Abstract is missing.
- Information sharing in bee colony for detecting multiple niches in non-stationary environmentsSubhodip Biswas, Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos. 1-2 [doi]
- Ant colony optimization with adaptive heuristics designYing Lin, Jun Zhang. 3-4 [doi]
- Towards a repulsive and adaptive particle swarm optimization algorithmSimone A. Ludwig. 5-6 [doi]
- Simultaneous gene selection and cancer classification using a hybrid group search optimizerDattatraya Magatrao, Shameek Ghosh, Valadi K. Jayaraman, Patrick Siarry. 7-8 [doi]
- Steep gradients as a predictor of PSO failureKatherine Malan, Andries Petrus Engelbrecht. 9-10 [doi]
- Partially connected topologies for particle swarmCarlos M. Fernandes, Juan Julián Merelo Guervós, Juan Luís Jiménez Laredo, Carlos Cotta, Agostinho C. Rosa. 11-12 [doi]
- Ant colony optimisation and the traveling salesperson problem: hardness, features and parameter settingsSamadhi Nallaperuma, Markus Wagner 0007, Frank Neumann. 13-14 [doi]
- Evaluating the use of different measure functions in the predictive quality of ABC-minerKhalid M. Salama, Alex Alves Freitas. 15-16 [doi]
- Particles prefer walking along the axes: experimental insights into the behavior of a particle swarmManuel Schmitt, Rolf Wanka. 17-18 [doi]
- Space-based initialization strategy for particle swarm optimizationLiang Yin, Xiao-Min Hu, Jun Zhang. 19-20 [doi]
- Evolutionary optimization of robotic fish control and morphologyAnthony J. Clark, Philip K. McKinley. 21-22 [doi]
- Summary of "the evolutionary origins of modularity"Jeff Clune, Jean-Baptiste Mouret, Hod Lipson. 23-24 [doi]
- Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapesJeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán. 25-26 [doi]
- Using reinforcement learning and artificial evolution for the detection of group identities in complex adaptive artificial societiesCorrado Grappiolo, Julian Togelius, Georgios N. Yannakakis. 27-28 [doi]
- Dynamic memory for robot control via delay neural networksFrancis Jeanson, Anthony White. 29-30 [doi]
- High resilience in robotics with a multi-objective evolutionary algorithmSylvain Koos, Antoine Cully, Jean-Baptiste Mouret. 31-32 [doi]
- Evolution of altruism: spatial dispersion and consumption strategiesJean-Marc Montanier, Nicolas Bredeche. 33-34 [doi]
- Sensitivity analysis of a crawl gait multi-objective optimization systemMiguel Oliveira, Pedro Silva, Cristina P. Santos, Lino A. Costa. 35-36 [doi]
- Distributed embodied evolution for collective tasks: parametric analysis of a canonical algorithmPedro Trueba, Abraham Prieto, Francisco Bellas. 37-38 [doi]
- Leveraging ensemble information of evolving populations in genetic algorithms to identify incomplete metabolic pathwaysEddy J. Bautista, Ranjan Srivastava. 39-40 [doi]
- Using evolutionary algorithms in finding of optimized nucleotide substitution matricesPawel Blazej, Pawel Mackiewicz, Stanislaw Cebrat, Malgorzata Wanczyk. 41-42 [doi]
- NABEECO: biological network alignment with bee colony optimization algorithmRashid Ibragimov, Jan Martens, Jiong Guo, Jan Baumbach. 43-44 [doi]
- Analysis of relationship between amino acid composition of proteins and environmental features of microorganisms using evolutionary algorithm and self-organizing mapsMaciej Sobczynski, Pawel Mackiewicz. 45-46 [doi]
- Comparing coevolution, genetic algorithms, and hill-climbers for finding real-time strategy game plansChristopher A. Ballinger, Sushil Louis. 47-48 [doi]
- Multi-feature visualisations of phenotypic behaviour for creative interactive evolutionOliver Bown, Rob Saunders. 49-50 [doi]
- Sonification of population behavior in particle swarm optimizationTiago Fernandes Tavares, Alan Godoy. 51-52 [doi]
- Estimation of distribution algorithm based on hidden Markov models for combinatorial optimizationMarc-André Gardner, Christian Gagné, Marc Parizeau. 53-54 [doi]
- Factor graph based factorization distribution algorithmB. Hoda Helmi, Adel Torkaman Rahmani, Martin Pelikan. 55-56 [doi]
- Fitness tracking based evolutionary programming: a novel approach for function optimizationMd. Tanvir Alam Anik, Saif Ahmed, Md. Monirul Islam. 57-58 [doi]
- Analysis of generalised tit-for-tat strategies in evolutionary spatial n-player prisoner dilemmas: mrMenglin Li, Colm O'Riordan. 59-60 [doi]
- A linear time natural evolution strategy for non-separable functionsYi Sun, Tom Schaul, Faustino J. Gomez, Jürgen Schmidhuber. 61-62 [doi]
