [doi]
- Automatic inference of hierarchical graph models using genetic programming with an application to cortical networksAlexander Bailey, Beatrice M. Ombuki-Berman, Mario Ventresca. 893-900 [doi]
- Efficient indexing of similarity models with inequality symbolic regressionTomás Bartos, Tomás Skopal, Juraj Mosko. 901-908 [doi]
- An effective parse tree representation for tartarusGrant Dick. 909-916 [doi]
- Genetic programming for edge detection using multivariate densityWenlong Fu, Mark Johnston, Mengjie Zhang. 917-924 [doi]
- An efficient distance metric for linear genetic programmingMarco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda. 925-932 [doi]
- Length bias and search limitations in cartesian genetic programmingBrian W. Goldman, William F. Punch. 933-940 [doi]
- Approximating geometric crossover by semantic backpropagationKrzysztof Krawiec, Tomasz Pawlak. 941-948 [doi]
- Pattern-guided genetic programmingKrzysztof Krawiec, Jerry Swan. 949-956 [doi]
- Self-adaptive mate choice for cluster geometry optimizationAntónio Leitão, Penousal Machado. 957-964 [doi]
- Genetic programming with genetic regulatory networks: genetic programmingRui L. Lopes, Ernesto Costa. 965-972 [doi]
- GEARNet: grammatical evolution with artificial regulatory networksRui L. Lopes, Ernesto Costa. 973-980 [doi]
- Accelerating convergence in cartesian genetic programming by using a new genetic operatorAndreas Meier, Mark Gonter, Rudolf Kruse. 981-988 [doi]
- Runtime analysis of mutation-based geometric semantic genetic programming for basis functions regressionAlberto Moraglio, Andrea Mambrini. 989-996 [doi]
- Structural difficulty in grammatical evolution versus genetic programmingAnn Thorhauer, Franz Rothlauf. 997-1004 [doi]
- Cartesian genetic programming encoded artificial neural networks: a comparison using three benchmarksAndrew James Turner, Julian Francis Miller. 1005-1012 [doi]
- Running programs backwards: instruction inversion for effective search in semantic spacesBartosz Wieloch, Krzysztof Krawiec. 1013-1020 [doi]
- Prioritized grammar enumeration: symbolic regression by dynamic programmingTony Worm, Kenneth Chiu. 1021-1028 [doi]
- Comparing multi-objective and threshold-moving ROC curve generation for a prototype-based classifierRicardo Aler, Julia Handl, Joshua D. Knowles. 1029-1036 [doi]
- Evolving artificial neural networks for nonlinear feature constructionTobias Berka, Helmut A. Mayer. 1037-1044 [doi]
- Extending learning classifier system with cyclic graphs for scalability on complex, large-scale boolean problemsMuhammad Iqbal 0001, Will N. Browne, Mengjie Zhang. 1045-1052 [doi]
- An analysis of a spatial EA parallel boosting algorithmUday Kamath, Carlotta Domeniconi, Kenneth A. De Jong. 1053-1060 [doi]
- Evolving large-scale neural networks for vision-based reinforcement learningJan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez. 1061-1068 [doi]
- Analysis of the niche genetic algorithm in learning classifier systemsTim Kovacs, Robin Tindale. 1069-1076 [doi]
- Networks of transform-based evolvable features for object recognitionTaras Kowaliw, Wolfgang Banzhaf, René Doursat. 1077-1084 [doi]
- Selection strategy for XCS with adaptive action mappingMasaya Nakata, Pier Luca Lanzi, Keiki Takadama. 1085-1092 [doi]
- Searching for novel clustering programsEnrique Naredo, Leonardo Trujillo. 1093-1100 [doi]
- An evolutionary data-conscious artificial immune recognition systemDarwin Tay, Chueh-Loo Poh, Richard Kitney. 1101-1108 [doi]
- Self organizing classifiers and niched fitnessDanilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata. 1109-1116 [doi]
- Learning regression ensembles with genetic programming at scaleKalyan Veeramachaneni, Owen Derby, Dylan Sherry, Una-May O'Reilly. 1117-1124 [doi]
- Solving satisfiability in fuzzy logics by mixing CMA-ESTim Brys, Madalina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé. 1125-1132 [doi]
- Using representative strategies for finding nash equilibriaChih-Yuan Chou, Tian-Li Yu. 1133-1140 [doi]
- Improving coevolution by random samplingWojciech Jaskowski, Pawel Liskowski, Marcin Grzegorz Szubert, Krzysztof Krawiec. 1141-1148 [doi]
- Shaping fitness function for evolutionary learning of game strategiesMarcin Grzegorz Szubert, Wojciech Jaskowski, Pawel Liskowski, Krzysztof Krawiec. 1149-1156 [doi]
