Abstract is missing.
- Computational approaches in cancer genomicsFrancesca D. Ciccarelli. 1 [doi]
- Curious and creative machinesHod Lipson. 2 [doi]
- Evolving brains in evolving environmentsDrew Purves, Chrisantha Fernando. 3 [doi]
- CycloAnt: sequencing cyclic peptides using hybrid antsSujata Baral, Swakkhar Shatabda, Mahmood A. Rashid. 4-11 [doi]
- Fitness-distance-ratio particle swarm optimization: stability analysisChristopher Wesley Cleghorn, Andries P. Engelbrecht. 12-18 [doi]
- Analysis of independent roulette selection in parallel ant colony optimizationHuw Lloyd, Martyn Amos. 19-26 [doi]
- Coordinating a team of searchers: of ants, swarms, and slime moldsSilja Meyer-Nieberg. 27-34 [doi]
- RSara Perez-Carabaza, Julian Bermudez-Ortega, Eva Besada-Portas, José Antonio López Orozco, Jesús Manuel de la Cruz. 35-42 [doi]
- Estimating stop conditions of swarm based stochastic metaheuristic algorithmsPeter Frank Perroni, Daniel Weingaertner, Myriam Regattieri Delgado. 43-50 [doi]
- PSO-based parameters selection for the bilateral filter in image denoisingChengyan Wang, Bing Xue, Lin Shang. 51-58 [doi]
- Evolutionary optimization of self-assembly in a swarm of bio-micro-robotsNathanaël Aubert-Kato, Charles Fosseprez, Guillaume Gines, Ibuki Kawamata, Huy Q. Dinh, Leo Cazenille, Andre Estevez-Torres, Masami Hagiya, Yannick Rondelez, Nicolas Bredeche. 59-66 [doi]
- Minimal criterion coevolution: a new approach to open-ended searchJonathan C. Brant, Kenneth O. Stanley. 67-74 [doi]
- On the runtime analysis of the opt-IA artificial immune systemDogan Corus, Pietro Simone Oliveto, Donya Yazdani. 83-90 [doi]
- A comparison of genetic regulatory network dynamics and encodingJean Disset, Dennis G. Wilson, Sylvain Cussat-Blanc, Stéphane Sanchez, Hervé Luga, Yves Duthen. 91-98 [doi]
- Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illuminationAdam Gaier, Alexander Asteroth, Jean-Baptiste Mouret. 99-106 [doi]
- Coupling novelty and surprise for evolutionary divergenceDaniele Gravina, Antonios Liapis, Georgios N. Yannakakis. 107-114 [doi]
- Alternate social theory discovery using genetic programming: towards better understanding the artificial anasaziChathika Gunaratne, Ivan Garibay. 115-122 [doi]
- On self-adaptive rate restarts for evolutionary robotics with real rotorcraftGerard David Howard. 123-130 [doi]
- A minimal developmental model can increase evolvability in soft robotsSam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard. 131-138 [doi]
- Discovering evolutionary stepping stones through behavior dominationElliot Meyerson, Risto Miikkulainen. 139-146 [doi]
- Effect of animat complexity on the evolution of hierarchical controlJared M. Moore, Anthony J. Clark, Philip K. McKinley. 147-154 [doi]
- An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm roboticsAndreas Steyven, Emma Hart, Ben Paechter. 155-162 [doi]
- Vascular morphogenesis controller: a generative model for developing morphology of artificial structuresPayam Zahadat, Daniel Nicolas Hofstadler, Thomas Schmickl. 163-170 [doi]
- Evolution of artistic image variants through feature based diversity optimisationBradley Alexander, James Kortman, Aneta Neumann. 171-178 [doi]
- Comparing direct and indirect encodings using both raw and hand-designed features in tetrisLauren E. Gillespie, Gabriela R. Gonzalez, Jacob Schrum. 179-186 [doi]
- Continual online evolutionary planning for in-game build order adaptation in StarCraftNiels Justesen, Sebastian Risi. 187-194 [doi]
- Multi-task learning in Atari video games with emergent tangled program graphsStephen Kelly, Malcolm I. Heywood. 195-202 [doi]
- Multi-segment evolution of dungeon game levelsAntonios Liapis. 203-210 [doi]
- Can you feel it?: evaluation of affective expression in music generated by MetaComposeMarco Scirea, Peter W. Eklund, Julian Togelius, Sebastian Risi. 211-218 [doi]
- Parameter-less late acceptance hill-climbingMosab Bazargani, Fernando G. Lobo. 219-226 [doi]
- Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problemAymeric Blot, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion. 227-234 [doi]
