Table of Contents

• An improved multi-start particle swarm-based algorithm for protein structure comparisonHazem Radwan Ahmed, Janice I. Glasgow. 1-8 [doi]
• SPSO 2011: analysis of stability; local convergence; and rotation sensitivityMohammad Reza Bonyadi, Zbigniew Michalewicz. 9-16 [doi]
• Identifying and exploiting the scale of a search space in particle swarm optimizationYasser González-Fernández, Stephen Chen. 17-24 [doi]
• Stepsize control on the modified bacterial foraging algorithm for constrained numerical optimizationBetania Hernández-Ocaña, Maria del Pilar Pozos Parra, Efrén Mezura-Montes. 25-32 [doi]
• A tribal ecosystem inspired algorithm (TEA) for global optimizationYing Lin, Jingjing Li, Jun Zhang 0003, Meng Wan. 33-40 [doi]
• Energy aware virtual machine placement scheduling in cloud computing based on ant colony optimization approachXiao-fang Liu, Zhi-hui Zhan, Ke-Jing Du, Wei-neng Chen. 41-48 [doi]
• Consensus costs and conflict in a collective movementTimothy Solum, Brent E. Eskridge, Ingo Schlupp. 49-56 [doi]
• Ant colony optimization with group learningGunnar Völkel, Markus Maucher, Uwe Schöning, Hans A. Kestler. 57-64 [doi]
• Anticipatory stigmergic collision avoidance under noiseFriedrich Burkhard von der Osten, Michael Kirley, Tim Miller. 65-72 [doi]
• Differential evolution using mutation strategy with adaptive greediness degree controlWei jie Yu, Jing-jing Li, Jun Zhang, Meng Wan. 73-80 [doi]
• Constrained multi-objective aerodynamic shape optimization via swarm intelligenceSaúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello. 81-88 [doi]
• Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolutionChuan-Bin Zhang, Yue-jiao Gong, Jing-jing Li, Ying Lin. 89-96 [doi]
• A two-leveled hybrid dendritic cell algorithm under imprecise reasoningZeineb Chelly, Zied Elouedi. 97-104 [doi]
• Clonal selection based fuzzy C-means algorithm for clusteringSimone A. Ludwig. 105-112 [doi]
• On the runtime analysis of stochastic ageing mechanismsPietro Simone Oliveto, Dirk Sudholt. 113-120 [doi]
• An improved immune inspired hyper-heuristic for combinatorial optimisation problemsKevin Sim, Emma Hart. 121-128 [doi]
• A generic finite automata based approach to implementing lymphocyte repertoire modelsJohannes Textor, Katharina Dannenberg, Maciej Liskiewicz. 129-136 [doi]
• Adapting to a changing environment using winner and loser effectsJeremy Acre, Brent E. Eskridge, Nicholas Zoller, Ingo Schlupp. 137-144 [doi]
• Evolution of biologically plausible neural networks performing a visually guided reaching taskDerrik E. Asher, Jeffrey L. Krichmar, Nicolas Oros. 145-152 [doi]
• Evolution of honest signaling by social punishmentDavid Catteeuw, The Anh Han, Bernard Manderick. 153-160 [doi]
• Automated generation of environments to test the general learning capabilities of AI agentsOliver J. Coleman, Alan D. Blair, Jeff Clune. 161-168 [doi]
• Evolution of communication and cooperationJason Fairey, Terence Soule. 169-176 [doi]
• The evolution of kin inclusivity levelsAnya Elaine Johnson, Heather J. Goldsby, Sherri Goings, Charles Ofria. 177-184 [doi]
• Overcoming deception in evolution of cognitive behaviorsJoel Lehman, Risto Miikkulainen. 185-192 [doi]
• Encouraging creative thinking in robots improves their ability to solve challenging problemsJingyu Li, Jed Storie, Jeff Clune. 193-200 [doi]
• Coevolutionary learning of swarm behaviors without metricsWei Li, Melvin Gauci, Roderich Gross. 201-208 [doi]
• Evolving joint-level control with digital musclesJared M. Moore, Philip K. McKinley. 209-216 [doi]
