Abstract is missing.
- Evolutionary optimization of multi-agent controlstrategies for electric vehicle chargingStephan Hutterer, Michael Affenzeller, Franz Auinger. 3-10 [doi]
- Green OLSR in VANETs with differential evolutionJamal Toutouh, Enrique Alba. 11-18 [doi]
- Evolutionary multiobjective optimization for green cloudsDung H. Phan, Junichi Suzuki, Ray Carroll, Sasitharan Balasubramaniam, William Donnelly, Dmitri Botvich. 19-26 [doi]
- Roadside unit deployment for information dissemination in a VANET: an evolutionary approachEvellyn S. Cavalcante, André L. L. de Aquino, Gisele L. Pappa, Antonio Alfredo Ferreira Loureiro. 27-34 [doi]
- Evolutionary prediction of photovoltaic power plant energy productionPavel Krömer, Lukás Prokop, Václav Snásel, Stanislav Misák, Jan Platos, Ajith Abraham. 35-42 [doi]
- Evolutionary approaches for real world applications in 21st centuryNikhil Padhye. 43-48 [doi]
- Evolving evolutionary algorithmsNuno C. Lourenço, Francisco Baptista Pereira, Ernesto Costa. 51-58 [doi]
- Supportive coevolutionBrian W. Goldman, Daniel R. Tauritz. 59-66 [doi]
- The automatic generation of mutation operators for genetic algorithmsJohn Robert Woodward, Jerry Swan. 67-74 [doi]
- Autoconstructive evolution for structural problemsKyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly. 75-82 [doi]
- DEAP: a python framework for evolutionary algorithmsFrançois-Michel De Rainville, Félix-Antoine Fortin, Marc-André Gardner, Marc Parizeau, Christian Gagné. 85-92 [doi]
- EpochX: genetic programming in java with statistics and event monitoringFernando E. B. Otero, Tom Castle, Colin G. Johnson. 93-100 [doi]
- On the architecture and implementation of tree-based genetic programming in HeuristicLabMichael Kommenda, Gabriel Kronberger, Stefan Wagner 0002, Stephan M. Winkler, Michael Affenzeller. 101-108 [doi]
- SofEA: a pool-based framework for evolutionary algorithms using CouchDBJuan Julián Merelo Guervós, Carlos M. Fernandes, Antonio Miguel Mora, Anna Isabel Esparcia. 109-116 [doi]
- libCudaOptimize: an open source library of GPU-based metaheuristicsYoussef S. G. Nashed, Roberto Ugolotti, Pablo Mesejo, Stefano Cagnoni. 117-124 [doi]
- Integration of flexible interfaces in optimization software frameworks for simulation-based optimizationAndreas Beham, Erik Pitzer, Stefan Wagner 0002, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bäck. 125-132 [doi]
- The SEEDS platform for evolutionary and ecological simulationsBrian D. Connelly, Luis Zaman, Philip K. McKinley. 133-140 [doi]
- Optimization knowledge base: an open database for algorithm and problem characteristics and optimization resultsAndreas Scheibenpflug, Stefan Wagner 0002, Erik Pitzer, Michael Affenzeller. 141-148 [doi]
- INPUT: the intelligent parameter utilization toolFelix Dobslaw. 149-156 [doi]
- An ACO algorithm benchmarked on the BBOB noiseless function testbedTianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo. 159-166 [doi]
- Black-box optimization benchmarking for noiseless function testbed using a direction-based RCGAYao-Chen Chuang, Chyi-Tsong Chen. 167-174 [doi]
- Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbedIlya Loshchilov, Marc Schoenauer, Michèle Sebag. 175-182 [doi]
- Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbedVinicius Veloso de Melo. 183-188 [doi]
- Benchmarking the differential evolution with adaptive encoding on noiseless functionsPetr Poaík, Václav Klema. 189-196 [doi]
- JADE, an adaptive differential evolution algorithm, benchmarked on the BBOB noiseless testbedPetr Poaík, Václav Klema. 197-204 [doi]
- Benchmarking separable natural evolution strategies on the noiseless and noisy black-box optimization testbedsTom Schaul. 205-212 [doi]
