Abstract is missing.
- Parallel shared memory strategies for ant-based optimization algorithmsThang Nguyen Bui, ThanhVu H. Nguyen, Joseph R. Rizzo. 1-8 [doi]
- Swarming to rank for information retrievalErnesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-Thieme. 9-16 [doi]
- An evaporation mechanism for dynamic and noisy multimodal optimizationJose Luis Fernandez-Marquez, Josep LluÃs Arcos. 17-24 [doi]
- The bee colony-inspired algorithm (BCiA): a two-stage approach for solving the vehicle routing problem with time windowsSascha Häckel, Patrick Dippold. 25-32 [doi]
- Self-synchronized duty-cycling in sensor networks with energy harvesting capabilities: the static network caseHugo Hernández, Christian Blum. 33-40 [doi]
- VISPLORE: a toolkit to explore particle swarms by visual inspectionNamrata Khemka, Christian Jacob. 41-48 [doi]
- Visualizing the search process of particle swarm optimizationYong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon. 49-56 [doi]
- Particle swarm optimization based multi-prototype ensemblesAmmar W. Mohemmed, Mark Johnston, Mengjie Zhang. 57-64 [doi]
- The singly-linked ring topology for the particle swarm optimization algorithmAngel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce. 65-72 [doi]
- An ant based algorithm for task allocation in large-scale and dynamic multiagent scenariosFernando dos Santos, Ana L. C. Bazzan. 73-80 [doi]
- An ant colony optimization approach to the traveling tournament problemDavid C. Uthus, Patricia J. Riddle, Hans W. Guesgen. 81-88 [doi]
- Evolution of functional specialization in a morphologically homogeneous robotJoshua S. Auerbach, Josh C. Bongard. 89-96 [doi]
- Evolving quorum sensing in digital organismsBenjamin E. Beckmann, Philip K. McKinley. 97-104 [doi]
- Problem decomposition using indirect reciprocity in evolved populationsHeather Goldsby, Sherri Goings, Jeff Clune, Charles Ofria. 105-112 [doi]
- Sustaining diversity using behavioral information distanceFaustino J. Gomez. 113-120 [doi]
- Combined structure and motion extraction from visual data using evolutionary active learningKrishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff. 121-128 [doi]
- Learning complex robot control using evolutionary behavior based systemsYohannes Kassahun, Jakob Schwendner, Jose de Gea, Mark Edgington, Frank Kirchner. 129-136 [doi]
- Evolution of robust data distribution among digital organismsDavid B. Knoester, Andres J. Ramirez, Philip K. McKinley, Betty H. C. Cheng. 137-144 [doi]
- Neuroevolutionary reinforcement learning for generalized helicopter controlRogier Koppejan, Shimon Whiteson. 145-152 [doi]
- How novelty search escapes the deceptive trap of learning to learnSebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes, Kenneth O. Stanley. 153-160 [doi]
- Liposome logicJames Smaldon, Natalio Krasnogor, Alexander Cameron, Marian Gheorghe. 161-168 [doi]
- Novelty of behaviour as a basis for the neuro-evolution of operant reward learningAndrea Soltoggio, Ben Jones. 169-176 [doi]
- Environmental robustness in multi-agent teamsTerence Soule, Robert B. Heckendorn. 177-184 [doi]
- Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filteringJakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang. 185-192 [doi]
- Learning regulation functions of metabolic systems by artificial neural networksAlberto Castellini, Vincenzo Manca. 193-200 [doi]
- A memetic algorithm for gene selection and molecular classification of cancerBéatrice Duval, Jin-Kao Hao, Jose Crispin Hernandez Hernandez. 201-208 [doi]
- Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophilaTim Hohm, Eckart Zitzler. 209-216 [doi]
- Enhancing search space diversity in multi-objective evolutionary drug molecule design using nichingJohannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Adriaan P. IJzerman, Andreas Bender, Thomas Bäck, Eelke van der Horst. 217-224 [doi]
- Modeling evolutionary fitness for DNA motif discoverySven Rahmann, Tobias Marschall, Frank Behler, Oliver Kramer. 225-232 [doi]
- Biologically-implemented genetic algorithm for protein engineeringHiroshi Someya, Kensaku Sakamoto, Masayuki Yamamura. 233-240 [doi]
- Swarming along the evolutionary branches sheds light on genome rearrangement scenariosNikolay Vyahhi, Adrien Goëffon, Macha Nikolski, David James Sherman. 241-246 [doi]
- Improved analysis methods for crossover-based algorithmsBenjamin Doerr, Madeleine Theile. 247-254 [doi]
- Stable solving of CVRPs using hyperheuristicsPablo Garrido, Carlos Castro. 255-262 [doi]
- Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instancesMartin Gruber, Günther R. Raidl. 263-270 [doi]
- An experimental investigation of model-based parameter optimisation: SPO and beyondFrank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy. 271-278 [doi]
- Evolving heuristically difficult instances of combinatorial problemsBryant A. Julstrom. 279-286 [doi]
- A hybrid genetic algorithm for a variant of two-dimensional packing problemJin Kim, Byung Ro Moon. 287-292 [doi]
- Fixed-parameter evolutionary algorithms and the vertex cover problemStefan Kratsch, Frank Neumann. 293-300 [doi]
- Solving the sorting network problem using iterative optimization with evolved hypermutationsJirà KubalÃk. 301-308 [doi]
- Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMSTRajeev Kumar, Bipul Kumar Bal, Peter Rockett. 309-316 [doi]
- A cooperative and self-adaptive metaheuristic for the facility location problemDavid Meignan, Jean-Charles Créput, Abderrafiaa Koukam. 317-324 [doi]