• Directional communication in evolved multiagent teamsJustin K. Pugh, Skyler Goodell, Kenneth O. Stanley. 217-224 [doi]
• Generational neuro-evolution: restart and retry for improvementDavid Peter Shorten, Geoff S. Nitschke. 225-232 [doi]
• A novel human-computer collaboration: combining novelty search with interactive evolutionBrian G. Woolley, Kenneth O. Stanley. 233-240 [doi]
• Wolfpack-inspired evolutionary algorithm and a reaction-diffusion-based controller are used for pattern formationPayam Zahadat, Thomas Schmickl. 241-248 [doi]
• Multiple feature construction for effective biomarker identification and classification using genetic programmingSoha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue. 249-256 [doi]
• Enhancing genetic algorithm-based genome-scale metabolic network curation efficiencyEddy J. Bautista, Ranjan Srivastava. 257-264 [doi]
• GA-based selection of vaginal microbiome features associated with bacterial vaginosisJoi Carter, Daniel Beck, Henry Williams, Gerry V. Dozier, James A. Foster. 265-268 [doi]
• Predicting patterns of gene expression during drosophila embryogenesisRotem Golan, Christian Jacob, Savraj Grewal, Jörg Denzinger. 269-276 [doi]
• Multiple graph edit distance: simultaneous topological alignment of multiple protein-protein interaction networks with an evolutionary algorithmRashid Ibragimov, Maximilian Malek, Jan Baumbach, Jiong Guo. 277-284 [doi]
• Virtual photography using multi-objective particle swarm optimizationWilliam Barry, Brian J. Ross. 285-292 [doi]
• Monte Mario: platforming with MCTSEmil Juul Jacobsen, Rasmus Greve, Julian Togelius. 293-300 [doi]
• Semantic aware methods for evolutionary artPenousal Machado, João Correia. 301-308 [doi]
• Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programmingMatthieu Macret, Philippe Pasquier. 309-316 [doi]
• EVOR: an online evolutionary algorithm for car racing gamesSamadhi Nallaperuma, Frank Neumann, Mohammad Reza Bonyadi, Zbigniew Michalewicz. 317-324 [doi]
• Evolving multimodal behavior with modular neural networks in Ms. Pac-ManJacob Schrum, Risto Miikkulainen. 325-332 [doi]
• Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit stringsLee A. Christie, John A. W. McCall, David P. Lonie. 333-340 [doi]
• Solving building block problems using generative grammarChris R. Cox, Richard A. Watson. 341-348 [doi]
• Estimation of distribution algorithm using factor graph and Markov blanket canonical factorizationBentolhoda Helmi, Adel Torkaman Rahmani. 349-356 [doi]
• Multi-objective gene-pool optimal mixing evolutionary algorithmsHoang Ngoc Luong, Han La Poutré, Peter A. N. Bosman. 357-364 [doi]
• Multimodality and the linkage-learning difficulty of additively separable functionsJean Paulo Martins, Alexandre C. B. Delbem. 365-372 [doi]
• Comparison-based natural gradient optimization in high dimensionYouhei Akimoto, Anne Auger, Nikolaus Hansen. 373-380 [doi]
• Halfspace sampling in evolution strategiesChun-Kit Au, Ho-Fung Leung. 381-388 [doi]
• Handling sharp ridges with local supremum transformationsTobias Glasmachers. 389-396 [doi]
• A computationally efficient limited memory CMA-ES for large scale optimizationIlya Loshchilov. 397-404 [doi]
• Evolutionary algorithms for overlapping correlation clusteringCarlos E. Andrade, Mauricio G. C. Resende, Howard J. Karloff, Flávio Keidi Miyazawa. 405-412 [doi]
• On the efficiency of worst improvement for climbing NK-landscapesMatthieu Basseur, Adrien Goëffon. 413-420 [doi]
• Socially inspired algorithms for the travelling thief problemMohammad Reza Bonyadi, Zbigniew Michalewicz, Michao Roman Przybyoek, Adam Wierzbicki. 421-428 [doi]