- Approximating optimization problems using EAs on scale-free networksAnkit Chauhan, Tobias Friedrich 0001, Francesco Quinzan. 235-242 [doi]
- Configuring irace using surrogate configuration benchmarksNguyen-Dang, Leslie Pérez Cáceres, Patrick De Causmaecker, Thomas Stützle. 243-250 [doi]
- Hybrid metaheuristic for combinatorial optimization based on immune network for optimization and VNSRodney O. M. Diana, Sergio R. de Souza, Elizabeth F. Wanner, Moacir F. França Filho. 251-258 [doi]
- Community structure detection in multipartite networks: a new fitness measureNoémi Gaskó, Florentin Bota, Mihai Alexandru Suciu, Rodica Ioana Lung. 259-265 [doi]
- Shaping communities of local optima by perturbation strengthSebastian Herrmann, Matthias Herrmann, Gabriela Ochoa, Franz Rothlauf. 266-273 [doi]
- Multimodal truss structure design using bilevel and niching based evolutionary algorithmsMd. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb. 274-281 [doi]
- Toward evolving dispatching rules for dynamic job shop scheduling under uncertaintyDeepak Karunakaran, Yi Mei, Gang Chen 0002, Mengjie Zhang. 282-289 [doi]
- Automated heuristic design using genetic programming hyper-heuristic for uncertain capacitated arc routing problemYuxin Liu, Yi Mei, Mengjie Zhang, Zili Zhang. 290-297 [doi]
- Combining two local searches with crossover: an efficient hybrid algorithm for the traveling salesman problemWeichen Liu, Thomas Weise, Yuezhong Wu, Qi Qi. 298-305 [doi]
- Evolutionary algorithms for the design of orthogonal latin squares based on cellular automataLuca Mariot, Stjepan Picek, Domagoj Jakobovic, Alberto Leporati. 306-313 [doi]
- Heuristic rope team: a parallel algorithm for graph coloringLaurent Moalic, Alexandre Gondran. 314-320 [doi]
- Just-in-time batch scheduling problem with two-dimensional bin packing constraintsSergey Polyakovskiy, Alexander Makarowsky, Rym M'Hallah. 321-328 [doi]
- Building a better heuristic for the traveling salesman problem: combining edge assembly crossover and partition crossoverDanilo Sanches, Darrell Whitley, Renato Tinós. 329-336 [doi]
- Improving an exact solver for the traveling salesman problem using partition crossoverDanilo Sanches, Darrell Whitley, Renato Tinós. 337-344 [doi]
- k-way node separatorsPeter Sanders 0001, Christian Schulz 0003, Darren Strash, Robert Williger. 345-352 [doi]
- Fragment-based genetic programming for fully automated multi-objective web service compositionAlexandre Sawczuk da Silva, Yi Mei, Hui Ma, Mengjie Zhang. 353-360 [doi]
- On feasible and infeasible search for equitable graph coloringWen Sun, Jin-Kao Hao, Xiangjing Lai, Qinghua Wu. 369-376 [doi]
- Comparing communities of optima with funnels in combinatorial fitness landscapesSarah L. Thomson, Fabio Daolio, Gabriela Ochoa. 377-384 [doi]
- Feature selection using stochastic diffusion searchHaya Abdullah Alhakbani, Mohammad Majid al-Rifaie. 385-392 [doi]
- Sensitivity-like analysis for feature selection in genetic programmingGrant Dick. 401-408 [doi]
- PAC models in stochastic multi-objective multi-armed banditsMadalina M. Drugan. 409-416 [doi]
- Biogeography-based rule mining for classificationEffat Farhana, Steffen Heber. 417-424 [doi]
- Evolving parsimonious networks by mixing activation functionsAlexander Hagg, Maximilian Mensing, Alexander Asteroth. 425-432 [doi]
- Automatic design of ant-miner mixed attributes for classification rule discoveryAyah Helal, Fernando E. B. Otero. 433-440 [doi]
- Evolving memory-augmented neural architecture for deep memory problemsShauharda Khadka, Jen Jen Chung, Kagan Tumer. 441-448 [doi]
- GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approachAndrew Lensen, Bing Xue, Mengjie Zhang. 449-456 [doi]
- Accelerating coevolution with adaptive matrix factorizationPawel Liskowski, Wojciech Jaskowski. 457-464 [doi]
- Neuroevolution on the edge of chaosFilip Matzner. 465-472 [doi]
- Theoretical XCS parameter settings of learning accurate classifiersMasaya Nakata, Will N. Browne, Tomoki Hamagami, Keiki Takadama. 473-480 [doi]