- A hybrid genetic algorithm with local search approach for E/T scheduling problems on identical parallel machinesRainer Amorim, Bruno Dias, Rosiane de Freitas, Eduardo Uchoa. 63-64 [doi]
- Dimension reduction in the search for online bin packing policiesShahriar Asta, Ender Özcan, Andrew J. Parkes. 65-66 [doi]
- Characterising fitness landscapes using predictive local searchMarius Gheorghita, Irene Moser, Aldeida Aleti. 67-68 [doi]
- Bio-inspired and evolutionary algorithms applied to a bi-objective network design problemMaría Alejandra Guzmán, Gustavo Alfredo Bula. 69-70 [doi]
- A set-based locally informed discrete particle swarm optimizationYun-yang Ma, Yue-jiao Gong, Wei-neng Chen, Jun Zhang 0003. 71-72 [doi]
- A hybrid evolutionary simulated annealing algorithm with incorporation of preferencesEunice Oliveira, Carlos Henggeler Antunes, Alvaro Gomes. 73-74 [doi]
- An approach to solve winner determination in combinatorial reverse auctions using genetic algorithmsShubhashis Kumar Shil, Malek Mouhoub, Samira Sadaoui. 75-76 [doi]
- A statistical study of discrete differential evolution approaches for the capacitated vehicle routing problemAndre Luis Silva, Jaime Arturo Ramírez, Felipe Campelo. 77-78 [doi]
- Biased random-key genetic algorithm for linearly-constrained global optimizationRicardo Martins de Abreu Silva, Mauricio G. C. Resende, Panos M. Pardalos, Joao L. Faco. 79-80 [doi]
- Simulated annealing based resource allocation for cloud data centersWenbo Wang, Xiaolin Chang, Jiqiang Liu, Bin Wang. 81-82 [doi]
- On composing an (evolutionary) algorithm portfolioShiu Yin Yuen, Xin Zhang 0014. 83-84 [doi]
- Population size and scalability in the aeseh evolutionary many-objective algorithmHernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka. 85-86 [doi]
- Improving uniformity of solution spacing in biobjective evolutionKarim J. Chichakly, Margaret J. Eppstein. 87-88 [doi]
- Influence of relaxed dominance criteria in multiobjective evolutionary algorithmsFillipe Goulart, Lucas S. Batista, Felipe Campelo. 89-90 [doi]
- MOEA for clustering: comparison of mutation operatorsOliver Kirkland, Beatriz de la Iglesia. 91-92 [doi]
- A memetic algorithm for multiobjective problemsLaurent Moalic, Sid Lamrous, Alexandre Caminada. 93-94 [doi]
- Finding a diverse set of decision variables in evolutionary many-objective optimizationKaname Narukawa. 95-96 [doi]
- Multiobjectivization for classifier parameter tuningMartin Pilát, Roman Neruda. 97-98 [doi]
- Exploring some scalarization techniques for EMOAsMihai Alexandru Suciu, Marcel Cremene, Dumitru Dumitrescu. 99-100 [doi]
- Preference-inspired co-evolutionary algorithm using weights for many-objective optimizationRui Wang, Robin C. Purshouse, Peter J. Fleming. 101-102 [doi]
- Optimization of assignment of tasks to teams using multi-objective metaheuristicsIrfan Younas, Farzad Kamrani, Rassul Ayani. 103-104 [doi]
- Mixed geometric-topological representation for electromechanical designJacob Beal, Aaron Adler, Hala Mostafa. 105-106 [doi]
- Morphogen-based self-generation of evolving artificial multicellular structures with millions of cellsAlessandro Fontana, Borys Wróbel. 107-108 [doi]
- Extending the growing point language to self-organise patterns in three dimensionsAlyssa Morgan, Daniel Coore. 109-110 [doi]
- Artificial development of connections in SHRUTI networks using a multi objective genetic algorithmJoe Townsend, Ed Keedwell, Antony Galton. 111-112 [doi]
- An efficient constraint handling approach for optimization problems with limited feasibility and computationally expensive constraint evaluationsMd. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker. 113-114 [doi]
- An EA for portfolio selection over multiple investment periods with exponential transaction costsMatthew J. Craven, Henri C. Jimbo. 115-116 [doi]
- Coevolution of rules and topology in cellular automataChristian Darabos, Craig O. Mackenzie, Marco Tomassini, Mario Giacobini, Jason H. Moore. 117-118 [doi]
- Evolutionary algorithms for the detection of structural breaks in time series: extended abstractBenjamin Doerr, Paul Fischer, Astrid Hilbert, Carsten Witt. 119-120 [doi]
- A novel pheromone-based evolutionary algorithm for solving degree-constrained minimum spanning tree problemXiao-ma Huang, Yue-jiao Gong, Jun Zhang. 121-122 [doi]
- Differential evolution enhanced with evolution path vectorYuan-Long Li, Zhi-hui Zhan, Jun Zhang 0003. 123-124 [doi]
- A priority based parental selection method for genetic algorithmRumana Nazmul, Madhu Chetty. 125-126 [doi]