- A weight-coded genetic algorithm for the capacitated arc routing problemMatthew J. W. Morgan, Christine L. Mumford. 325-332 [doi]
- Comparisons between an exact and a metaheuristic algorithm for the molecular distance geometry problemAntonio Mucherino, Leo Liberti, Carlile Lavor, Nelson Maculan. 333-340 [doi]
- Analyzing the landscape of a graph based hyper-heuristic for timetabling problemsGabriela Ochoa, Rong Qu, Edmund K. Burke. 341-348 [doi]
- Meta-heuristics for reconstructing cross cut shredded text documentsMatthias Prandtstetter, Günther R. Raidl. 349-356 [doi]
- New insights into the OCST problem: integrating node degrees and their location in the graphWolfgang Steitz, Franz Rothlauf. 357-364 [doi]
- A polynomial time computation of the exact correlation structure of k-satisfiability landscapesAndrew M. Sutton, L. Darrell Whitley, Adele E. Howe. 365-372 [doi]
- New heuristic and hybrid genetic algorithm for solving the bounded diameter minimum spanning tree problemHuynh Thi Thanh Binh, Robert I. McKay, Nguyen Xuan Hoai, Nguyen Duc Nghia. 373-380 [doi]
- Partial neighborhoods of elementary landscapesL. Darrell Whitley, Andrew M. Sutton. 381-388 [doi]
- On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAsPeter A. N. Bosman. 389-396 [doi]
- Difficulty of linkage learning in estimation of distribution algorithmsSi-Cheng Chen, Tian-Li Yu. 397-404 [doi]
- EDA-RL: estimation of distribution algorithms for reinforcement learning problemsHisashi Handa. 405-412 [doi]
- Intelligent bias of network structures in the hierarchical BOAMark Hauschild, Martin Pelikan. 413-420 [doi]
- Correlation guided model buildingDavid Iclanzan, D. Dumitrescu, Béat Hirsbrunner. 421-428 [doi]
- Initial-population bias in the univariate estimation of distribution algorithmMartin Pelikan, Kumara Sastry. 429-436 [doi]
- Effects of a deterministic hill climber on hBOAElizabeth Radetic, Martin Pelikan, David E. Goldberg. 437-444 [doi]
- Mining probabilistic models learned by EDAs in the optimization of multi-objective problemsRoberto Santana, Concha Bielza, José Antonio Lozano, Pedro Larrañaga. 445-452 [doi]
- Why one must use reweighting in estimation of distribution algorithmsFabien Teytaud, Olivier Teytaud. 453-460 [doi]
- Approximating the search distribution to the selection distribution in EDAsSergio Ivvan Valdez Peña, Arturo Hernández Aguirre, Salvador Botello Rionda. 461-468 [doi]
- Evaluation of population partitioning schemes in bayesian classifier EDAs: estimation of distribution algoithmsDavid Wallin, Conor Ryan. 469-476 [doi]
- Convergence analysis of UMDA::C:: with finite populations: a case study on flat landscapesBo Yuan, Marcus Gallagher. 477-482 [doi]
- On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functionsDirk V. Arnold, Hans-Georg Beyer, Alexander Melkozerov. 483-490 [doi]
- A novel approach to adaptive isolation in evolution strategiesDirk V. Arnold, Anthony S. Castellarin. 491-498 [doi]
- On strategy parameter control by Meta-ESHans-Georg Beyer, Martin Dobler, Christian Hämmerle, Philip Masser. 499-506 [doi]
- Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiersXueFeng Chen, Xiabi Liu, Yunde Jia. 507-514 [doi]
- Tone mapping by interactive evolutionStephen B. Chisholm, Dirk V. Arnold, Stephen Brooks. 515-522 [doi]
- Hybrid differential evolution based on fuzzy C-means clusteringWenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du. 523-530 [doi]
- Cooperative micro-differential evolution for high-dimensional problemsKonstantinos E. Parsopoulos. 531-538 [doi]
- Efficient natural evolution strategiesYi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber. 539-546 [doi]
- Space partitioning with adaptive epsilon-ranking and substitute distance assignments: a comparative study on many-objective mnk-landscapesHernán E. Aguirre, Kiyoshi Tanaka. 547-554 [doi]
- Articulating user preferences in many-objective problems by sampling the weighted hypervolumeAnne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler. 555-562 [doi]
- Investigating and exploiting the bias of the weighted hypervolume to articulate user preferencesAnne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler. 563-570 [doi]
- Multiplicative approximations and the hypervolume indicatorTobias Friedrich, Christian Horoba, Frank Neumann. 571-578 [doi]
- Comparison of similarity measures for the multi-objective vehicle routing problem with time windowsAbel Garcia-Najera, John A. Bullinaria. 579-586 [doi]
- A stopping criterion based on Kalman estimation techniques with several progress indicatorsJosé Luis Guerrero, Jesús GarcÃa, Luis MartÃ, José Manuel Molina, Antonio Berlanga. 587-594 [doi]
- Evolutionary algorithms and multi-objectivization for the travelling salesman problemMartin Jähne, Xiaodong Li, Jürgen Branke. 595-602 [doi]
- On the hybridization of SMS-EMOA and local search for continuous multiobjective optimizationPatrick Koch, Oliver Kramer, Günter Rudolph, Nicola Beume. 603-610 [doi]
- Study of preference relations in many-objective optimizationAntonio López Jaimes, Carlos A. Coello Coello. 611-618 [doi]
- Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithmLuis MartÃ, Jesús GarcÃa, Antonio Berlanga, José M. Molina. 619-626 [doi]
- Using behavioral exploration objectives to solve deceptive problems in neuro-evolutionJean-Baptiste Mouret, Stéphane Doncieux. 627-634 [doi]
- Multiobjective classification with moGEP: an application in the network traffic domainMarek Ostaszewski, Pascal Bouvry, Franciszek Seredynski. 635-642 [doi]