- Benchmarking exponential natural evolution strategies on the noiseless and noisy black-box optimization testbedsTom Schaul. 213-220 [doi]
- Investigating the impact of adaptation sampling in natural evolution strategies on black-box optimization testbedsTom Schaul. 221-228 [doi]
- Benchmarking natural evolution strategies with adaptation sampling on the noiseless and noisy black-box optimization testbedsTom Schaul. 229-236 [doi]
- Comparing natural evolution strategies to BIPOP-CMA-ES on noiseless and noisy black-box optimization testbedsTom Schaul. 237-244 [doi]
- MEMPSODE: an empirical assessment of local search algorithm impact on a memetic algorithm using noiseless testbedCostas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris. 245-252 [doi]
- MEMPSODE: comparing particle swarm optimization and differential evolution within a hybrid memetic global optimization frameworkCostas Voglis, Grigoris S. Piperagkas, Konstantinos E. Parsopoulos, Dimitris G. Papageorgiou, Isaac E. Lagaris. 253-260 [doi]
- Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbedIlya Loshchilov, Marc Schoenauer, Michèle Sebag. 261-268 [doi]
- Black-box optimization benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 noiseless testbedIlya Loshchilov, Marc Schoenauer, Michèle Sebag. 269-276 [doi]
- On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbedDimo Brockhoff, Anne Auger, Nikolaus Hansen. 277-284 [doi]
- On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbedDimo Brockhoff, Anne Auger, Nikolaus Hansen. 285-290 [doi]
- On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbedDimo Brockhoff, Anne Auger, Nikolaus Hansen. 291-296 [doi]
- Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbedDimo Brockhoff, Anne Auger, Nikolaus Hansen. 297-304 [doi]
- Hybrid particle swarm optimization and convergence analysis for scheduling problemsXue-Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa. 307-314 [doi]
- Integrating evolutionary computation and sociotechnical simulation for flushing contaminated water distribution systemsM. Ehsan Shafiee, Emily M. Zechman. 315-322 [doi]
- Modeling technology evolution using generalized genotype-phenotype mapsC. Jason Woodard, Eric K. Clemons. 323-330 [doi]
- Evolutionary synthesis of multi-agent systems for dynamic dial-a-ride problemsRinde R. S. van Lon, Tom Holvoet, Greet Vanden Berghe, Tom Wenseleers, Jürgen Branke. 331-336 [doi]
- Automatic discovery of algorithms for multi-agent systemsSjors van Berkel, Daniel Turi, Andrei Pruteanu, Stefan Dulman. 337-344 [doi]
- The effects of tags on the evolution of honest signalingA. Pinar Ozisik, Kyle Ira Harrington. 345-352 [doi]
- Evo-devo-robo workshop programStéphane Doncieux, Yaochu Jin, Jean-Baptiste Mouret. 355-356 [doi]
- Evolving morphologies and controllers for soft-bodied multicellular animats using gene regulatory networks and artificial embryogenesisMichal Joachimczak, Taras Kowaliw, René Doursat, Borys Wróbel. 357-360 [doi]
- An artificial visual cortex drives behavioral evolution in co-evolved predator and prey robotsMichael E. Palmer, Andrew K. Chou. 361-364 [doi]
- Empirical mode decomposition for saliency detectionMaja Rudinac, Boris Lenseigne, Pieter P. Jonker. 365-368 [doi]
- Emergence of memory in neuroevolution: impact of selection pressuresCharles Ollion, Tony Pinville, Stéphane Doncieux. 369-372 [doi]
- XCSF for prediction on emotion induced by image based on dimensional theory of emotionPo-Ming Lee, Yun Teng, Tzu-Chien Hsiao. 375-382 [doi]
- Analysing fitness landscape changes in evolutionary robotsRenato Tinós. 385-392 [doi]
- Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problemErik Pitzer, Andreas Beham, Michael Affenzeller. 393-400 [doi]