- An overlapping variable linkage benchmark suiteTomasz Oliwa, Khaled Rasheed. 127-128 [doi]
- Automated abstract planning with use of genetic algorithmsJaroslaw Skaruz, Artur Niewiadomski, Wojciech Penczek. 129-130 [doi]
- An attraction basin estimating genetic algorithm for multimodal optimizationZhuoran Xu, Mikko Polojärvi, Masahito Yamamoto, Masashi Furukawa. 131-132 [doi]
- Segment-based genetic programmingNailah Al-Madi, Simone A. Ludwig. 133-134 [doi]
- Comparing ensemble learning approaches in genetic programming for classification with unbalanced dataUrvesh Bhowan, Mark Johnston, Mengjie Zhang. 135-136 [doi]
- An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogeneticsMauro Castelli, Davide Castaldi, Leonardo Vanneschi, Ilaria Giordani, Francesco Archetti, Daniele Maccagnola. 137-138 [doi]
- An evolutionary methodology for automatic design of finite state machinesJ. Manuel Colmenar, Alfredo Cuesta-Infante, José L. Risco-Martín, José Ignacio Hidalgo. 139-140 [doi]
- Bootstrapping to reduce bloat and improve generalisation in genetic programmingJeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan. 141-142 [doi]
- Automatic identification of hierarchy in multivariate dataIlknur Icke, Joshua Clifford Bongard. 143-144 [doi]
- Numerical optimization by multi-gene genetic programmingAdriano Soares Koshiyama, Douglas Mota Dias, André Vargas Abs da Cruz, Marco Aurélio Cavalcanti Pacheco. 145-146 [doi]
- Function optimization using cartesian genetic programmingJulian F. Miller, Maktuba Mohid. 147-148 [doi]
- Guiding function set selection in genetic programming based on fitness landscape analysisQuang Uy Nguyen, Truong Cong Doan, Xuan Hoai Nguyen, Michael O'Neill. 149-150 [doi]
- Towards a dynamic benchmark for genetic programmingClíodhna Tuite, Michael O'Neill, Anthony Brabazon. 151-152 [doi]
- Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure predictionErik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly. 153-154 [doi]
- Extended rule-based genetic network programmingXianneng Li, Kotaro Hirasawa. 155-156 [doi]
- Adaptive artificial datasets to discover the effects of domain features for classification tasksSyahaneim Marzukhi, Will N. Browne, Mengjie Zhang. 157-158 [doi]
- Label free change detection on streaming data with cooperative multi-objective genetic programmingSara Rahimi, Andrew R. McIntyre, Malcolm I. Heywood, A. Nur Zincir-Heywood. 159-160 [doi]
- Flat vs. symbiotic evolutionary subspace clusteringsAli Vahdat, Malcolm I. Heywood. 161-162 [doi]
- A new data pre-processing approach for the dendritic cellalgorithm based on fuzzy rough set theoryZeineb Chelly, Zied Elouedi. 163-164 [doi]
- A fuzzy evolutionary simulation model (FESModel) for fleet combat strategiesPablo Rangel, José Ricardo Potier de Oliveira, José Gomes de Carvalho Jr., Beatriz de Souza Leite Pires de Lima, Solange Guimarães. 165-166 [doi]
- 3DMIA: a multi-objective artificial immune algorithm for 3D-MPSoC multi-application 3D-NoC mappingMartha Johanna Sepúlveda, Guy Gogniat, Daniel Mauricio Sepúlveda, Ricardo Pires, Wang Jiang Chau, Marius Strum. 167-168 [doi]
- Towards a scalable intrusion detection system based on parallel PSO clustering using mapreduceIbrahim Aljarah, Simone A. Ludwig. 169-170 [doi]
- Understanding the efficient parallelisation of cellular automata on CPU and GPGPU hardwareMike J. Gibson, Ed Keedwell, Dragan A. Savic. 171-172 [doi]
- Dynamic selection of migration flows in island model differential evolutionRodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Felipe Campelo, Frederico G. Guimarães. 173-174 [doi]
- The discovery and quantification of risk in high dimensional search spacesKester Clegg, Robert Alexander. 175-176 [doi]
- Improving recruitment effectiveness using genetic programming techniquesDouglas Adriano Augusto, Heder S. Bernardino, Helio J. C. Barbosa. 177-178 [doi]
- Multi-dimensional pattern discovery in financial time series using sax-ga with extended robustnessAntónio Canelas, Rui Ferreira Neves, Nuno Horta. 179-180 [doi]
- Tool sequence optimisation using preferential multi-objective searchAlexander Wainwright Churchill, Phil Husbands, Andrew Philippides. 181-182 [doi]
- Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraintsWilliam J. Curran, Adrian K. Agogino, Kagan Tumer. 183-184 [doi]
- Aero engine health management system architecture design using multi-criteria optimizationRajesh Kudikala, Andrew R. Mills, Peter J. Fleming, Graham F. Tanner, Jonathan E. Holt. 185-186 [doi]