- A multiobjective GRASP for rule selectionAlan P. Reynolds, David W. Corne, Beatriz de la Iglesia. 643-650 [doi]
- Evolutionary continuation methods for optimization problemsOliver Schütze, Adriana Lara, Carlos A. Coello Coello. 651-658 [doi]
- Evolutionary multi-objective quantum control experiments with the covariance matrix adaptationOfer M. Shir, Jonathan Roslund, Herschel Rabitz. 659-666 [doi]
- Using a distance metric to guide PSO algorithms for many-objective optimizationUpali K. Wickramasinghe, Xiaodong Li. 667-674 [doi]
- The sensitivity of HyperNEAT to different geometric representations of a problemJeff Clune, Charles Ofria, Robert T. Pennock. 675-682 [doi]
- Facilitating evolutionary innovation by developmental modularity and variabilityRené Doursat. 683-690 [doi]
- Scalability, generalization and coevolution -- experimental comparisons applied to automated facility layout planningMarcus Furuholmen, Kyrre Harald Glette, Mats Erling Høvin, Jim Torresen. 691-698 [doi]
- Evolution, development and learning using self-modifying cartesian genetic programmingSimon Harding, Julian Francis Miller, Wolfgang Banzhaf. 699-706 [doi]
- Evolution of cartesian genetic programs capable of learningGul Muhammad Khan, Julian F. Miller. 707-714 [doi]
- The challenge of irrationality: fractal protein recipes for PIJean Krohn, Peter J. Bentley, Hooman Shayani. 715-722 [doi]
- Evolving specific network statistical properties using a gene regulatory network modelMiguel Nicolau, Marc Schoenauer. 723-730 [doi]
- Evolving symmetric and modular neural networks for distributed controlVinod K. Valsalam, Risto Miikkulainen. 731-738 [doi]
- Adaptation of expansion rate for real-coded crossoversYouhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi. 739-746 [doi]
- Adaptive terrain-based memetic algorithmsCarlos R. B. Azevedo, V. Scott Gordon. 747-754 [doi]
- Bayesian network structure learning using cooperative coevolutionOlivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin. 755-762 [doi]
- Three interconnected parameters for genetic algorithmsPedro A. Diaz-Gomez, Dean F. Hougen. 763-770 [doi]
- Evolutionary algorithms and dynamic programmingBenjamin Doerr, Anton Eremeev, Christian Horoba, Frank Neumann, Madeleine Theile. 771-778 [doi]
- Analysis of adaptive operator selection techniques on the royal road and long k-path problemsÃlvaro Fialho, Marc Schoenauer, Michèle Sebag. 779-786 [doi]
- On the significance of the permutation problem in neuroevolutionStefan Haflidason, Richard Neville. 787-794 [doi]
- Steady-state ALPS for real-valued problemsGregory S. Hornby. 795-802 [doi]
- Maximal age in randomized search heuristics with agingChristian Horoba, Thomas Jansen, Christine Zarges. 803-810 [doi]
- Cheating for problem solving: a genetic algorithm with social interactionsRafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin. 811-818 [doi]
- Improving genetic algorithms performance via deterministic population shrinkageJuan LuÃs Jiménez Laredo, Carlos Fernandes, Juan Julián Merelo Guervós, Christian Gagné. 819-826 [doi]
- Markov chain analysis of genetic algorithms in a wide variety of noisy environmentsTakéhiko Nakama. 827-834 [doi]
- Theoretical analysis of fitness-proportional selection: landscapes and efficiencyFrank Neumann, Pietro Simone Oliveto, Carsten Witt. 835-842 [doi]
- Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactionsMartin Pelikan, Helmut G. Katzgraber. 843-850 [doi]
- Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlapMartin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild. 851-858 [doi]
- Overlapped community detection in complex networksClara Pizzuti. 859-866 [doi]
- Pareto cooperative coevolutionary genetic algorithm using reference sharing collaborationMin Shi, Haifeng Wu. 867-874 [doi]
- Improving prediction in evolutionary algorithms for dynamic environmentsAnabela Simões, Ernesto Costa. 875-882 [doi]
- Prediction in evolutionary algorithms for dynamic environments using markov chains and nonlinear regressionAnabela Simões, Ernesto Costa. 883-890 [doi]
- Centric selection: a way to tune the exploration/exploitation trade-offDavid Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue. 891-898 [doi]
- Analysis of coevolution for worst-case optimizationPhilipp Stuermer, Anthony Bucci, Jürgen Branke, Pablo Funes, Elena Popovici. 899-906 [doi]
- Classification and regression-based surrogate model-assisted interactive genetic algorithm with individual s fuzzy fitnessXiaoyan Sun, Dunwei Gong, Subei Li. 907-914 [doi]
- Tunneling between optima: partition crossover for the traveling salesman problemDarrell Whitley, Doug Hains, Adele E. Howe. 915-922 [doi]
- An evolutionary algorithm with species-specific explosion for multimodal optimizationKa Chun Wong, Kwong-Sak Leung, Man Hon Wong. 923-930 [doi]
- Evolving reusable 3d packing heuristics with genetic programmingSam Allen, Edmund K. Burke, Matthew R. Hyde, Graham Kendall. 931-938 [doi]
- Animated drawings rendered by genetic programmingPerry Barile, Victor Ciesielski, Marsha Berry, Karen Trist. 939-946 [doi]
- A genetic programming approach to automated software repairStephanie Forrest, ThanhVu Nguyen, Westley Weimer, Claire Le Goues. 947-954 [doi]
- GP-rush: using genetic programming to evolve solvers for the rush hour puzzleAmi Hauptman, Achiya Elyasaf, Moshe Sipper, Assaf Karmon. 955-962 [doi]
- Neutrality and variability: two sides of evolvability in linear genetic programmingTing Hu, Wolfgang Banzhaf. 963-970 [doi]