- Assessment of problem modality by differential performance of lexicase selection in genetic programming: a preliminary reportLee Spector. 401-408 [doi]
- A call for collaborative landscape analysisDeon Garrett. 409-416 [doi]
- Achieving COSMOS: a metric for determining when to give up and when to reach for the starsEmma Tosch, Lee Spector. 417-424 [doi]
- The lay of the land: a brief survey of problem understandingKent McClymont, David Walker, Max Dupenois. 425-432 [doi]
- Generating colored 2-dimensional representations of sleep EEG with the KANTS clustering algorithmCarlos Miguel Fernandes, Antonio Miguel Mora, Juan Julián Merelo Guervós, Francisco Fernández, Agostinho C. Rosa. 435-442 [doi]
- Biaxial box plots and ordered trial ranks for visualizing large sets of experimental resultsKent McClymont. 443-450 [doi]
- Visualising many-objective populationsDavid J. Walker, Jonathan E. Fieldsend, Richard M. Everson. 451-458 [doi]
- Genetic evolution of L and FL-systems for the production of rhythmic sequencesMaximos A. Kaliakatsos-Papakostas, Andreas Floros, Nikolaos Kanellopoulos, Michael N. Vrahatis. 461-468 [doi]
- An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problemBrigitte Rafael, Michael Affenzeller, Stefan Wagner 0002. 469-476 [doi]
- Evolutionary algorithms and automatic transcription of musicGustavo Reis, Francisco Fernández de Vega, Aníbal Ferreira. 477-484 [doi]
- A new framework for scalable genetic programmingNassima Aleb, Samir Kechid. 487-492 [doi]
- Graphical models and what they reveal about GP when it solves a symbolic regression problemErik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly. 493-494 [doi]
- Sequential parameter optimization for symbolic regressionThomas Bartz-Beielstein, Oliver Flasch, Martin Zaefferer. 495-496 [doi]
- Robust function discovery and feature selection for life sciences and engineeringMark E. Kotanchek. 497-498 [doi]
- Interactive differential evolution for prostate ultrasound image thresholdingArman Darvish, Shahryar Rahnamayan, Zaid S. Mohamad. 501-508 [doi]
- First results and future developments of the MIBISOC Project in the IBISlab of the university of parmaStefano Cagnoni, Oscar Cordón, Pablo Mesejo, Youssef S. G. Nashed, Roberto Ugolotti. 509-516 [doi]
- An optimal reconstruction of the human arterial tree from doppler echotracking measurementsLaurent Dumas, Pierre Boutouyrie, Erwan Bozec. 517-522 [doi]
- Bézier control parameterization for evolutionary optimization in disease modelsTim Rogalsky. 523-530 [doi]
- Early diagnosis of lung tumors by genetically optimized 3D-metaball malignancy metricVitoantonio Bevilacqua, Giuseppe Filograno, Michele Fiorentino, Antonio E. Uva. 531-538 [doi]
- Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT imagesMaxine Tan, Rudi Deklerck, Bart Jansen, Jan Cornelis. 539-546 [doi]
- Flea market simulator: a market simulator for experiments on the computational evolution of trading strategies for economic agentsOmri Bernstein. 549-554 [doi]
- GAMIV: a genetic algorithm for identifying variable-lengthmotifs in noncoding DNADavid J. Gagne. 555-558 [doi]
- Grammatical evolution decision trees for trio designsAmanda English, Holly Petruso, Chong Wang. 559-562 [doi]
- Trade-offs using GAMID for the inference of DNA motifs that are represented in only a subset of sequences of interestJeffrey Thompson. 563-568 [doi]
- Evolving software applications using genetic programming - PushCalc: the evolved calculatorKwaku Yeboah-Antwi. 569-572 [doi]
- Principal coordinate strategy: a novel adaptive control strategy for differential evolutionYifeng Gao, Dan Lv. 573-578 [doi]