- Particle swarm optimization for hyper-parameter selection in deep neural networksPablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Sánchez Ramos, José Ranilla Pastor. 481-488 [doi]
- Toward the automated analysis of complex diseases in genome-wide association studies using genetic programmingAndrew Sohn, Randal S. Olson, Jason H. Moore. 489-496 [doi]
- A genetic programming approach to designing convolutional neural network architecturesMasanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao. 497-504 [doi]
- Automatic adjustment of selection pressure based on range of reward in learning classifier systemTakato Tatsumi, Hiroyuki Sato, Keiki Takadama. 505-512 [doi]
- An evolutionary algorithm for discovering multi-relational association rules in the semantic webTran Duc Minh, Claudia d'Amato, Binh Thanh Nguyen, Andrea G. B. Tettamanzi. 513-520 [doi]
- Multiple imputation and genetic programming for classification with incomplete dataCao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. 521-528 [doi]
- Solving test case based problems with fuzzy dominanceJason Zutty, Gregory Rohling. 529-536 [doi]
- The multi-objective real-valued gene-pool optimal mixing evolutionary algorithmAnton Bouter, Ngoc Hoang Luong, Cees Witteveen, Tanja Alderliesten, Peter A. N. Bosman. 537-544 [doi]
- Multimodal scalarized preferences in multi-objective optimizationMarlon Alexander Braun, Lars Heling, Pradyumn Kumar Shukla, Hartmut Schmeck. 545-552 [doi]
- Speeding up evolutionary multi-objective optimisation through diversity-based parent selectionEdgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt. 553-560 [doi]
- On the importance of isolated solutions in constrained decomposition-based many-objective optimizationMaha Elarbi, Slim Bechikh, Lamjed Ben Said. 561-568 [doi]
- Robust multiobjective optimization using regression models and linear subproblemsFillipe Goulart, Sílvio T. Borges, Fernanda C. Takahashi, Felipe Campelo. 569-576 [doi]
- A hyper-heuristic of scalarizing functionsRaquel Hernández Gómez, Carlos A. Coello Coello. 577-584 [doi]
- Reference point specification in hypervolume calculation for fair comparison and efficient searchHisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima. 585-592 [doi]
- Progressively adding objectives: a case study in anomaly detectionLuis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer. 593-600 [doi]
- Simulation-based crossover for the firefighter problemKrzysztof Michalak. 601-608 [doi]
- Closed state model for understanding the dynamics of MOEAsHugo Monzón, Hernán E. Aguirre, Sébastien Vérel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. 609-616 [doi]
- Multiobjective data mining from solutions by evolutionary multiobjective optimizationYusuke Nojima, Yuki Tanigaki, Hisao Ishibuchi. 617-624 [doi]
- Metamodeling for multimodal selection functions in evolutionary multi-objective optimizationProteek Chandan Roy, Rayan Hussein, Kalyanmoy Deb. 625-632 [doi]
- Benchmarking MOEAs for multi- and many-objective optimization using an unbounded external archiveRyoji Tanabe, Akira Oyama. 633-640 [doi]
- Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regressionMengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang. 641-648 [doi]
- Improved incremental non-dominated sorting for steady-state evolutionary multiobjective optimizationIlya Yakupov, Maxim Buzdalov. 649-656 [doi]
- Deriving and improving CMA-ES with information geometric trust regionsAbbas Abdolmaleki, Bob Price, Nuno Lau, Luís Paulo Reis, Gerhard Neumann. 657-664 [doi]
- Reconsidering constraint release for active-set evolution strategiesDirk V. Arnold. 665-672 [doi]
- Constraint handling in efficient global optimizationSamineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya. 673-680 [doi]
- Per instance algorithm configuration of CMA-ES with limited budgetNacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer. 681-688 [doi]
- Analysis of the pcCMSA-ES on the noisy ellipsoid modelHans-Georg Beyer, Michael Hellwig. 689-696 [doi]