• NSGA-II with iterated greedy for a bi-objective three-stage assembly flowshop scheduling problemSaulo Cunha Campos, José Elias Claudio Arroyo. 429-436 [doi]
• Efficient identification of improving moves in a ball for pseudo-boolean problemsFrancisco Chicano, Darrell Whitley, Andrew M. Sutton. 437-444 [doi]
• A hybrid incremental genetic algorithm for subgraph isomorphism problemHyukgeun Choi, Jinhyun Kim, Byung Ro Moon. 445-452 [doi]
• Data-driven local optima network characterization of QAPLIB instancesDavid Iclanzan, Fabio Daolio, Marco Tomassini. 453-460 [doi]
• A heuristic approach to schedule reoptimization in the context of interactive optimizationDavid Meignan. 461-468 [doi]
• Static vs. dynamic populations in genetic algorithms for coloring a dynamic graphCara Monical, Forrest Stonedahl. 469-476 [doi]
• A comprehensive benchmark set and heuristics for the traveling thief problemSergey Polyakovskiy, Mohammad Reza Bonyadi, Markus Wagner 0007, Zbigniew Michalewicz, Frank Neumann. 477-484 [doi]
• Performance of metropolis algorithm for the minimum weight code word problemAjitha Shenoy K. B, Somenath Biswas, Piyush P. Kurur. 485-492 [doi]
• Asymmetric quadratic landscape approximation modelAlexandru-Adrian Tantar, Emilia Tantar, Oliver Schütze. 493-500 [doi]
• Generalized asymmetric partition crossover (GAPX) for the asymmetric TSPRenato Tinós, Darrell Whitley, Gabriela Ochoa. 501-508 [doi]
• Revised analysis of the (1+1) ea for the minimum spanning tree problemCarsten Witt. 509-516 [doi]
• Simultaneous generation of prototypes and features through genetic programmingMauricio Garcia-Limon, Hugo Jair Escalante, Eduardo F. Morales, Alicia Morales-Reyes. 517-524 [doi]
• Salient object detection using learning classifiersystems that compute action mappingsMuhammad Iqbal 0001, Syed Saud Naqvi, Will N. Browne, Christopher Hollitt, Mengjie Zhang. 525-532 [doi]
• SAX-EFG: an evolutionary feature generation framework for time series classificationUday Kamath, Jessica Lin, Kenneth A. De Jong. 533-540 [doi]
• Evolving deep unsupervised convolutional networks for vision-based reinforcement learningJan Koutník, Jürgen Schmidhuber, Faustino J. Gomez. 541-548 [doi]
• Three-cornered coevolution learning classifier systems for classification tasksSyahaneim Marzukhi, Will N. Browne, Mengjie Zhang. 549-556 [doi]
• Complete action map or best action map in accuracy-based reinforcement learning classifier systemsMasaya Nakata, Pier Luca Lanzi, Tim Kovacs, Keiki Takadama. 557-564 [doi]
• A modified XCS classifier system for sequence labelingMasaya Nakata, Tim Kovacs, Keiki Takadama. 565-572 [doi]
• A memetic algorithm to select training data for support vector machinesJakub Nalepa, Michal Kawulok. 573-580 [doi]
• Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problemsNessrine Azzouz, Slim Bechikh, Lamjed Ben Said. 581-588 [doi]
• Two-dimensional subset selection for hypervolume and epsilon-indicatorKarl Bringmann, Tobias Friedrich, Patrick Klitzke. 589-596 [doi]
• Improving many-objective optimization performance by sequencing evolutionary algorithmsMartin Dohr, Bernd Eichberger. 597-604 [doi]
• Efficiently identifying pareto solutions when objective values changeJonathan E. Fieldsend, Richard M. Everson. 605-612 [doi]
• The parameter optimization of kalman filter based on multi-objective memetic algorithmYu Dan Huo, Zhi-Hua Cai, Wen Yin Gong, Qin Liu. 613-620 [doi]
• A framework for the study of preference incorporation in multiobjective evolutionary algorithmsRaluca Iordache, Serban Iordache, Florica Moldoveanu. 621-628 [doi]