- Evolving an autonomous agent for non-Markovian reinforcement learningJae-Yoon Jung, James A. Reggia. 971-978 [doi]
- How online simplification affects building blocks in genetic programmingDavid Kinzett, Mark Johnston, Mengjie Zhang. 979-986 [doi]
- Approximating geometric crossover in semantic spaceKrzysztof Krawiec, Pawel Lichocki. 987-994 [doi]
- Functional modularity for genetic programmingKrzysztof Krawiec, Bartosz Wieloch. 995-1002 [doi]
- Estimating the distribution and propagation of genetic programming building blocks through tree compressionRobert I. McKay, Xuan Hoai Nguyen, James R. Cheney, MinHyeok Kim, Naoki Mori, Tuan Hao Hoang. 1011-1018 [doi]
- Developmental plasticity in linear genetic programmingNicholas Freitag McPhee, Ellery Fussell Crane, Sara E. Lahr, Riccardo Poli. 1019-1026 [doi]
- Pareto front feature selection: using genetic programming to explore feature spaceKourosh Neshatian, Mengjie Zhang. 1027-1034 [doi]
- Shape grammars and grammatical evolution for evolutionary designMichael O Neill, John Mark Swafford, James McDermott, Jonathan Byrne, Anthony Brabazon, Elizabeth Shotton, Ciaran McNally, Martin Hemberg. 1035-1042 [doi]
- Genetic programming in the wild: evolving unrestricted bytecodeMichael Orlov, Moshe Sipper. 1043-1050 [doi]
- Evolutionary learning of local descriptor operators for object recognitionCynthia B. Pérez, Gustavo Olague. 1051-1058 [doi]
- Evolving stochastic processes using feature tests and genetic programmingBrian J. Ross, Janine H. Imada. 1059-1066 [doi]
- Evolution of team composition in multi-agent systemsJoshua Rubini, Robert B. Heckendorn, Terence Soule. 1067-1074 [doi]
- Evolving an edge selection formula for ant colony optimizationAndrew Runka. 1075-1082 [doi]
- Discovering a domain alphabetMichael D. Schmidt, Hod Lipson. 1083-1090 [doi]
- Incorporating expert knowledge in evolutionary search: a study of seeding methodsMichael D. Schmidt, Hod Lipson. 1091-1098 [doi]
- Genetic programming for protein related text classificationMarc Segond, Cyril Fonlupt, Denis Robilliard. 1099-1106 [doi]
- Graph structured program evolution with automatically defined nodesShinichi Shirakawa, Tomoharu Nagao. 1107-1114 [doi]
- Operator equalisation, bloat and overfitting: a study on human oral bioavailability predictionSara Silva, Leonardo Vanneschi. 1115-1122 [doi]
- Genetic programming based image segmentation with applications to biomedical object detectionTarundeep Singh, Nawwaf N. Kharma, Mohmmad Daoud, Rabab Kreidieh Ward. 1123-1130 [doi]
- Program optimization by random tree samplingMakoto Tanji, Hitoshi Iba. 1131-1138 [doi]
- Using crossover based similarity measure to improve genetic programming generalization abilityLeonardo Vanneschi, Steven Gustafson. 1139-1146 [doi]
- Binary encoding for prototype tree of probabilistic model building GPToshihiko Yanase, Yoshihiko Hasegawa, Hitoshi Iba. 1147-1154 [doi]
- A mixed discrete-continuous attribute list representation for large scale classification domainsJaume Bacardit, Natalio Krasnogor. 1155-1162 [doi]
- Unsupervised feature weighting with multi niche crowding genetic algorithmsMihaela Elena Breaban, Henri Luchian. 1163-1170 [doi]
- Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic controlMartin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph. 1171-1178 [doi]
- Evolving competitive car controllers for racing games with neuroevolutionLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. 1179-1186 [doi]
- Modeling UCS as a mixture of expertsNarayanan Unny Edakunni, Tim Kovacs, Gavin Brown, James A. R. Marshall. 1187-1194 [doi]
- Evolutionary-based learning of generalised policies for AI planning domainsJohn Levine, C. Henrik Westerberg, Michelle Galea, David Humphreys. 1195-1202 [doi]
- Integrating real-time analysis with the dendritic cell algorithm through segmentationFeng Gu, Julie Greensmith, Uwe Aickelin. 1203-1210 [doi]
- Uncertainty handling CMA-ES for reinforcement learningVerena Heidrich-Meisner, Christian Igel. 1211-1218 [doi]
- Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSFGerard David Howard, Larry Bull, Pier Luca Lanzi. 1219-1226 [doi]
- A PSO-based framework for dynamic SVM model selectionMarcelo N. Kapp, Robert Sabourin, Patrick Maupin. 1227-1234 [doi]
- Neural network ensembles for time series forecastingVictor M. Landassuri-Moreno, John A. Bullinaria. 1235-1242 [doi]
- Agglomerative genetic algorithm for clustering in social networksMarek Lipczak, Evangelos E. Milios. 1243-1250 [doi]
- Gene transposon based clonal selection algorithm for clusteringRuochen Liu, Zhengchun Sheng, Licheng Jiao. 1251-1258 [doi]
- Improving Markov chain classification using string transformations and evolutionary searchTimothy Meekhof, Terence Soule, Robert B. Heckendorn. 1259-1266 [doi]
- A population-based approach to finding the matchset of a learning classifier system efficientlyDrew Mellor, Steven P. Nicklin. 1267-1274 [doi]
- Geometrical insights into the dendritic cell algorithmThomas Stibor, Robert Oates, Graham Kendall, Jonathan M. Garibaldi. 1275-1282 [doi]
- New entropy model for extraction of structural information from XCS populationWonKyung Park, Jae C. Oh. 1283-1290 [doi]
- Free lunches for neural network searchRiccardo Poli, Mario Graff. 1291-1298 [doi]
- Discrete dynamical genetic programming in XCSRichard Preen, Larry Bull. 1299-1306 [doi]
- uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actionsJosé Abdón RamÃrez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-MarÃn. 1307-1314 [doi]