- Multiobjective optimization for reducing delays and congestion in air traffic managementGaétan Marceau, Pierre Savéant, Marc Schoenauer. 187-188 [doi]
- Self-adaptive niching differential evolution and its application to semi-fragile watermarking for two-dimensional barcodes on mobile phone screenSatoshi Ono, Takeru Maehara, Hirokazu Sakaguchi, Daisuke Taniyama, Ryo Ikeda, Shigeru Nakayama. 189-190 [doi]
- Evolving cryptographically sound boolean functionsStjepan Picek, Domagoj Jakobovic, Marin Golub. 191-192 [doi]
- Incorporating emissions models within a multi-objectivevehicle routing problemNeil Urquhart, Catherine Scott, Emma Hart. 193-194 [doi]
- A multi-agent genetic algorithm for resource constrained project scheduling problemsXiaoxiao Yuan, Chuanfu Xiao, Xiyu Lv, Jing Liu. 195-196 [doi]
- Using portfolio theory to diversify the dynamic allocation of web services in the cloudFaisal Alrebeish, Rami Bahsoon. 197-198 [doi]
- Search-based construction of finite-state machines with real-valued actions: new representation modelIgor Buzhinsky, Vladimir Ulyantsev, Fedor Tsarev, Anatoly Shalyto. 199-200 [doi]
- Multi-objective evolutionary auto-tuning for optimising algorithm speed and cache memory usageDarren M. Chitty. 201-202 [doi]
- Self-focusing genetic programming for software optimisationBrendan Cody-Kenny, Stephen Barrett. 203-204 [doi]
- Search-based refactoring detectionRim Mahouachi, Marouane Kessentini, Mel Ó Cinnéide. 205-206 [doi]
- Applying genetic algorithms to data selection for SQL mutation analysisAna C. L. Monção, Celso G. Camilo-Junior, Leonardo T. Queiroz, Cássio L. Rodrigues, Plínio de Sá Leitão-Jr, Auri M. R. Vincenzi. 207-208 [doi]
- A novel component identification approach using evolutionary programmingAurora Ramirez, José Raúl Romero, Sebastián Ventura. 209-210 [doi]
- Automated test generation for multi-state systemsPedro Reales Mateo, Macario Polo Usaola. 211-212 [doi]
- Evolutionary generation of neural network update signals for the topology optimization of structuresNikola Aulig, Markus Olhofer. 213-214 [doi]
- Parameter control: strategy or luck?Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben. 215-216 [doi]
- Math oracles: a new way of designing efficient self-adaptive algorithmsGabriel Luque, Enrique Alba. 217-218 [doi]
- Evolutionary hyperheuristic for capacitated vehicle routing problemJaromír Mlejnek, Jirí Kubalík. 219-220 [doi]
- Algorithm configuration using GPU-based metaheuristicsRoberto Ugolotti, Youssef S. G. Nashed, Pablo Mesejo, Stefano Cagnoni. 221-222 [doi]
- Noisy optimization convergence ratesSandra Astete Morales, Jialin Liu, Olivier Teytaud. 223-224 [doi]
- Introduction to genetic algorithmsErik D. Goodman. 225-246 [doi]
- Genetic programming: a tutorial introductionUna-May O'Reilly. 247-264 [doi]
- Evolution strategies: basic introductionThomas Bäck. 265-292 [doi]
- Evolutionary computation: a unified approachKenneth A. De Jong. 293-306 [doi]
- GECCO 2013 tutorial on evolutionary multiobjective optimizationDimo Brockhoff. 307-334 [doi]
- Representations for evolutionary algorithmsFranz Rothlauf. 335-356 [doi]
- Evolving neural networksRisto Miikkulainen. 357-376 [doi]
- Model-based evolutionary algorithmsDirk Thierens, Peter A. N. Bosman. 377-404 [doi]
- Statistical analysis for evolutionary computationMark Wineberg. 405-438 [doi]
- Learning classifier systems: introducing the user-friendly textbookWill N. Browne, Ryan J. Urbanowicz. 439-468 [doi]
- Runtime analysis of evolutionary algorithms: basic introductionPer Kristian Lehre, Pietro Simone Oliveto. 469-498 [doi]
- Tutorial CMA-ES: evolution strategies and covariance matrix adaptationAnne Auger, Nikolaus Hansen. 499-520 [doi]
- Constraint-handling techniques used with evolutionary algorithmsCarlos Artemio Coello Coello. 521-544 [doi]
- Elementary landscapes: theory and applicationsL. Darrell Whitley, Andrew M. Sutton. 545-566 [doi]
- Bioinspired computation in combinatorial optimization: algorithms and their computational complexityFrank Neumann, Carsten Witt. 567-590 [doi]
- Fitness landscapes and graphs: multimodularity, ruggedness and neutralitySébastien Vérel. 591-616 [doi]
- Black-box complexity: from complexity theory to playing mastermindBenjamin Doerr, Carola Doerr. 617-640 [doi]
- Advances on many-objective evolutionary optimizationHernán E. Aguirre. 641-666 [doi]
- Evolutionary computation for dynamic optimization problemsShengxiang Yang. 667-682 [doi]