- Evolutionary fabrication: a system of autonomous inventionTimothy J. Kuehn. 579-584 [doi]
- Discrete vs. continuous multiobjective optimization of continuous casting of steelMiha Mlakar, Tea Tusar, Bogdan Filipic. 587-590 [doi]
- Evolving EFSMs solving a path-planning problem by genetic programmingMaxim Buzdalov, Andrey Sokolov. 591-594 [doi]
- Grammatical evolution support vector machines for predicting human genetic disease associationSkylar Marvel, Alison A. Motsinger-Reif. 595-598 [doi]
- Batting order optimization by genetic algorithmSen Han. 599-602 [doi]
- Test-based extended finite-state machines induction with evolutionary algorithms and ant colony optimizationDaniil Chivilikhin, Vladimir Ulyantsev, Fedor Tsarev. 603-606 [doi]
- Robotic swarm cooperation by co-adaptationFrançois-Michel De Rainville. 607-610 [doi]
- A comparison of GE optimized neural networks and decision treesKristopher Hoover, Rachel Marceau, Tyndall Harris, David M. Reif, Alison A. Motsinger-Reif. 611-614 [doi]
- Comparison of scoring methods for interactive evolutionary computation based image retouching systemDu-Mim Yoon, Kyung-Joong Kim. 617-618 [doi]
- GeDEA-II: a simplex-crossover based multi objective evolutionary algorithm including the genetic diversity asobjectiveClaudio Comis Da Ronco, Ernesto Benini. 619-620 [doi]
- Application of evolutionary algorithms for model calibrationMikhail A. Semenov, Pierre Stratonowitch. 621-622 [doi]
- Experiences on memetic computation for locating transition states in biochemical applicationsMostafa Mostafa Hashim Ellabaan, Yew-Soon Ong. 623-624 [doi]
- Differential evolution of constants in genetic programming improves efficacy and bloatShreya Mukherjee, Margaret J. Eppstein. 625-626 [doi]
- Interactive simulated robot construction and controller evolutionPaul Beliveau, Gregory Hornby, Josh Bongard. 627-628 [doi]
- On the effect of using multiple GPUs in solving QAPs with CUDAShigeyoshi Tsutsui, Noriyuki Fujimoto. 629-630 [doi]
- Evolving players that use selective game-tree search with genetic programmingAmit Benbassat, Moshe Sipper. 631-632 [doi]
- A surrogate multiobjective evolutionary strategy with local search and pre-selectionMartin Pilát, Roman Neruda. 633-634 [doi]
- The evolutionary algorithm SAMOA with use of dynamic constraintsSusanne Zaglauer. 635-636 [doi]
- The evolutionary algorithm SAMOA with use of design of experimentsSusanne Zaglauer. 637-638 [doi]
- Evolving instances of unconstrained binary quadratic programming that challenge a tabu search heuristicMichael Porta, Bryant A. Julstrom. 639-640 [doi]
- Automatic python programming using stack-based genetic programmingHyun Soo Park, Kyung-Joong Kim. 641-642 [doi]
- Combining programs to counter code disruptionCyril Fonlupt, Denis Robilliard. 643-644 [doi]
- SPOT applied to non-stochastic optimization problems: an experimental studyThomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Martin Zaefferer. 645-646 [doi]
- Generalized compressed network searchRupesh Kumar Srivastava, Jürgen Schmidhuber, Faustino J. Gomez. 647-648 [doi]
- A linkage-learning niching in estimation of distribution algorithmTsung-Yu Ho, Tian-Li Yu. 649-650 [doi]
- Density-based evolutionary outlier detectionAmit Banerjee. 651-652 [doi]
- 3-D modeling using collaborative evolutionJuan C. Quiroz, Amit Banerjee, Sushil J. Louis. 653-654 [doi]
- Evolving mixed nash equilibria for bimatrix gamesDavid Iclanzan, Noémi Gaskó, D. Dumitrescu. 655-656 [doi]
- Evolving data sets to highlight the performance differences between machine learning classifiersThomas Raway, David J. Schaffer, Kenneth J. Kurtz, Hiroki Sayama. 657-658 [doi]
- Not all physics simulators can be wrong in the same wayShane Eric Celis, Josh Bongard. 659-660 [doi]