- A parallel evolutionary approach to solve the relay node placement problem in wireless sensor networksJosé Manuel Lanza-Gutiérrez, Juan Antonio Gómez Pulido, Miguel A. Vega-Rodríguez, Juan Manuel Sánchez-Pérez. 1157-1164 [doi]
- Accelerating population-based search heuristics by adaptive resource allocationJoachim Lepping, Panayotis Mertikopoulos, Denis Trystram. 1165-1172 [doi]
- The asynchronous island model and NSGA-II: study of a new migration operator and its performanceMarcus Märtens, Dario Izzo. 1173-1180 [doi]
- A parallel memetic algorithm on GPU to solve the task scheduling problem in heterogeneous environmentsSayyed Ali Mirsoleimani, Ali Karami, Farshad Khunjush. 1181-1188 [doi]
- ParadisEO-MO-GPU: a framework for parallel GPU-based local search metaheuristicsNouredine Melab, Thé Van Luong, Karima Boufaras, El-Ghazali Talbi. 1189-1196 [doi]
- Speeding up model building for ECGA on CUDA platformChung-Yu Shao, Tian-Li Yu. 1197-1204 [doi]
- A novel movable partitions approach with neural networks and evolutionary algorithms for solving the hydroelectric unit commitment problemPedro de Lima Abrão, Elizabeth Fialho Wanner, Paulo Eduardo Maciel de Almeida. 1205-1212 [doi]
- Searching for the minimum failures that can cause a hazard in a wireless sensor networkIain Bate, Mark Louis Fairbairn. 1213-1220 [doi]
- Evolutionary multiobjective optimization for selecting members of an ensemble streamflow forecasting modelDarwin Brochero, Christian Gagné, François Anctil. 1221-1228 [doi]
- Human action recognition optimization based on evolutionary feature subset selectionAlexandros André Chaaraoui, Francisco Flórez-Revuelta. 1229-1236 [doi]
- Self-adjusting focus of attention by means of GP for improving a laser point detection systemEddie Clemente, Francisco Chavez, León Dozal, Francisco Fernández de Vega, Gustavo Olague. 1237-1244 [doi]
- Multi-user detection in multi-carrier CDMA wireless broadband system using a binary adaptive differential evolution algorithmSwagatam Das, Rohan Mukherjee, Rupam Kundu, Thanos Vasilakos. 1245-1252 [doi]
- Automatic string replace by examplesAndrea De Lorenzo, Eric Medvet, Alberto Bartoli. 1253-1260 [doi]
- Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturingKaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Tian Xiang Cai, Chin Soon Chong. 1261-1268 [doi]
- Stochastic volatility modeling with computational intelligence particle filtersAyub Hanif, Robert Elliott Smith. 1269-1276 [doi]
- Evolutionary path generation for reduction of thermal variations in thermal spray coatingDaniel Hegels, Heinrich Müller. 1277-1284 [doi]
- Estimating MLC NAND flash endurance: a genetic programming based symbolic regression applicationDamien Hogan, Tom Arbuckle, Conor Ryan. 1285-1292 [doi]
- Controlling tensegrity robots through evolutionAtil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer. 1293-1300 [doi]
- Search for a grand tour of the jupiter galilean moonsDario Izzo, Luís F. Simões, Marcus Märtens, Guido C. H. E. de Croon, Aurelie Heritier, Chit Hong Yam. 1301-1308 [doi]
- Pipe smoothing genetic algorithm for least cost water distribution network designMatthew Barrie Johns, Edward Keedwell, Dragan A. Savic. 1309-1316 [doi]
- Cluster energy optimizing genetic algorithmVera A. Kazakova, Annie S. Wu, Talat S. Rahman. 1317-1324 [doi]
- A hybrid genetic approach for stereo matchingEliyahu Kiperwasser, Omid David, Nathan S. Netanyahu. 1325-1332 [doi]
- Optimization of a supersonic airfoil using the multi-objective alliance algorithmValerio Lattarulo, Pranay Seshadri, Geoffrey T. Parks. 1333-1340 [doi]
- On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking studyAlexander Loginov, Malcolm I. Heywood. 1341-1348 [doi]
- Vehicular mobility model optimization using cooperative coevolutionary genetic algorithmsSune S. Nielsen, Grégoire Danoy, Pascal Bouvry. 1349-1356 [doi]
- Hybrid POMDP based evolutionary adaptive framework for efficient visual tracking algorithmsYan Shen, Sarang Khim, Won Jun Sung, Sungjin Hong, Phill-Kyu Rhee. 1357-1364 [doi]
- Minimising longest path length in communication satellite payloads via metaheuristicsApostolos Stathakis, Grégoire Danoy, Julien Schleich, Pascal Bouvry, Gianluigi Morelli. 1365-1372 [doi]
- Red Swarm: smart mobility in cities with EASDaniel H. Stolfi, Enrique Alba. 1373-1380 [doi]