- A cooperative co-evolutionary algorithm for solving large-scale constrained problems with interaction detectionJulien Blanchard, Charlotte Beauthier, Timoteo Carletti. 697-704 [doi]
- Exploiting linkage information in real-valued optimization with the real-valued gene-pool optimal mixing evolutionary algorithmAnton Bouter, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman. 705-712 [doi]
- Niching an estimation-of-distribution algorithm by hierarchical Gaussian mixture learningS. C. Maree, Tanja Alderliesten, Dirk Thierens, Peter A. N. Bosman. 713-720 [doi]
- Effect of the mean vector learning rate in CMA-ESHidekazu Miyazawa, Youhei Akimoto. 721-728 [doi]
- TPAM: a simulation-based model for quantitatively analyzing parameter adaptation methodsRyoji Tanabe, Alex Fukunaga. 729-736 [doi]
- Algorithm configuration data mining for CMA evolution strategiesSander van Rijn, Hao Wang 0025, Bas van Stein, Thomas Bäck. 737-744 [doi]
- Two-edge graphical linkage model for DSMGA-IIPing-Lin Chen, Chun-Jen Peng, Chang-Yi Lu, Tian-Li Yu. 745-752 [doi]
- Optimizing one million variable NK landscapes by hybridizing deterministic recombination and local searchFrancisco Chicano, Darrell Whitley, Gabriela Ochoa, Renato Tinós. 753-760 [doi]
- Genetic algorithm for epidemic mitigation by removing relationshipsFernando Concatto, Wellington Zunino, Luigi A. Giancoli, Rafael de Santiago, Luís C. Lamb. 761-768 [doi]
- The role of crossover operator in bayesian network structure learning performance: a comprehensive comparative study and new insightsCarlo Contaldi, Fatemeh Vafaee, Peter C. Nelson. 769-776 [doi]
- Fast genetic algorithmsBenjamin Doerr, Huu Phuoc Le, Régis Makhmara, Ta Duy Nguyen. 777-784 [doi]
- Real-polarized genetic algorithm for the three-dimensional bin packing problemAndré Homem Dornas, Flávio Vinícius Cruzeiro Martins, João Fernando Machry Sarubbi, Elizabeth Fialho Wanner. 785-792 [doi]
- A genetic algorithm for fair land allocationAlex Gliesch, Marcus Ritt, Mayron César O. Moreira. 793-800 [doi]
- Automatic generation of domain-specific genetic algorithm operators using the hierarchical bayesian optimization algorithmCezary Z. Janikow, Mark Hauschild. 801-808 [doi]
- Speeding up DSMGA-II on CUDA platformSung-Chi Li, Tian-Li Yu. 809-816 [doi]
- Evolutionary image composition using feature covariance matricesAneta Neumann, Zygmunt L. Szpak, Wojciech Chojnacki, Frank Neumann. 817-824 [doi]
- Different scenarios for survival analysis of evolutionary algorithmsRoberto Santana, José Antonio Lozano. 825-832 [doi]
- EGAC: a genetic algorithm to compare chemical reaction networksStefano Tognazzi, Mirco Tribastone, Max Tschaikowski, Andrea Vandin. 833-840 [doi]
- A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficultyJheng-Ying Yu, I-Ting Chen, Tian-Li Yu. 841-848 [doi]
- On the runtime analysis of generalised selection hyper-heuristics for pseudo-boolean optimisationAndrei Lissovoi, Pietro Simone Oliveto, John Alasdair Warwicker. 849-856 [doi]
- Theoretical results on bet-and-run as an initialisation strategyAndrei Lissovoi, Dirk Sudholt, Markus Wagner 0007, Christine Zarges. 857-864 [doi]
- Parallel evolutionary algorithm with interleaving generationsMartin Pilát, Roman Neruda. 865-872 [doi]
- Alternative infill strategies for expensive multi-objective optimisationAlma As-Aad Mohammad Rahat, Richard M. Everson, Jonathan E. Fieldsend. 873-880 [doi]
- Investigating uncertainty propagation in surrogate-assisted evolutionary algorithmsVanessa Volz, Günter Rudolph, Boris Naujoks. 881-888 [doi]
- Time complexity reduction in efficient global optimization using cluster krigingHao Wang 0025, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck. 889-896 [doi]
- Reexpressing problematic optimization data: creating a workflow for the statistical analysis of multifactorial EC experimentsMark Wineberg, Sebastian Lenartowicz. 897-904 [doi]
- Simulation-based test functions for optimization algorithmsMartin Zaefferer, Andreas Fischbach, Boris Naujoks, Thomas Bartz-Beielstein. 905-912 [doi]