- A new interactive evolutionary algorithm for the vehicle routing problemSahbi Ben Ismail, François Legras, Gilles Coppin. 661-668 [doi]
- Introduction to genetic algorithmsErik D. Goodman. 671-692 [doi]
- Genetic programming: a tutorial introductionUna-May O'Reilly. 693-710 [doi]
- Evolution strategies: basic introductionThomas Baeck. 711-736 [doi]
- Evolutionary computation: a unified approachKenneth A. De Jong. 737-750 [doi]
- GECCO 2012 tutorial on evolutionary multiobjective optimizationDimo Brockhoff, Kalyanmoy Deb. 751-776 [doi]
- Probabilistic model-building genetic algorithmsMartin Pelikan. 777-804 [doi]
- Evolving neural networksKenneth O. Stanley. 805-826 [doi]
- Tutorial CMA-ES: evolution strategies and covariance matrix adaptationAnne Auger, Nikolaus Hansen. 827-848 [doi]
- Constraint-handling techniques used with evolutionary algorithmsCarlos Artemio Coello Coello. 849-872 [doi]
- Representations for evolutionary algorithmsFranz Rothlauf. 873-894 [doi]
- Statistical analysis for evolutionary computation: an introductionMark Wineberg. 895-916 [doi]
- Genetic algorithm theoryJonathan E. Rowe. 917-940 [doi]
- Elementary landscapes: theory and applicationsL. Darrell Whitley, Andrew M. Sutton. 941-960 [doi]
- Generative and developmental systemsKenneth O. Stanley. 961-982 [doi]
- Expressive genetic programming: tutorial: 2012 genetic and evolutionary computation conference (GECCO-2012)Lee Spector. 983-1012 [doi]
- Fitness landscapes and graphs: multimodularity, ruggedness and neutralitySébastien Vérel. 1013-1034 [doi]
- Bioinspired computation in combinatorial optimization: algorithms and their computational complexityFrank Neumann, Carsten Witt. 1035-1058 [doi]
- Artificial immune systems for optimisationThomas Jansen, Christine Zarges. 1059-1078 [doi]
- Black-box complexity: from complexity theory to playing mastermindBenjamin Doerr. 1079-1092 [doi]
- GECCO 2012 tutorial: cartesian genetic programmingJulian Francis Miller, Simon Harding. 1093-1116 [doi]
- Evolutionary algorithms and genetic programming on graphic processing units (GPU)Pierre Collet, Simon Harding. 1117-1138 [doi]
- Computational intelligence in gamesDaniele Loiacono, Mike Preuß. 1139-1140 [doi]
- Introduction to bioinformatics and computational biologyWilliam S. Bush. 1141-1170 [doi]
- Large scale data mining using genetics-based machine learningJaume Bacardit, Xavier Llorà. 1171-1196 [doi]
- Hyper-heuristics and cross-domain optimizationGabriela Ochoa. 1197-1214 [doi]
- Theory of swarm intelligenceDirk Sudholt. 1215-1238 [doi]
- Drift analysisPer Kristian Lehre. 1239-1258 [doi]
- Statistical analysis of optimization algorithms with RThomas Bartz-Beielstein, Mike Preuß, Martin Zaefferer. 1259-1286 [doi]
- Algorithm and experiment design with heuristic lab: an open source optimization environment for research and educationStefan Wagner 0002, Gabriel Kronberger. 1287-1316 [doi]
- Geometry of evolutionary algorithmsAlberto Moraglio. 1317-1344 [doi]
- Evolutionary software repairStephanie Forrest, Claire Le Goues. 1345-1348 [doi]
- Real-world data modelingMark E. Kotanchek. 1349-1378 [doi]
- No entailing laws, but enablement in the evolution of the biosphereGiuseppe Longo, Maël Montévil, Stuart Kauffman. 1379-1392 [doi]
- How to look inside the brainCarl Edward Schoonover. 1393-1394 [doi]
- Improving the performance of MAX-MIN ant system on the TSP using stubborn antsAshraf M. Abdelbar, Donald C. Wunsch. 1395-1396 [doi]
- Particle swarm with self-organized criticalityCarlos Miguel Fernandes, Juan Julián Merelo Guervós, Agostinho C. Rosa, Francisco Fernández. 1397-1398 [doi]
- μABC: a micro artificial bee colony algorithm for large scale global optimizationAnguluri Rajasekhar, Swagatam Das, Sanjoy Das. 1399-1400 [doi]