• Controlling selection area of useful infeasible solutions and their archive for directed mating in evolutionary constrained multiobjective optimizationMinami Miyakawa, Keiki Takadama, Hiroyuki Sato. 629-636 [doi]
• Hypervolume-based local search in multi-objective evolutionary optimizationMartin Pilát, Roman Neruda. 637-644 [doi]
• Inverted PBI in MOEA/D and its impact on the search performance on multi and many-objective optimizationHiroyuki Sato. 645-652 [doi]
• Hybridization of electromagnetism with multi-objective evolutionary algorithms for RCPSPJing Xiao, Zhou Wu, Jian-Chao Tang. 653-660 [doi]
• An improved NSGA-III procedure for evolutionary many-objective optimizationYuan Yuan, Hua Xu, Bo Wang. 661-668 [doi]
• Evolutionary many-objective optimization using ensemble fitness rankingYuan Yuan, Hua Xu, Bo Wang. 669-676 [doi]
• There and back again: gene-processing hardware for the evolution and robotic deployment of robust navigation strategiesDavid M. Bryson, Aaron P. Wagner, Charles Ofria. 689-696 [doi]
• Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost techniqueJoost Huizinga, Jeff Clune, Jean-Baptiste Mouret. 697-704 [doi]
• Trading control intelligence for physical intelligence: muscle drives in evolved virtual creaturesDan Lessin, Don Fussell, Risto Miikkulainen. 705-712 [doi]
• Guided self-organization in indirectly encoded and evolving topographic mapsSebastian Risi, Kenneth O. Stanley. 713-720 [doi]
• Some distance measures for morphological diversification in generative evolutionary roboticsEivind Samuelsen, Kyrre Glette. 721-728 [doi]
• Growth in co-evolution of sensory system and signal processing for optimal wing controlOlga Smalikho, Markus Olhofer. 729-736 [doi]
• Novelty search creates robots with general skills for explorationRoby Velez, Jeff Clune. 737-744 [doi]
• A continuous developmental model for wind farm layout optimizationDennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Hervé Luga. 745-752 [doi]
• Monotonic functions in EC: anything but monotone!Sylvain Colin, Benjamin Doerr, Gaspard Férey. 753-760 [doi]
• Adaptive-surrogate based on a neuro-fuzzy network and granular computingIsrael Cruz-Vega, Mauricio Garcia-Limon, Hugo Jair Escalante. 761-768 [doi]
• Unbiased black-box complexities of jump functions: how to cross large plateausBenjamin Doerr, Carola Doerr, Timo Kötzing. 769-776 [doi]
• Runtime analysis for maximizing population diversity in single-objective optimizationWanru Gao, Frank Neumann. 777-784 [doi]
• Parameter-less population pyramidBrian W. Goldman, William F. Punch. 785-792 [doi]
• Genetic algorithm for sampling from scale-free data and networksPavel Krömer, Jan Platos. 793-800 [doi]
• Stochastic tunneling transformation during selection in genetic algorithmBenjamin E. Mayer, Kay Hamacher. 801-806 [doi]
• A fixed budget analysis of randomized search heuristics for the traveling salesperson problemSamadhi Nallaperuma, Frank Neumann, Dirk Sudholt. 807-814 [doi]
• From fitness landscape to crossover operator choiceStjepan Picek, Domagoj Jakobovic. 815-822 [doi]
• Evolving QWOP gaitsSteven Ray, Vahl Scott Gordon, Laurent Vaucher. 823-830 [doi]
• Search for maximal snake-in-the-box using new genetic algorithmKim-Hang Ruiz. 831-838 [doi]
• Feedback control for multi-modal optimization using genetic algorithmsJun Shi, Ole J. Mengshoel, Dipan K. Pal. 839-846 [doi]
• A bilevel optimization approach to automated parameter tuningAnkur Sinha, Pekka Malo, Peng Xu, Kalyanmoy Deb. 847-854 [doi]
• Learning the structure of large-scale bayesian networks using genetic algorithmFatemeh Vafaee. 855-862 [doi]