- Expressive genetic programmingLee Spector. 683-714 [doi]
- GECCO 2013 tutorial: cartesian genetic programmingJulian F. Miller. 715-740 [doi]
- Large scale data mining using genetics-based machine learningJaume Bacardit, Xavier Llorà. 741-764 [doi]
- Introduction to evolutionary game theoryMarco Tomassini. 765-778 [doi]
- Artificial immune systems for optimisationThomas Jansen, Christine Zarges. 779-796 [doi]
- Generative and developmental systemsKenneth O. Stanley. 797-826 [doi]
- Evolutionary computation for supervised learningChristian Gagné. 827-844 [doi]
- Differential evolution: recent advancesPonnuthurai N. Suganthan. 845-876 [doi]
- Evolutionary bilevel optimizationAnkur Sinha, Pekka Malo, Kalyanmoy Deb. 877-892 [doi]
- Automatic (offline) configuration of algorithmsThomas Stützle, Manuel López-Ibáñez. 893-918 [doi]
- Designing and building powerful, inexpensive robots for evolutionary researchTerence Soule. 919-934 [doi]
- Industrial applications of evolutionary algorithmsGiovanni Squillero. 935-956 [doi]
- Computational intelligence and gamesDaniele Loiacono, Mike Preuss. 957-978 [doi]
- How to create meaningful and generalizable resultsThomas Bartz-Beielstein, Martin Zaefferer, Boris Naujoks. 979-1004 [doi]
- Computational aesthetic evaluation: automated fitness functions for evolutionary art, design, and musicPhilip Galanter. 1005-1038 [doi]
- A behavior-based analysis of modal problemsLeonardo Trujillo, Lee Spector, Enrique Naredo, Yuliana Martínez. 1047-1054 [doi]
- Problem understanding through landscape theoryJ. Francisco Chicano, Gabriel Luque, Enrique Alba. 1055-1062 [doi]
- EA-based parameter tuning of multimodal optimization performance by means of different surrogate modelsCatalin Stoean, Mike Preuss, Ruxandra Stoean. 1063-1070 [doi]
- Recent advances in problem understanding: changes in the landscape a year onKent McClymont. 1071-1078 [doi]
- Missing from the model: orders, drivers, tractors and trailers and non-linear loadingTim Pigden. 1079-1084 [doi]
- Search methodologies in real-world software engineeringGabriela Ochoa. 1085-1088 [doi]
- Liger: an open source integrated optimization environmentIoannis Giagkiozis, Robert J. Lygoe, Peter J. Fleming. 1089-1096 [doi]
- Using graphical information systems to improve vehicle routing problem instancesNeil Urquhart, Catherine Scott, Emma Hart. 1097-1102 [doi]
- Challenges of applying optimization methodology in industryBogdan Filipic, Tea Tusar. 1103-1104 [doi]
- An interpolation based crossover operator for genetic programmingNassima Aleb, Samir Kechid. 1107-1112 [doi]
- A bootstrapping approach to reduce over-fitting in genetic programmingJeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan. 1113-1120 [doi]
- Effects of constant optimization by nonlinear least squares minimization in symbolic regressionMichael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner 0002. 1121-1128 [doi]
- An extension of hill-climbing with learning applied to a symbolic regression of boolean functionsVladimir Kvasnicka, Ladislav Clementis, Jiri Pospichal. 1129-1134 [doi]
- Adapt-MEMPSODE: a memetic algorithm with adaptive selection of local searchesCostas Voglis. 1137-1144 [doi]
- Benchmarking a hybrid multi level single linkagealgorithm on the bbob noiseless testbedLászló Pál. 1145-1152 [doi]
- Comparison of multistart global optimization algorithms on the BBOB noiseless testbedLászló Pál. 1153-1160 [doi]
- Bounding the population size of IPOP-CMA-ES on the noiseless BBOB testbedTianjun Liao, Thomas Stützle. 1161-1168 [doi]
- Testing the impact of parameter tuning on a variant of IPOP-CMA-ES with a bounded maximum population size on the noiseless BBOB testbedTianjun Liao, Thomas Stützle. 1169-1176 [doi]
- Bi-population CMA-ES agorithms with surrogate models and line searchesIlya Loshchilov, Marc Schoenauer, Michèle Sebag. 1177-1184 [doi]
- Expensive optimization scenario: IPOP-CMA-ES with a population bound mechanism for noiseless function testbedTianjun Liao, Thomas Stützle. 1185-1192 [doi]
- Benchmarking projection-based real coded genetic algorithm on BBOB-2013 noiseless function testbedBabatunde A. Sawyerr, Aderemi Oluyinka Adewumi, Montaz M. Ali. 1193-1200 [doi]
- Benchmarking cellular genetic algorithms on the BBOB noiseless testbedNeal J. Holtschulte, Melanie Moses. 1201-1208 [doi]
- An evaluation of sequential model-based optimization for expensive blackbox functionsFrank Hutter, Holger Hoos, Kevin Leyton-Brown. 1209-1216 [doi]