- Swarm-based path creation in dynamic environments for search and rescueWilliam K. Richard, Stephen M. Majercik. 1401-1402 [doi]
- A spatial random-meaningful neighbourhood topology in pso for edge detection in noisy imagesMahdi Setayesh, Mengjie Zhang, Mark Johnston. 1403-1404 [doi]
- Avoiding local optima with interactive evolutionary roboticsJosh Bongard, Paul Beliveau, Gregory Hornby. 1405-1406 [doi]
- Exploring the evolution of internal control structure using digital enzymesChad M. Byers, Betty H. C. Cheng, Philip K. McKinley. 1407-1408 [doi]
- Co-adapting mobile sensor networks to maximize coverage in dynamic environmentsFrançois-Michel De Rainville, Christian Gagné, Denis Laurendeau. 1409-1410 [doi]
- Policy transfer in mobile robots using neuro-evolutionary navigationMatt Knudson, Kagan Tumer. 1411-1412 [doi]
- A species-based approach to brain-body co-evolution of modular robotsYuyang Zhang, Yan Meng. 1413-1414 [doi]
- A genetic approach for synthesizing metabolic models from time seriesAlberto Castellini, Vincenzo Manca, Mauro Zucchelli, Mirko Busato. 1415-1416 [doi]
- A dynamical model of cancer chemotherapy with disturbanceHenri C. Jimbo, Matthew J. Craven. 1417-1418 [doi]
- The search for robust topologies of oscillatory gene regulatory networks by evolutionary computationKazuki Komiya, Nasimul Noman, Hitoshi Iba. 1419-1420 [doi]
- Estimating reaction constants in stochastic biological systems with a multi-swarm PSO running on GPUsMarco S. Nobile, Daniela Besozzi, Paolo Cazzaniga, Giancarlo Mauri, Dario Pescini. 1421-1422 [doi]
- Gene regulatory network reverse engineering using population based incremental learning and K-meansLeon Palafox, Hitoshi Iba. 1423-1424 [doi]
- Checkpoint oriented cell-cycle simulation: critical role for age distribution initializationJonathan Pascalie, Valérie Lobjois, Hervé Luga, Bernard Ducommun, Yves Duthen. 1425-1426 [doi]
- Affective content based music video paring system using real coded GAChung-Hsiang Hsueh, Tian-Li Yu. 1427-1428 [doi]
- Linkage learning using the maximum spanning tree of the dependency graphB. Hoda Helmi, Martin Pelikan, Adel Torkaman Rahmani. 1429-1430 [doi]
- Surrogate-assisted evolutionary programming for high dimensional constrained black-box optimizationRommel G. Regis. 1431-1432 [doi]
- Synchronous cellular automata scheduler with construction heuristic to static task scheduling in multiprocessorsMurillo Guimarães Carneiro, Gina Maira Barbosa de Oliveira. 1433-1434 [doi]
- Evolving optimal agendas and strategies for negotiation in dynamic environments: a surrogate based approachAhmed Kattan, Shaheen Fatima. 1435-1436 [doi]
- An evaluation of cellular population model for improving quantum-inspired evolutionary algorithmNija Mani, Gursaran Srivastava, Arun Kumar Sinha, Ashish Mani. 1437-1438 [doi]
- A discrete artificial bee colony algorithm for the multi-objective redistricting problemEric Alfredo Rincón García, Roman Mora Gutiérrez, Pedro Lara Velázquez, Antonin Ponsich, Miguel Angel Gutiérrez-Ándrade, Sergio de-los-Cobos-Silva. 1439-1440 [doi]
- An efficient GPU implementation of a multi-start TSP solver for large problem instancesKamil Rocki, Reiji Suda. 1441-1442 [doi]
- Configuration of sensors on a 3-D terrain: an approach based on evolutionary multi-objective optimizationMd. Nasir, Soumyadip Sengupta, Swagatam Das, Sanjoy Das. 1443-1444 [doi]
- A multiobjective hybrid evolutionary algorithm for clustering in social networksBabak Amiri, Liaquat Hossain, John Crawford. 1445-1446 [doi]
- New evolutionary approaches to high-dimensional dataLuis Matoso, José Felipe Júnior, Adriano M. Pereira, Adriano Veloso, Wagner Meira Jr.. 1447-1448 [doi]