• Among-site rate variation: adaptation of genetic algorithm mutation rates at each single siteFatemeh Vafaee, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf. 863-870 [doi]
• Efficient global optimization for combinatorial problemsMartin Zaefferer, Jörg Stork, Martina Friese, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein. 871-878 [doi]
• Multiple regression genetic programmingIgnacio Arnaldo, Krzysztof Krawiec, Una-May O'Reilly. 879-886 [doi]
• GPU-parallel subtree interpreter for genetic programmingAlberto Cano 0001, Sebastián Ventura. 887-894 [doi]
• Kaizen programmingVinicius Veloso de Melo. 895-902 [doi]
• On size, complexity and generalisation error in GPJeannie Fitzgerald, Conor Ryan. 903-910 [doi]
• Asynchronously evolving solutions with excessively different evaluation time by reference-based evaluationTomohiro Harada, Keiki Takadama. 911-918 [doi]
• Word count as a traditional programming benchmark problem for genetic programmingThomas Helmuth, Lee Spector. 919-926 [doi]
• Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programmingRachel Hunt, Mark Johnston, Mengjie Zhang. 927-934 [doi]
• Behavioral programming: a broader and more detailed take on semantic GPKrzysztof Krawiec, Una-May O'Reilly. 935-942 [doi]
• Utilization of reductions and abstraction elimination in typed genetic programmingTomás Kren, Roman Neruda. 943-950 [doi]
• Improving 3D medical image registration CUDA software with genetic programmingWilliam B. Langdon, Marc Modat, Justyna Petke, Mark Harman. 951-958 [doi]
• Grammar-based genetic programming with dependence learning and bayesian network classifierPak-Kan Wong, Leung-Yau Lo, Man Leung Wong, Kwong-Sak Leung. 959-966 [doi]
• Neuro-evolutionary topology optimization of structures by utilizing local state featuresNikola Aulig, Markus Olhofer. 967-974 [doi]
• Evolutionary algorithms and artificial immune systems on a bi-stable dynamic optimisation problemThomas Jansen, Christine Zarges. 975-982 [doi]
• Derivative free optimization using a population-based stochastic gradient estimatorAzhar Khayrattee, Georgios C. Anagnostopoulos. 983-990 [doi]
• A novel population-based multi-objective CMA-ES and the impact of different constraint handling techniquesSílvio Miguel Fragoso Rodrigues, Pavol Bauer, Peter A. N. Bosman. 991-998 [doi]
• Use of explicit memory in the dynamic traveling salesman problemRenato Tinós, Darrell Whitley, Adele E. Howe. 999-1006 [doi]
• Solving GA-hard problems with EMMRS and GPGPUsJosé Ignacio Hidalgo, J. Manuel Colmenar, José Luis Risco-Martín, Carlos Sánchez-Lacruz, Juan Lanchares, Oscar Garnica, Josefa Díaz. 1007-1014 [doi]
• Towards highly optimized cartesian genetic programming: from sequential via SIMD and thread to massive parallel implementationRadek Hrbacek, Lukás Sekanina. 1015-1022 [doi]
• GPU-accelerated evolutionary design of the complete exchange communication on wormhole networksJirí Jaros, Radek Tyrala. 1023-1030 [doi]
• MapReduce-based optimization of overlay networks using particle swarm optimizationSimone A. Ludwig. 1031-1038 [doi]
• Enhancing parallel cooperative trajectory based metaheuristics with path relinkingGabriel Luque, Enrique Alba. 1039-1046 [doi]
• Design and analysis of adaptive migration intervals in parallel evolutionary algorithmsAndrea Mambrini, Dirk Sudholt. 1047-1054 [doi]
• An implicitly parallel EDA based on restricted boltzmann machinesMalte Probst, Franz Rothlauf, Jörn Grahl. 1055-1062 [doi]
• Playing regex golf with genetic programmingAlberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao. 1063-1070 [doi]