- On the scalability of XCS(F)Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà . 1315-1322 [doi]
- The multi-label OCS with a genetic algorithm for rule discovery: implementation and first resultsRosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. Carvalho. 1323-1330 [doi]
- Genotypic differences and migration policies in an island modelLourdes Araujo, Juan Julián Merelo Guervós, Antonio Mora, Carlos Cotta. 1331-1338 [doi]
- Distributed hyper-heuristics for real parameter optimizationMarco Biazzini, Balázs Bánhelyi, Alberto Montresor, Márk Jelasity. 1339-1346 [doi]
- Overcoming partitioning in large ad hoc networks using genetic algorithmsGrégoire Danoy, Bernabé Dorronsoro, Pascal Bouvry. 1347-1354 [doi]
- An island model for high-dimensional genomes using phylogenetic speciation and species barcodingPaul Grouchy, Jekanthan Thangavelautham, Gabriele M. T. D Eleuterio. 1355-1362 [doi]
- Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing clusterKenneth Holladay. 1363-1370 [doi]
- A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problemCoromoto León, Gara Miranda, Carlos Segura. 1371-1378 [doi]
- Strategies to minimise the total run time of cyclic graph based genetic programming with GPUsTony E. Lewis, George D. Magoulas. 1379-1386 [doi]
- Data-intensive computing for competent genetic algorithms: a pilot study using meandreXavier Llorà . 1387-1394 [doi]
- An asynchronous parallel implementation of a cellular genetic algorithm for combinatorial optimizationGabriel Luque, Enrique Alba, Bernabé Dorronsoro. 1395-1402 [doi]
- Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEAOgier Maitre, Laurent A. Baumes, Nicolas Lachiche, Avelino Corma, Pierre Collet. 1403-1410 [doi]
- pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptationChristian L. Müller, Benedikt Baumgartner, Georg Ofenbeck, Birte Schrader, Ivo F. Sbalzarini. 1411-1418 [doi]
- Application of evolutionary algorithms in detection of SIP based flooding attacksM. Ali Akbar, Muddassar Farooq. 1419-1426 [doi]
- Using memetic algorithms to improve portfolio performance in static and dynamic trading scenariosClaus de Castro Aranha, Hitoshi Iba. 1427-1434 [doi]
- Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systemsMarco Branca, Lorenzo Camerini, Fabrizio Ferrandi, Pier Luca Lanzi, Christian Pilato, Donatella Sciuto, Antonino Tumeo. 1435-1442 [doi]
- An extended evolution strategy for the characterization of fracture conductivities from well testsJérémie Bruyelle, Arnaud Lange. 1443-1450 [doi]
- Multi-objective optimization with an evolutionary artificial neural network for financial forecastingMatthew Butler, Ali Daniyal. 1451-1458 [doi]
- Evolutionary inference of rule-based trading agents from real-world stock price histories and their use in forecastingLouis Charbonneau, Nawwaf N. Kharma. 1459-1466 [doi]
- Bringing evolutionary computation to industrial applications with guideLuÃs Da Costa, Marc Schoenauer. 1467-1474 [doi]
- A multiobjective evolutionary algorithm for the task based sailor assignment problemDipankar Dasgupta, Fernando Niño, Deon Garrett, Koyel Chaudhuri, Soujanya Medapati, Aishwarya Kaushal, James Simien. 1475-1482 [doi]
- Simulating human grandmasters: evolution and coevolution of evaluation functionsOmid David-Tabibi, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu. 1483-1490 [doi]
- Optimizing low-discrepancy sequences with an evolutionary algorithmFrançois-Michel De Rainville, Christian Gagné, Olivier Teytaud, Denis Laurendeau. 1491-1498 [doi]
- A multi-objective approach to data sharing with privacy constraints and preference based objectivesRinku Dewri, Darrell Whitley, Indrajit Ray, Indrakshi Ray. 1499-1506 [doi]
- Generative relations for evolutionary equilibria detectionD. Dumitrescu, Rodica Ioana Lung, Tudor Dan Mihoc. 1507-1512 [doi]
- Robustness of multiple objective GP stock-picking in unstable financial markets: real-world applications trackGhada Hassan, Christopher D. Clack. 1513-1520 [doi]
- Multi material topological optimization of structures and mechanismsJonathan D. Hiller, Hod Lipson. 1521-1528 [doi]
- Optimization of the trading rule in foreign exchange using genetic algorithmAkinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba. 1529-1536 [doi]
- Evolutionary optimization of multistage interconnection networks performanceJirà Jaros. 1537-1544 [doi]
- A highly configurable test system for evolutionary black-box testing of embedded systemsPeter M. Kruse, Joachim Wegener, Stefan Wappler. 1545-1552 [doi]
- IMAD: in-execution malware analysis and detectionSyed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq. 1553-1560 [doi]
- Tracking multiple objects in non-stationary videoHoang Nguyen, Bir Bhanu. 1561-1568 [doi]
- Evolvable malwareSadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Muddassar Farooq. 1569-1576 [doi]
- Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanismsJohn C. Oliva, Erik D. Goodman. 1577-1584 [doi]
- A genetic algorithm for analyzing choice behavior with mixed decision strategiesJella Pfeiffer, Dejan Duzevik, Franz Rothlauf, Koichi Yamamoto. 1585-1592 [doi]
- Genetic programming methodology that synthesize vegetation indices for the estimation of soil coverCesar Puente, Gustavo Olague, Stephen V. Smith, Stephen H. Bullock, Miguel A. González-Botello, Alejandro Hinojosa-Corona. 1593-1600 [doi]
- Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systemsJosé Luis Risco-MartÃn, José Ignacio Hidalgo, David Atienza, Juan Lanchares, Oscar Garnica. 1601-1608 [doi]