- Fast and effective multi-objective optimisation of wind turbine placementRaymond Tran, Junhua Wu, Christopher Denison, Thomas Ackling, Markus Wagner 0007, Frank Neumann. 1381-1388 [doi]
- Differential evolution based human body pose estimation from point cloudsRoberto Ugolotti, Stefano Cagnoni. 1389-1396 [doi]
- A multi-objective approach to evolving platooning strategies in intelligent transportation systemsWillem H. van Willigen, Evert Haasdijk, Leon J. H. M. Kester. 1397-1404 [doi]
- MOEA/D assisted by rbf networks for expensive multi-objective optimization problemsSaúl Zapotecas Martínez, Carlos A. Coello Coello. 1405-1412 [doi]
- A grammatical evolution approach for software effort estimationRodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago S. da Silva, André C. P. L. F. Carvalho. 1413-1420 [doi]
- Testing of precision agricultural networks for adversary-induced problemsKarel P. Bergmann, Jörg Denzinger. 1421-1428 [doi]
- Cost-aware pareto optimal test suite minimisation for service-centric systemsMustafa Bozkurt. 1429-1436 [doi]
- Test suite generation with memetic algorithmsGordon Fraser, Andrea Arcuri, Phil McMinn. 1437-1444 [doi]
- A theoretical runtime and empirical analysis of different alternating variable searches for search-based testingJoseph Kempka, Phil McMinn, Dirk Sudholt. 1445-1452 [doi]
- Search-based model mergingMarouane Kessentini, Wafa Werda, Philip Langer, Manuel Wimmer. 1453-1460 [doi]
- The use of development history in software refactoring using a multi-objective evolutionary algorithmAli Ouni, Marouane Kessentini, Houari A. Sahraoui, Mohamed Salah Hamdi. 1461-1468 [doi]
- A scenario-based robust model for the next release problemMatheus Paixão, Jerffeson Souza. 1469-1476 [doi]
- The optimisation of stochastic grammars to enable cost-effective probabilistic structural testingSimon M. Poulding, Robert Alexander, John A. Clark, Mark J. Hadley. 1477-1484 [doi]
- A comparison of two memetic algorithms for software class modellingJim Smith, Christopher L. Simons. 1485-1492 [doi]
- Minimizing test suites in software product lines using weight-based genetic algorithmsShuai Wang, Shaukat Ali, Arnaud Gotlieb. 1493-1500 [doi]
- Entropy-based adaptive range parameter control for evolutionary algorithmsAldeida Aleti, Irene Moser. 1501-1508 [doi]
- Non stationary operator selection with island modelsCaner Candan, Adrien Goëffon, Frédéric Lardeux, Frédéric Saubion. 1509-1516 [doi]
- Sustainable cooperative coevolution with a multi-armed banditFrançois-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau. 1517-1524 [doi]
- The importance of the learning conditions in hyper-heuristicsNuno C. Lourenço, Francisco Baptista Pereira, Ernesto Costa. 1525-1532 [doi]
- Is the meta-EA a viable optimization method?Sean Luke, A. K. M. Khaled Ahsan Talukder. 1533-1540 [doi]
- Novelty and interestingness measures for design-space explorationEdgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck. 1541-1548 [doi]
- Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island modelKevin Sim, Emma Hart. 1549-1556 [doi]
- An analysis of post-selection in automatic configurationZhi Yuan, Thomas Stützle, Marco Antonio Montes de Oca, Hoong Chuin Lau, Mauro Birattari. 1557-1564 [doi]
- S-Race: a multi-objective racing algorithmTiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos. 1565-1572 [doi]
- Can quantitative and population genetics help us understand evolutionary computation?Nick Barton, Tiago Paixão. 1573-1580 [doi]
- A method to derive fixed budget results from expected optimisation timesBenjamin Doerr, Thomas Jansen, Carsten Witt, Christine Zarges. 1581-1588 [doi]
- How the (1+λ) evolutionary algorithm optimizes linear functionsBenjamin Doerr, Marvin Künnemann. 1589-1596 [doi]
- NP-completeness and the coevolution of exact set coversJeffrey Horn. 1597-1604 [doi]
- Runtime analysis of ant colony optimization on dynamic shortest path problemsAndrei Lissovoi, Carsten Witt. 1605-1612 [doi]
- Population size matters: rigorous runtime results for maximizing the hypervolume indicatorAnh Quang Nguyen, Andrew M. Sutton, Frank Neumann. 1613-1620 [doi]
- Improved runtime analysis of the simple genetic algorithmPietro Simone Oliveto, Carsten Witt. 1621-1628 [doi]
- Particle swarm optimization almost surely finds local optimaManuel Schmitt, Rolf Wanka. 1629-1636 [doi]