• The tradeoffs between data delivery ratio and energy costs in wireless sensor networks: a multi-objectiveevolutionary framework for protocol analysisDoina Bucur, Giovanni Iacca, Giovanni Squillero, Alberto Paolo Tonda. 1071-1078 [doi]
• Automated vibrational design and natural frequency tuning of multi-material structuresNicholas Cheney, Ethan Ritz, Hod Lipson. 1079-1086 [doi]
• Hierarchical simulation for complex domains: air traffic flow managementWilliam J. Curran, Adrian K. Agogino, Kagan Tumer. 1087-1094 [doi]
• Using an adaptive invasion-based model for fast range image registrationIvanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Umberto Scafuri, Ernesto Tarantino. 1095-1102 [doi]
• Recognizing planar kinematic mechanisms from a single image using evolutionary computationMatthew Eicholtz, Levent Burak Kara, Jason D. Lohn. 1103-1110 [doi]
• Passive solar building design using genetic programmingMohammad M. O. Gholami, Brian J. Ross. 1111-1118 [doi]
• Quantum inspired genetic algorithm for community structure detection in social networksShikha Gupta, Sheetal Taneja, Naveen Kumar. 1119-1126 [doi]
• Evolved spacecraft trajectories for low earth orbitDavid W. Hinckley Jr., Karol Zieba, Darren L. Hitt, Margaret J. Eppstein. 1127-1134 [doi]
• Dynamic multi-dimensional PSO with indirect encoding for proportional fair constrained resource allocationJonathan Hudson, Majid Ghaderi, Jörg Denzinger. 1135-1142 [doi]
• Genetic algorithms and deep learning for automatic painter classificationErez Levy, Omid E. David, Nathan S. Netanyahu. 1143-1150 [doi]
• Lithology discrimination using seismic elastic attributes: a genetic fuzzy classifier approachEric da Silva Praxedes, Adriano Soares Koshiyama, Elita Selmara Abreu, Douglas Mota Dias, Marley Maria Bernardes Rebuzzi Vellasco, Marco Aurélio Cavalcanti Pacheco. 1151-1158 [doi]
• Evolutionary parameter estimation for a theory of planned behaviour microsimulation of alcohol consumption dynamics in an English birth cohort 2003 to 2010Robin C. Purshouse, Abdallah K. Ally, Alan Brennan, Daniel Moyo, Paul Norman. 1159-1166 [doi]
• Evolutionary algorithms for classification of malware families through different network behaviorsM. Zubair Rafique, Ping Chen, Christophe Huygens, Wouter Joosen. 1167-1174 [doi]
• Multi-objective routing optimisation for battery-powered wireless sensor mesh networksAlma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend. 1175-1182 [doi]
• Applying GA with local search by taking hamming distances into consideration to credit erasure processing problemsYuji Sato, Yusuke Oku, Masanori Fukuda. 1183-1190 [doi]
• Genetic algorithm-based solver for very large multiple jigsaw puzzles of unknown dimensions and piece orientationDror Sholomon, Omid E. David, Ramat-Gan S. Netanyahu. 1191-1198 [doi]
• On homogenization of coal in longitudinal blending bedsPradyumn Kumar Shukla, Michael P. Cipold, Claus C. Bachmann, Hartmut Schmeck. 1199-1206 [doi]
• Eco-friendly reduction of travel times in european smart citiesDaniel H. Stolfi, Enrique Alba. 1207-1214 [doi]
• Evolutionary agent-based simulation of the introduction of new technologies in air traffic managementLogan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer. 1215-1222 [doi]
• Tuning multi-objective optimization algorithms for cyclone dust separatorsMartin Zaefferer, Beate Breiderhoff, Boris Naujoks, Martina Friese, Jörg Stork, Andreas Fischbach, Oliver Flasch, Thomas Bartz-Beielstein. 1223-1230 [doi]