- Multiobjectivization with NSGA-ii on the noiseless BBOB testbedThanh-Do Tran, Dimo Brockhoff, Bilel Derbel. 1217-1224 [doi]
- Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bedAnne Auger, Dimo Brockhoff, Nikolaus Hansen. 1225-1232 [doi]
- Comparison of two methods for computing action values in XCS with code-fragment actionsMuhammad Iqbal 0001, Will N. Browne, Mengjie Zhang. 1235-1242 [doi]
- Adaptive artificial datasets through learning classifier systems for classification tasksSyahaneim Marzukhi, Will N. Browne, Mengjie Zhang. 1243-1250 [doi]
- REUCS-CRG: reduct based ensemble of sUpervised classifier system with combinatorial rule generation for data miningEssam Soliman Debie, Kamran Shafi, Chris Lokan. 1251-1258 [doi]
- A simple multi-core parallelization strategy for learning classifier system evaluationJames Rudd, Jason H. Moore, Ryan J. Urbanowicz. 1259-1266 [doi]
- Efficient training set use for blood pressure prediction in a large scale learning classifier systemErik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly. 1267-1274 [doi]
- The subsumption mechanism for XCS using code fragmented conditionsHsuan-Ta Lin, Po-Ming Lee, Tzu-Chien Hsiao. 1275-1282 [doi]
- HH-evolver: a system for domain-specific, hyper-heuristic evolutionAchiya Elyasaf, Moshe Sipper. 1285-1292 [doi]
- GraphEA: a 3D educational tool for genetic algorithmsRafael Dinis, Anabela Simões, Jorge Bernardino. 1293-1300 [doi]
- EvoSpace-i: a framework for interactive evolutionary algorithmsMario García Valdez, Juan Julián Merelo Guervós, Leonardo Trujillo, Francisco Fernández de Vega, José C. Romero, Alejandra Mancilla. 1301-1308 [doi]
- Event-based graphical monitoring in the EpochX genetic programming frameworkLoïc Vaseux, Fernando E. B. Otero, Tom Castle, Colin G. Johnson. 1309-1316 [doi]
- HH-DSL: a domain specific language for selection hyper-heuristicsHilal Kevser Cora, H. Turgut Uyar, A. Sima Etaner-Uyar. 1317-1324 [doi]
- Goldenberry: EDA visual programming in orangeSergio Rojas Galeano, Nestor Rodriguez. 1325-1332 [doi]
- GPDL: a framework-independent problem definition language for grammar-guided genetic programmingGabriel Kronberger, Michael Kommenda, Stefan Wagner, Heinz Dobler. 1333-1340 [doi]
- Developing services in a service oriented architecture for evolutionary algorithmsPablo García-Sánchez, Maria I. García Arenas, Antonio Miguel Mora, Pedro A. Castillo, Carlos Fernandes, Paloma de las Cuevas, Gustavo Romero, Jesús González, Juan Julián Merelo Guervós. 1341-1348 [doi]
- Visualization of genetic lineages and inheritance information in genetic programmingBogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger. 1351-1358 [doi]
- Signaling and visualization for interactive evolutionary search and selection of conceptual solutionsAmiram Moshaiov, Yevgeny Rizakov. 1359-1366 [doi]
- An approach to visualizing the 3D empirical attainment functionTea Tusar, Bogdan Filipic. 1367-1372 [doi]
- Evolutionary visual exploration: experimental analysis of algorithm behaviourWaldo Cancino Ticona, Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton. 1373-1380 [doi]
- Template based evolutionChristopher James Headleand, William John Teahan. 1383-1390 [doi]
- Adaptation of a multiagent evolutionary algorithm to NK landscapesDavid Chalupa. 1391-1398 [doi]
- Simulating the cultural evolution of literary genresGraham Alexander Sack, Daniel Wu, Benji Zusman. 1399-1406 [doi]
- Evolutionary algorithm for optimal anchor node placement to localize devices in a mobile ad hoc network during building evacuationSabrina Merkel, Patrick Unger, Hartmut Schmeck. 1407-1414 [doi]
- Topology of social networks and efficiency of collective intelligence methodsAlan Godoy, Fernando J. Von Zuben. 1415-1422 [doi]
- Interaction-based group identity detection via reinforcement learning and artificial evolutionCorrado Grappiolo, Julian Togelius, Georgios N. Yannakakis. 1423-1430 [doi]
- The nexus cognitive agent-based model: coevolution for valid computational social modelingDeborah Duong, Jerry Pearman, Christopher Bladon. 1431-1436 [doi]
- An evolutionary approach for robust adaptation of robot behavior to sensor errorJoshua P. Hecker, Melanie E. Moses. 1437-1444 [doi]
- Correlation of microarray probes give evidence for mycoplasma contamination in human studiesW. B. Langdon. 1447-1454 [doi]
- Segmentation of histological images using a metaheuristic-based level set approachPablo Mesejo, Stefano Cagnoni, Alessandro Costalunga, Davide Valeriani. 1455-1462 [doi]
- Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory systemStephan M. Winkler, Michael Affenzeller, Herbert Stekel. 1463-1470 [doi]
- Skin lesion image segmentation using a color genetic algorithmAlessia Amelio, Clara Pizzuti. 1471-1478 [doi]
- Characterisation of movement disorder in parkinson's disease using evolutionary algorithmsStuart E. Lacy, Michael A. Lones, Stephen L. Smith, Jane E. Alty, D. R. Stuart Jamieson, Katherine L. Possin, Norbert Schuff. 1479-1486 [doi]
- Using supportive coevolution to evolve self-configuring crossoverNathaniel R. Kamrath, Brian W. Goldman, Daniel R. Tauritz. 1489-1496 [doi]
- Evolving black-box search algorithms employing genetic programmingMatthew A. Martin, Daniel R. Tauritz. 1497-1504 [doi]
- Towards a method for automatically evolving bayesian network classifiersAlex Guimarães Cardoso de Sá, Gisele Lobo Pappa. 1505-1512 [doi]
- Refining scheduling policies with genetic algorithmsEmin Ogur, Mehmet E. Aydin. 1513-1518 [doi]
- Short term wind speed forecasting with evolved neural networksDavid Corne, Alan P. Reynolds, Stuart J. Galloway, Edward Owens, Andrew M. Peacock. 1521-1528 [doi]
- Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flowStephan Hutterer, Stefan Vonolfen, Michael Affenzeller. 1529-1536 [doi]
- EvoNILM: evolutionary appliance detection for miscellaneous household appliancesDominik Egarter, Wilfried Elmenreich. 1537-1544 [doi]
- Sa based power efficient FPGA LUT mappingRichard Dobson, Kathleen Steinhöfel. 1545-1552 [doi]
- Green cloud virtual network provisioning based ant colony optimizationXiaolin Chang, Bin Wang, Jiqiang Liu, Wenbo Wang, Jogesh K. Muppala. 1553-1560 [doi]
- Modular approach for the optimal wind turbine micro siting problem through CMA-ES algorithmSílvio Miguel Fragoso Rodrigues, Pavol Bauer, Jan Pierik. 1561-1568 [doi]
- Designing a novel hybrid swarm based multiobjective evolutionary algorithm for finding DNA motifsDavid L. González-Álvarez, Miguel A. Vega-Rodríguez. 1571-1578 [doi]
- A parallel genetic programming for single class classificationCuong To, Mohamed Elati. 1579-1586 [doi]
- A comparative study on distance methods applied to a multiobjective firefly algorithm for phylogenetic inferenceSergio Santander-Jiménez, Miguel A. Vega-Rodríguez. 1587-1594 [doi]
- Protein folding with cellular automata in the 3D HP modelJosé Santos, Pablo Villot, Martín Diéguez. 1595-1602 [doi]
- Prediction of protein inter-domain linkers using compositional index and simulated annealingMaad Shatnawi, Nazar Zaki. 1603-1608 [doi]
- An ant colony optimization approach for solving the nuclear magnetic resonance structure based assignment problemJeyhun Aslanov, Bülent Çatay, Mehmet Serkan Apaydin. 1609-1616 [doi]
- DNA base-code generation for reliable computing by using standard multi-objective evolutionary algorithmsJosé M. Chaves-González, Miguel A. Vega-Rodríguez. 1617-1624 [doi]
- Evolving a digital multiplier with the pushgp genetic programming systemThomas Helmuth, Lee Spector. 1627-1634 [doi]
- Push-forth: a light-weight, strongly-typed, stack-based genetic programming languageMaarten Keijzer. 1635-1640 [doi]
- An evolutionary algorithm derived from Charles Sanders Peirce's theory of universal evolutionJunaid Akhtar, Mian M. Awais, Basit Bilal Koshul. 1643-1646 [doi]
- Towards optimal neuronal wiring through estimation of distribution algorithmsLaura Anton-Sanchez, Concha Bielza, Pedro Larrañaga. 1647-1650 [doi]
- Problems in the identification of base isolation systems from earthquake recordsAnastasia Athanasiou, Giuseppe Oliveto, Mineo Takayama, Keiko Morita. 1651-1654 [doi]
- Generation of tests for programming challenge tasks using multi-objective optimizationMaxim Buzdalov, Arina Buzdalova, Irina Petrova. 1655-1658 [doi]
- Enhancing invasive weed optimization with taboo strategyZhigang Ren, Wen Chen, Aimin Zhang, Chao Zhang. 1659-1662 [doi]
- A service oriented evolutionary architecture: applications and resultsPablo García-Sánchez. 1663-1666 [doi]
- Combinatorial optimization EDA using hidden Markov modelsMarc-André Gardner, Christian Gagné, Marc Parizeau. 1667-1670 [doi]
- Design of a parallel immune algorithm based on the germinal center reactionAyush Joshi. 1671-1674 [doi]
- From size perception to counting: an evolutionary computation point of viewGali Katz, Amit Benbassat, Liana Diesendruck, Moshe Sipper, Avishai Henik. 1675-1678 [doi]