- Optimization of dynamic memory managers for embedded systems using grammatical evolutionJosé L. Risco-MartÃn, David Atienza, Rubén Gonzalo, José Ignacio Hidalgo. 1609-1616 [doi]
- A hybrid GA-PSO fuzzy system for user identification on smart phonesMuhammad Shahzad, Saira Zahid, Muddassar Farooq. 1617-1624 [doi]
- A genetic approach to statistical disclosure controlJim E. Smith, Alistair R. Clark, Andrea T. Staggemeier. 1625-1632 [doi]
- Soft memory for stock market analysis using linear and developmental genetic programmingGarnett Carl Wilson, Wolfgang Banzhaf. 1633-1640 [doi]
- Behavioural GP diversity for adaptive stock selectionWei Yan, Christopher D. Clack. 1641-1648 [doi]
- Insight knowledge in search based software testingAndrea Arcuri. 1649-1656 [doi]
- MC/DC automatic test input data generationZeina Awedikian, Kamel Ayari, Giuliano Antoniol. 1657-1664 [doi]
- Dealing with inheritance in OO evolutionary testingJavier Ferrer, J. Francisco Chicano, Enrique Alba. 1665-1672 [doi]
- Software project planning for robustness and completion time in the presence of uncertainty using multi objective search based software engineeringStefan Gueorguiev, Mark Harman, Giuliano Antoniol. 1673-1680 [doi]
- Search based data sensitivity analysis applied to requirement engineeringMark Harman, Jens Krinke, Jian Ren, Shin Yoo. 1681-1688 [doi]
- Search-based failure discovery using testability transformations to generate pseudo-oraclesPhil McMinn. 1689-1696 [doi]
- Using automated search to generate test data for matlabSion Ll Rhys, Simon M. Poulding, John A. Clark. 1697-1704 [doi]
- Geometric differential evolutionAlberto Moraglio, Julian Togelius. 1705-1712 [doi]
- Dynamic evolutionary optimisation: an analysis of frequency and magnitude of changePhilipp Rohlfshagen, Per Kristian Lehre, Xin Yao. 1713-1720 [doi]
- Free lunches in pareto coevolutionTravis C. Service, Daniel R. Tauritz. 1721-1728 [doi]
- On the performance effects of unbiased module encapsulationR. Paul Wiegand, Gautham Anil, Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu. 1729-1736 [doi]
- Limiting the velocity in particle swarm optimization using a geometric seriesJulio Barrera, Carlos A. Coello Coello. 1739-1740 [doi]
- Apply ant colony optimization to TetrisXingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao. 1741-1742 [doi]
- Particle swarm optimization in the presence of multiple global optimaSunny Choi, Blayne E. Mayfield. 1743-1744 [doi]
- Dynamic particle swarm optimization via ring topologiesFrank Jones, Terence Soule. 1745-1746 [doi]
- Building with the beeoids: guided automatic construction using pheromonesTyson Kendon, Kate Chatfield-Reed, Christian Jacob. 1747-1748 [doi]
- Particle swarm optimization with an oscillating inertia weightKyriakos Kentzoglanakis, Matthew Poole. 1749-1750 [doi]
- Particle swarm optimization with oscillation controlJavier H. López, Laura Lanzarini, Armando De Giusti. 1751-1752 [doi]
- A particle swarm optimization approach for substance identificationNabila Nouaouria, Mounir Boukadoum. 1753-1754 [doi]
- Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical studyNikhil Padhye. 1755-1756 [doi]
- Cryptanalysis of four-rounded DES using binary particle swarm optimizationWaseem Shahzad, Abdul Basit Siddiqui, Farrukh Aslam Khan. 1757-1758 [doi]
- Simplex-based particles swarm optimizerHongfeng Xiao, Guanzheng Tan. 1759-1760 [doi]
- Particle swarm optimization with information share mechanismZhi-hui Zhan, Jun Zhang, Rui-zhang Huang. 1761-1762 [doi]
- Orthogonal learning particle swarm optimizationZhi-hui Zhan, Jun Zhang, Ou Liu. 1763-1764 [doi]
- Ant colony system based on receding horizon control for aircraft arrival sequencing and schedulingZhi-hui Zhan, Jun Zhang, Yue-jiao Gong. 1765-1766 [doi]
- On the characteristics of sequential decision problems and their impact on evolutionary computationAndré da Motta Salles Barreto, Douglas A. Augusto, Helio J. C. Barbosa. 1767-1768 [doi]
- The impact of jointly evolving robot morphology and control on adaptation rateJosh C. Bongard. 1769-1770 [doi]
- Single step evolution of robot controllers for sequential tasksStéphane Doncieux, Jean-Baptiste Mouret. 1771-1772 [doi]
- Using action abstraction to evolve effective controllersBrent E. Eskridge, Dean F. Hougen. 1773-1774 [doi]
- Evolved neural fields applied to the stability problem of a simple biped walking modelJuan J. Figueredo, Jonatan Gómez. 1775-1776 [doi]
- Evaluating the evolvability of emergent agents with different numbers of statesMarcus Komann, Dietmar Fey. 1777-1778 [doi]
- FUGA: a fuzzy-genetic analog circuit optimization kernelPedro Sousa, Carla Duarte, Nuno Horta. 1779-1780 [doi]
- Visualising random boolean network dynamicsSusan Stepney. 1781-1782 [doi]
- Multiple sequence alignment using evolutionary algorithmsEdgar David Arenas-DÃaz, Helga Ochoterena-Booth, Katya RodrÃguez-Vázquez. 1783-1784 [doi]
- Environmental noise improves epistasis models of genetic data discovered using a computational evolution systemCasey S. Greene, Douglas P. Hill, Jason H. Moore. 1785-1786 [doi]
- Computer simulation on the maternal effect dominant embryonic arrest (MEDEA) for disease vector population replacementMauricio Guevara, Edgar E. Vallejo. 1787-1788 [doi]
- Creating regular expressions as mRNA motifs with GP to predict human exon splittingWilliam B. Langdon, Joanna Rowsell, Andrew P. Harrison. 1789-1790 [doi]
- Parallel particle swarm optimization applied to the protein folding problemLuis Germán Pérez-Hernández, Katya RodrÃguez-Vázquez, Ramón Garduño-Juárez. 1791-1792 [doi]