• Improved heuristics for solving OCL constraints using search algorithmsShaukat Ali, Muhammad Zohaib Iqbal, Andrea Arcuri. 1231-1238 [doi]
• Surrogate-assisted optimisation of composite applications in mobile ad hoc networksDionysios Efstathiou, Peter McBurney, Steffen Zschaler, Johann Bourcier. 1239-1246 [doi]
• Robust next release problem: handling uncertainty during optimizationLingbo Li, Mark Harman, Emmanuel Letier, Yuanyuan Zhang. 1247-1254 [doi]
• A parallel evolutionary algorithm for prioritized pairwise testing of software product linesRoberto Erick Lopez-Herrejon, Javier Ferrer, Francisco Chicano, Evelyn Nicole Haslinger, Alexander Egyed, Enrique Alba. 1255-1262 [doi]
• High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-IIIMohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel Ó Cinnéide. 1263-1270 [doi]
• Comparing search techniques for finding subtle higher order mutantsElmahdi Omar, Sudipto Ghosh, Darrell Whitley. 1271-1278 [doi]
• Generating structured test data with specific properties using nested Monte-Carlo searchSimon M. Poulding, Robert Feldt. 1279-1286 [doi]
• On the performance of multiple objective evolutionary algorithms for software architecture discoveryAurora Ramirez, José Raúl Romero, Sebastián Ventura. 1287-1294 [doi]
• Applying search algorithms for optimizing stakeholders familiarity and balancing workload in requirements assignmentTao Yue, Shaukat Ali. 1295-1302 [doi]
• Fair-share ILS: a simple state-of-the-art iterated local search hyperheuristicSteven Adriaensen, Tim Brys, Ann Nowé. 1303-1310 [doi]
• A grammatical evolution based hyper-heuristic for the automatic design of split criteriaMárcio Porto Basgalupp, Rodrigo Coelho Barros, Tiago Barabasz. 1311-1318 [doi]
• Generic parameter control with reinforcement learningGiorgos Karafotias, Ágoston E. Eiben, Mark Hoogendoorn. 1319-1326 [doi]
• Evolvability metrics in adaptive operator selectionJorge Alberto Soria-Alcaraz, Gabriela Ochoa, Juan Martín Carpio, Héctor Puga. 1327-1334 [doi]
• On the pathological behavior of adaptive differential evolution on hybrid objective functionsRyoji Tanabe, Alex S. Fukunaga. 1335-1342 [doi]
• Analysis of evolutionary algorithms using multi-objective parameter tuningRoberto Ugolotti, Stefano Cagnoni. 1343-1350 [doi]
• Online model racing based on extreme performanceTiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos. 1351-1358 [doi]
• Evolution under partial informationDuc-Cuong Dang, Per Kristian Lehre. 1359-1366 [doi]
• Refined upper bounds on the expected runtime of non-elitist populations from fitness-levelsDuc-Cuong Dang, Per Kristian Lehre. 1367-1374 [doi]
• The impact of random initialization on the runtime of randomized search heuristicsBenjamin Doerr, Carola Doerr. 1375-1382 [doi]
• Robustness of populations in stochastic environmentsChristian Gießen, Timo Kötzing. 1383-1390 [doi]
• Concentration of first hitting times under additive driftTimo Kötzing. 1391-1398 [doi]
• MMAS vs. population-based EA on a family of dynamic fitness functionsAndrei Lissovoi, Carsten Witt. 1399-1406 [doi]
• Model-optimal optimization by solving bellman equationsAlan J. Lockett. 1407-1414 [doi]
• A theoretical analysis of volume based Pareto front approximationsPradyumn Kumar Shukla, Nadja Doll, Hartmut Schmeck. 1415-1422 [doi]
• Gaussian mixture model of evolutionary algorithmsBo Song, Victor O. K. Li. 1423-1430 [doi]
• Superpolynomial lower bounds for the (1+1) EA on some easy combinatorial problemsAndrew M. Sutton. 1431-1438 [doi]
• Runtime analysis to compare best-improvement and first-improvement in memetic algorithmsKuai Wei, Michael J. Dinneen. 1439-1446 [doi]