- Testing of the multi-objective alliance algorithm on benchmark functionsValerio Lattarulo, Geoffrey T. Parks. 1679-1682 [doi]
- Quantitative analysis of the hall of fame coevolutionary archivesPawel Liskowski. 1683-1686 [doi]
- Genetic participatory algorithm and system modelingYi-Ling Liu, Fernando Gomide. 1687-1690 [doi]
- Optimization of weighted vector directional filters using an interactive evolutionary algorithmJoseph James Mist, Stuart James Gibson. 1691-1694 [doi]
- Applying evolutionary computation to harness passive material properties in robotsJared M. Moore. 1695-1698 [doi]
- Directed search method for indicator-based multi-objective evolutionary algorithmsVictor Adrian Sosa-Hernandez, Oliver Schütze, Günter Rudolph, Heike Trautmann. 1699-1702 [doi]
- Differential evolution strategies with random forest regression in the bat algorithmIztok Fister Jr., Dusan Fister, Iztok Fister. 1703-1706 [doi]
- Evolving multicellularity in digital organisms through reproductive altruismJack Hessel, Sherri Goings. 1707-1710 [doi]
- An efficient evolutionary programming algorithm using mixed mutation operators for numerical optimizationSaif Ahmed, Md. Tanvir Alam Anik, K. M. Rakibul Islam. 1711-1712 [doi]
- Development and investigation of biologically inspired algorithms cooperation metaheuristicAkhmedova Shakhnaz, Andrey Shabalov. 1713-1714 [doi]
- Model guided sampling optimization with gaussian processes for expensive black-box optimizationLukás Bajer, Viktor Charypar, Martin Holena. 1715-1716 [doi]
- Toward an optimized arabic keyboard design for single-pointer applicationsAbir Benabid-Najjar. 1717-1718 [doi]
- Evolving artificial neural networks with FINCHAmit Benbassat, Moshe Sipper. 1719-1720 [doi]
- Performance improvement in genetic programming using modified crossover and node mutationArpit Bhardwaj, Aruna Tiwari. 1721-1722 [doi]
- Adapting evolutionary algorithms to the concurrent functional language ErlangJ. Albert Cruz, Juan Julián Merelo Guervós, Antonio Mora García, Paloma de las Cuevas. 1723-1724 [doi]
- Bipartite networks to study the genotype-to-phenotype relationship in cellular automata modelsChristian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore. 1725-1726 [doi]
- A heuristiclab evolutionary algorithm for FINCHAchiya Elyasaf, Michael Orlov, Moshe Sipper. 1727-1728 [doi]
- Hunting search algorithm based design optimization of steel cellular beamsErkan Dogan, Ferhat Erdal. 1729-1730 [doi]
- Optimizing investment strategies based on companies earnings using genetic algorithmsJorge Fonseca, Rui Ferreira Neves, Nuno Horta. 1731-1732 [doi]
- Exploring automated software composition with genetic programmingErik M. Fredericks, Betty H. C. Cheng. 1733-1734 [doi]
- Network protocol identification ensemble with EA optimizationRyan G. Goss, Geoff S. Nitschke. 1735-1736 [doi]
- A robust real-coded genetic algorithm using an ensemble of crossover operatorsJeonghwan Gwak, Moongu Jeon. 1737-1738 [doi]
- Quality versus quantity of rules in a classifier jury: extended abstractJeffrey Horn, Matthew J. Holliday, Dylan J. Elliott, Joshua A. Chomicki, David A. Pfeiffer, Steven M. Scheel, Lewis D. Steiner, Erik P. Wisuri, James M. Zeits, Jordan M. Bal, Chelsea G. Burton, Micah A. Erickson, Nicholas D. McIntyre-Wyma. 1739-1740 [doi]
- GP bowtie > bowtie2 > BWAW. B. Langdon. 1741-1742 [doi]
- A novel meta-heuristic based on soccer concepts to solve routing problemsEneko Osaba, Fernando Díaz, Enrique Onieva. 1743-1744 [doi]
- Sunspots modelling: comparison of GP approachesKatya Rodriguez-vazquez. 1745-1746 [doi]
- Enhancing distributed EAs using proactivityCarolina Salto, Francisco Luna, Enrique Alba. 1747-1748 [doi]
- Fault-tolerance of distributed genetic algorithms on many-core processorsYuji Sato, Mikiko Sato. 1749-1750 [doi]
- Parallel version of self-configuring genetic algorithm application in spacecraft control system designMaria Semenkina. 1751-1752 [doi]
- A preliminary study of crowding with biased crossoverShigeyoshi Tsutsui, Noriyuki Fujimoto. 1753-1754 [doi]
- A study on the importance of selection pressure and low dimensional weak learners to produce robust ensemblesDanilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata. 1755-1756 [doi]
- Indicator selection for daily equity trading with recurrent reinforcement learningJin Zhang, Dietmar Maringer. 1757-1758 [doi]
- Software engineering: an ideal set of challenges for evolutionary computationMark Harman. 1759-1760 [doi]
- Challenges and opportunities in dynamic optimisationXin Yao. 1761-1762 [doi]