- MOCEA: a multi-objective clustering evolutionary algorithm for inferring protein-protein functional interactionsJose Juan Tapia, Edgar E. Vallejo, Enrique Morett. 1793-1794 [doi]
- Control of the number of random imigrants in genetic algorithms for protein structure predictionVinicius Tragante do Ó, Renato Tinós. 1795-1796 [doi]
- Competitive simulated annealing and Tabu Search algorithms for the max-cut problemEmely Arráiz, Oswaldo Olivo. 1797-1798 [doi]
- Do not choose representation just change: an experimental study in states based EAMaroun Bercachi, Philippe Collard, Manuel Clergue, Sébastien Vérel. 1799-1800 [doi]
- Metaheuristics for graph bisectionCharles-Edmond Bichot. 1801-1802 [doi]
- Solving the linear ordering problem using ant modelsCamelia Chira, Camelia-Mihaela Pintea, Gloria Cerasela Crisan, D. Dumitrescu. 1803-1804 [doi]
- Evolutionary codings and operators for the terminal assignment problemBryant A. Julstrom. 1805-1806 [doi]
- A novel quantum-inspired evolutionary algorithm for solving combinatorial optimization problemsParvaz Mahdabi, Mahdi Abadi, Saeed Jalili. 1807-1808 [doi]
- Crossover operators for multiobjective k-subset selectionThorsten Meinl, Michael R. Berthold. 1809-1810 [doi]
- A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problemsJosé Carlos Ortiz-Bayliss, Hugo Terashima-MarÃn, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón. 1811-1812 [doi]
- A search space analysis for the waste collection vehicle routing problem with time windowsAndrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca. 1813-1814 [doi]
- A multipopulation cultural algorithm based on genetic algorithm for the MKPDeam James Azevedo da Silva, Roberto Célio Limão de Oliveira. 1815-1816 [doi]
- Estimation of particle swarm distribution algorithms: bringing together the strengths of PSO and EDAsChang Wook Ahn, Hyun-Tae Kim. 1817-1818 [doi]
- A new method for linkage learning in the ECGAThyago S. P. C. Duque, David E. Goldberg. 1819-1820 [doi]
- SGMIEC: using selfish gene theory to construct mutualinformation and entropy based cluster for optimizationFeng Wang, Zhiyi Lin, Cheng Yang, Yuanxiang Li. 1821-1822 [doi]
- Modulation of multi-level evolutionary strategies for artificial cognitionOscar J. Romero López, Angélica de Antonio Jiménez. 1823-1824 [doi]
- A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimizationMário Augusto Torres, Rodrigo Magno Silva, Otávio Noura Teixeira, Roberto Limão. 1825-1826 [doi]
- Adaptive evolution: an efficient heuristic for global optimizationFrancisco Viveros Jiménez, Efrén Mezura-Montes, Alexander F. Gelbukh. 1827-1828 [doi]
- Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problemMadeleine Davis-Moradkhan, Will N. Browne, Peter Grindrod. 1829-1830 [doi]
- Single-objective and multi-objective formulations of solution selection for hypervolume maximizationHisao Ishibuchi, Yuji Sakane, Noritaka Tsukamoto, Yusuke Nojima. 1831-1832 [doi]
- A benchmark for quality indicators in multi-objective optimizationGiovanni Lizárraga, Arturo Hernández, Salvador Botello. 1833-1834 [doi]
- Video encoder optimization via evolutionary multiobjective optimization algorithmsAlvaro Luis Bustamante, José M. Molina López, Miguel A. Patricio. 1835-1836 [doi]
- An improved secondary ranking for many objective optimization problemsHemant K. Singh, Amitay Isaacs, Tapabrata Ray, Warren Smith. 1837-1838 [doi]
- Development of combinational circuits using non-uniform cellular automata: initial resultsMichal Bidlo, Zdenek VasÃcek. 1839-1840 [doi]
- On the performance of some bioinspired genetic operators in complex structures evolutionMarÃa J. Casas, Francisco J. Vico. 1841-1842 [doi]
- When and why development is needed: generative and developmental systemsAlexandre Devert. 1843-1844 [doi]
- GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiationMagda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S. El-Masry. 1845-1846 [doi]
- Expectation maximization enhancement with evolutionstrategy for stochastic ontology mappingBart Gajderowicz, Alireza Sadeghian, Marcus dos Santos. 1847-1848 [doi]
- A population scheme using cellular automata, cambrian explosions and massive extinctionsJonatan Gómez, Giovanni Cantor. 1849-1850 [doi]
- Elitism, fitness, and growthGerardo Gonzalez, Dean F. Hougen. 1851-1852 [doi]
- On the detection of general problem structures by using inductive linkage identificationYuan-Wei Huang, Ying-Ping Chen. 1853-1854 [doi]
- Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networksYoshiaki Katada, Kazuhiro Ohkura. 1855-1856 [doi]
- Effect of degree distribution on evolutionary searchSusan Khor. 1857-1858 [doi]
- A genetic algorithm with local map for path planning in dynamic environmentsIvan Koryakovskiy, Nguyen Xuan Hoai, Kyoung Mu Lee. 1859-1860 [doi]
- Avoiding the pitfalls of noisy fitness functions with genetic algorithmsFiacc Larkin, Conor Ryan. 1861-1862 [doi]
- Hybrid evolutionary algorithms for large scale continuous problemsAntonio LaTorre, José MarÃa Peña, Santiago Muelas, Manuel Zaforas. 1863-1864 [doi]
- Genetic algorithm with adaptive elitism-based immigrants for dynamic optimization problemsSeung-Kyu Lee, Byung Ro Moon. 1865-1866 [doi]
- The effect of vesicular selection in dynamic environmentsYun-Geun Lee, Robert I. McKay, Xuan Hoai Nguyen, Dong-Kyun Kim. 1867-1868 [doi]
- Co-evolvability of games in coevolutionary genetic algorithmsWei-Kai Lin, Tian-Li Yu. 1869-1870 [doi]