- Multi-objective artificial immune algorithm for security-constrained multi-application NoC mappingMartha Johanna Sepúlveda, Wang Jiang Chau, Marius Strum, César Pedraza, Guy Gogniat, Ricardo Pires. 1449-1450 [doi]
- Multi-criteria optimization for hard problems under limited budgetsMartin Zaefferer, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks, Oliver Flasch. 1451-1452 [doi]
- Dynamic behavioral diversityStéphane Doncieux, Jean-Baptiste Mouret. 1453-1454 [doi]
- Complexity search for compressed neural networksFaustino J. Gomez, Jan Koutník, Jürgen Schmidhuber. 1455-1456 [doi]
- Growing and evolving soft robots with a face-encoding tetrahedral grammarJohn Rieffel, Schuyler Smith. 1457-1458 [doi]
- Affine image registration transformation estimation using a real coded genetic algorithm with SBXMosab Bazargani, António dos Anjos, Fernando G. Lobo, Ali Mollahosseini, Hamid Shahbazkia. 1459-1460 [doi]
- Explaining adaptation in genetic algorithms with uniform crossover: the hyperclimbing hypothesisKeki M. Burjorjee. 1461-1462 [doi]
- Clans and cooperation in the iterated prisoner's dilemmaBryant A. Julstrom. 1463-1464 [doi]
- Naive and heuristic permutation-coded genetic algorithms for the quadratic knapsack problemBryant A. Julstrom. 1465-1466 [doi]
- A surrogate-assisted and informed linkage aware GATomasz Oliwa, Khaled Rasheed. 1467-1468 [doi]
- Evaluating coevolution on a multimodal problemTirtha R. Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek. 1469-1470 [doi]
- Meaningful representation and recombination of variable length genomesMatt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman. 1471-1472 [doi]
- Evolving NK-complexity for evolutionary solversRoberto Santana, Alexander Mendiburu, José Antonio Lozano. 1473-1474 [doi]
- Continuous space pattern reduction for genetic clustering algorithmChun-Wei Tsai, Tzu-Yuan Lin, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong. 1475-1476 [doi]
- Automatic generation of regular expressions from examples with genetic programmingAlberto Bartoli, Giorgio Davanzo, Andrea De Lorenzo, Marco Mauri, Eric Medvet, Enrico Sorio. 1477-1478 [doi]
- Improving haar cascade classifiers through the synthesis of new training examplesJoão Correia, Penousal Machado, Juan Romero. 1479-1480 [doi]
- Towards adaptive mutation in grammatical evolutionDavid Fagan, Erik Hemberg, Miguel Nicolau, Michael O'Neill, Seán McGarraghy. 1481-1482 [doi]
- Genetic programming for edge detection based on figure of meritWenlong Fu, Mark Johnston, Mengjie Zhang. 1483-1484 [doi]
- Empirical investigation of size-based tournaments for node selection in genetic programmingThomas Helmuth, Lee Spector. 1485-1486 [doi]
- Locally geometric semantic crossoverKrzysztof Krawiec, Tomasz Pawlak. 1487-1488 [doi]
- A comparative study of an evolvability indicator and a predictor of expected performance for genetic programmingLeonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand. 1489-1490 [doi]
- An information-based approach towards neuro-evolutionBehzad Behzadan, Robert Elliott Smith. 1491-1492 [doi]
- Stay real!: XCS with rule combining for real valuesNugroho Fredivianus, Kais Kara, Hartmut Schmeck. 1493-1494 [doi]
- Multiobjective optimization of co-clustering ensemblesFrancesco Gullo, A. K. M. Khaled Ahsan Talukder, Sean Luke, Carlotta Domeniconi, Andrea Tagarelli. 1495-1496 [doi]
- An evolutionary subspace clustering algorithm for high-dimensional dataSeyednaser Nourashrafeddin, Dirk V. Arnold, Evangelos E. Milios. 1497-1498 [doi]
- Maximizing the number of polychronous groups in spiking networksRoberto Santana, Concha Bielza, Pedro Larrañaga. 1499-1500 [doi]