- SRaDE: an adaptive differential evolution based on stochastic rankingJinchao Liu, Zhun Fan, Erik D. Goodman. 1871-1872 [doi]
- Futility-based offspring sizingAndré Nwamba, Daniel R. Tauritz. 1873-1874 [doi]
- Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climberGustavo Reis, Francisco Fernández, Gustavo Olague. 1875-1876 [doi]
- Limitations of the fitness-proportional negative slope coefficient as a difficulty measureLeonardo Vanneschi, Andrea Valsecchi, Riccardo Poli. 1877-1878 [doi]
- An improved small-sample statistical test for comparing the success rates of evolutionary algorithmsBo Yuan, Marcus Gallagher. 1879-1880 [doi]
- Structural and nodal mutation in grammatical evolutionJonathan Byrne, Michael O Neill, Anthony Brabazon. 1881-1882 [doi]
- An evolutionary approach to feature function generation in application to biomedical image patternsPei Fang Guo, Prabir Bhattacharya. 1883-1884 [doi]
- Towards identifying salient patterns in genetic programming individualsAndrás Joó, Juan Pablo Neirotti. 1885-1886 [doi]
- Evolution of a local boundary detector for natural images via genetic programming and texture cuesIlan Kadar, Ohad Ben-Shahar, Moshe Sipper. 1887-1888 [doi]
- Formal verification to enhance evolution of protocolsTim Lewis, Russell J. Haines. 1889-1890 [doi]
- Evolving java objects using a grammar-based approachYandu Oppacher, Franz Oppacher, Dwight Deugo. 1891-1892 [doi]
- Bloat control in genetic programming by evaluating contribution of nodesAndy Song, Dunhai Chen, Mengjie Zhang. 1893-1894 [doi]
- Variable size population for dynamic optimization with genetic programmingLeonardo Vanneschi, Giuseppe Cuccu. 1895-1896 [doi]
- Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangementHuiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa. 1897-1898 [doi]
- The relationship between evolvability and bloatJeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong. 1899-1900 [doi]
- Benchmarking coevolutionary teaming under classification problems with large attribute spacesJohn Doucette, Peter Lichodzijewski, Malcolm I. Heywood. 1901-1902 [doi]
- On the evolution of neural networks for pairwise classification using gene expression programmingStephen Johns, Marcus V. dos Santos. 1903-1904 [doi]
- Exploiting multiple classifier types with active learningZhenyu Lu, Josh Bongard. 1905-1906 [doi]
- EMO shines a light on the holes of complexity spaceNúria Macià , Albert Orriols-Puig, Ester Bernadó-Mansilla. 1907-1908 [doi]
- Evolutionary-class independent LDA as a pre-process for improving classificationHossein Moeinzadeh, Mehdi Mohammadi, Ahmad Akbari, Babak Nasersharif. 1909-1910 [doi]
- Binary representation in gene expression programming: towards a better scalabilityJose Garcia Moreno-Torres, Xavier Llorà , David E. Goldberg. 1911-1912 [doi]
- Evolutionary clustering with arbitrary subspacesFarzaneh Naghibi, Ali Vahdat, Malcolm I. Heywood. 1913-1914 [doi]
- Are evolutionary rule learning algorithms appropriate for malware detection?M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq. 1915-1916 [doi]
- Ranking association rules for classification based on genetic network programmingGuangfei Yang, Shingo Mabu, Kaoru Shimada, Yunlu Gong, Kotaro Hirasawa. 1917-1918 [doi]
- Interval island model initialization for permutation-based problemsMalika Mehdi, Nouredine Melab, El-Ghazali Talbi, Pascal Bouvry. 1919-1920 [doi]
- Automatic detection of software defects: an industrial experienceSergio Gandini, Danilo Ravotto, Walter Ruzzarin, Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda. 1921-1922 [doi]
- Alternative voting systems in stock car racingAaron Garrett, Daniel Eric Smith. 1923-1924 [doi]
- An evolutionary approach to underwater sensor deploymentErik F. Golen, Bo Yuan, Nirmala Shenoy. 1925-1926 [doi]
- Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-IIQingsong Hu, Lihong Xu, Erik D. Goodman. 1927-1928 [doi]
- An evolutionary approach to planning IEEE 802.16 networksTing Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Robert Benkoczi. 1929-1930 [doi]
- Optimal designs of ambiguous mobile keypad with alphabetical constraintsHyumin Kim, Yong-Hyuk Kim. 1931-1932 [doi]
- Finding attractive rules in stock markets using a modular genetic programmingSeung-Kyu Lee, Byung Ro Moon. 1933-1934 [doi]
- Data mining of non-dominated solutions using proper orthogonal decompositionAkira Oyama, Taku Nonomura, Kozo Fujii. 1935-1936 [doi]
- Evolutionary maximum likelihood image compressionMohamad M. Tawfick, Hazem M. Abbas, Hussein I. Shahein. 1937-1938 [doi]
- Evolution of hyperheuristics for the biobjective graph coloring problem using multiobjective genetic programmingParesh Tolay, Rajeev Kumar. 1939-1940 [doi]
- An evolutionary approach to constructive induction for link discoveryTim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal. 1941-1942 [doi]
- Evolutionary functional testing of continuous control systemsAndreas Windisch, Felix Lindlar, Sebastian Topuz, Stefan Wappler. 1943-1944 [doi]
- Multi objective higher order mutation testing with GPWilliam B. Langdon, Mark Harman, Yue Jia. 1945-1946 [doi]
- TestFul: using a hybrid evolutionary algorithm for testing stateful systemsMatteo Miraz, Pier Luca Lanzi, Luciano Baresi. 1947-1948 [doi]
- An adaptive strategy for improving the performance of genetic programming-based approaches to evolutionary testingJosé Carlos Bregieiro Ribeiro, Mário Zenha Rela, Francisco Fernández de Vega. 1949-1950 [doi]
- Optimal robust expensive optimization is tractablePhilippe Rolet, Michèle Sebag, Olivier Teytaud. 1951-1956 [doi]