- Generic prognosis with evolutionary approachesNicolas Schneider. 1501-1502 [doi]
- Full model selection in the space of data mining operatorsQuan Sun, Bernhard Pfahringer, Michael Mayo. 1503-1504 [doi]
- The effects of training set size and keeping rules on the emergent selection pressure of learnable evolution modelMark Coletti. 1505-1506 [doi]
- Genetic fuzzy rules for DOPsKhalid Jebari, Abdelaziz Bouroumi, Aziz Ettouhami. 1507-1508 [doi]
- Differential evolution algorithm with PCA-based crossoverYuan-Long Li, Jun Zhang 0003, Wei-neng Chen. 1509-1510 [doi]
- Improving clonal colony optimization to evolve robust solutionsJorge Maturana, Fernando Vergara, Cristian Rojas, Frédéric Saubion, Felipe Vargas, Daniel Vidal. 1511-1512 [doi]
- Enhance differential evolution with random walkZhi-hui Zhan, Jun Zhang 0003. 1513-1514 [doi]
- A winner-take-all methodology: finding the best evolutionary algorithm for the global optimization of functionsTiantian Zhang, Giselle Borrero, Michael Georgiopoulos. 1515-1516 [doi]
- Validating design choices in a pool-based distributed evolutionary algorithms architectureJuan Julián Merelo Guervós, Antonio Miguel Mora, Anna Isabel Esparcia, Carlos M. Fernandes. 1517-1518 [doi]
- Alpinist CellularDE: a cellular based optimization algorithm for dynamic environmentsVahid Noroozi, Ali B. Hashemi, Mohammad Reza Meybodi. 1519-1520 [doi]
- Analyzing the cross-generalization ability of a hybrid genetic & evolutionary application for multibiometric feature weighting and selectionAniesha Alford, Joshua Adams, Joseph Shelton, Kelvin S. Bryant, John Kelly, Gerry V. Dozier. 1521-1522 [doi]
- Co-evolution of the dynamics in population games: the case of traffic flow assignmentAna L. C. Bazzan. 1523-1524 [doi]
- Comparing the robustness of grammatical genetic programming solutions for femtocell algorithmsErik Hemberg, Lester T. W. Ho, Michael O'Neill, Holger Claussen. 1525-1526 [doi]
- New malware detection system using metric-based method and hybrid genetic algorithmJinhyun Kim, Byung Ro Moon. 1527-1528 [doi]
- User-system cooperative evolution for Japanese anagram sentence generationSatoshi Ono, Shigeru Nakayama. 1529-1530 [doi]
- Automated passive filter design using multi-objective genetic algorithms with variable parametersJosé Pinto, Nuno Horta. 1531-1532 [doi]
- Forex trading using geometry sensitive neural networksGene I. Sher. 1533-1534 [doi]
- Optimization of technical indicators in real time with multiobjective evolutionary algorithmsFrancisco J. Soltero, Diego J. Bodas-Sagi, Pablo Fernández-Blanco, José Ignacio Hidalgo, Francisco Fernández de Vega. 1535-1536 [doi]
- Equitable solutions in QoS-aware service optimizationMihai Alexandru Suciu, Marcel Cremene, Florin-Claudiu Pop, Dumitru Dumitrescu. 1537-1538 [doi]
- An evolutionary approach to define investment strategies based on macroeconomic indicators and VIX dataOleksandr Yefimochkin, Rui Ferreira Neves, Nuno Horta. 1539-1540 [doi]
- Multiobjective optimization for project portfolio selectionMárcio de Oliveira Barros, Hélio Rodrigues Costa, Fábio Vitorino Figueiredo, Ana Regina Cavalcanti da Rocha. 1541-1542 [doi]
- Adaptive genetic algorithm based on density distribution of populationNi Chen, Jun Zhang, Ou Liu. 1543-1544 [doi]
- The impact of the bin packing problem structure in hyper-heuristic performanceEunice López-Camacho, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos. 1545-1546 [doi]
- Evolutionary mining for multivariate associations in large time-varying data sets: a healthcare network applicationNarine Manukyan, Margaret J. Eppstein, Jeffrey D. Horbar, Kathleen A. Leahy, Michael J. Kenny, Shreya Mukherjee, Donna M. Rizzo. 1547-1548 [doi]