- Self-adaptation of genetic operators through genetic programming techniquesAndrés Felipe Cruz-Salinas, Jonatan Gómez Perdomo. 913-920 [doi]
- Bounding bloat in genetic programmingBenjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler. 921-928 [doi]
- Unsure when to stop?: ask your semantic neighborsIvo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli. 929-936 [doi]
- Improving generalization of evolved programs through automatic simplificationThomas Helmuth, Nicholas Freitag McPhee, Edward R. Pantridge, Lee Spector. 937-944 [doi]
- Properties of a GP active learning framework for streaming data with class imbalanceSara Khanchi, Malcolm I. Heywood, A. Nur Zincir-Heywood. 945-952 [doi]
- Counterexample-driven genetic programmingKrzysztof Krawiec, Iwo Bladek, Jerry Swan. 953-960 [doi]
- Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methodsWilliam La Cava, Jason H. Moore. 961-968 [doi]
- Discovery of search objectives in continuous domainsPawel Liskowski, Krzysztof Krawiec. 969-976 [doi]
- Evolvability in grammatical evolutionEric Medvet, Fabio Daolio, Danny Tagliapietra. 977-984 [doi]
- How noisy data affects geometric semantic genetic programmingLuis F. Miranda, Luiz Otávio Vilas Boas Oliveira, Joao Francisco B. S. Martins, Gisele L. Pappa. 985-992 [doi]
- Geometric semantic genetic programming for recursive boolean programsAlberto Moraglio, Krzysztof Krawiec. 993-1000 [doi]
- Combining conformal prediction and genetic programming for symbolic interval regressionThuong Pham Thi, Nguyen Xuan Hoai, Xin Yao. 1001-1008 [doi]
- Coevolving deep hierarchies of programs to solve complex tasksRobert J. Smith, Malcolm I. Heywood. 1009-1016 [doi]
- A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problemsLéo Françoso Dal Piccol Sotto, Vinicius Veloso de Melo. 1017-1024 [doi]
- A hybrid genetic programming decision making system for RoboCup soccer simulationAmir Tavafi, Wolfgang Banzhaf. 1025-1032 [doi]
- Genetic programming based feature construction for classification with incomplete dataCao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. 1033-1040 [doi]
- Scalable genetic programming by gene-pool optimal mixing and input-space entropy-based building-block learningMarco Virgolin, Tanja Alderliesten, Cees Witteveen, Peter A. N. Bosman. 1041-1048 [doi]
- An embedded system architecture based on genetic algorithms for mission and safety planning with UAVJesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Onofre Trindade Júnior, Brian C. Williams. 1049-1056 [doi]
- Multi-objective optimization of level of service in urban transportationRolando Armas, Hernán E. Aguirre, Kiyoshi Tanaka. 1057-1064 [doi]
- Handling practicalities in agricultural policy optimization for water quality improvementsBradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha 0001, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker. 1065-1072 [doi]
- Optimizing the decomposition of time series using evolutionary algorithms: soil moisture analyticsAniruddha Basak, Ole J. Mengshoel, Chinmay Kulkarni, Kevin Schmidt, Prathi Shastry, Rao Rapeta. 1073-1080 [doi]
- Protein design by multiobjective optimization: evolutionary and non-evolutionary approachesSandeep V. Belure, Ofer M. Shir, Vikas Nanda. 1081-1088 [doi]
- Evolving a real-time evacuation for urban disaster managementKeith J. Drew, Robert B. Heckendorn, Ahmed Abdel-Rahim, Homaja Pydi Kumar Marisetty, Anton Stalick. 1089-1096 [doi]
- University staff teaching allocation: formulating and optimising a many-objective problemJonathan E. Fieldsend. 1097-1104 [doi]
- Monopolies can exist in unmanned airspaceScott Forer, Logan Michael Yliniemi. 1105-1112 [doi]
- The evolution of neural network-based chart patterns: a preliminary studyMyoung Hoon Ha, Byung Ro Moon. 1113-1120 [doi]
- A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sectorEmma Hart, Kevin Sim, Barry Gardiner, Kana Kamimura. 1121-1128 [doi]
- Searching for nonlinear relationships in fMRI data with symbolic regressionJames Alexander Hughes, Mark Daley. 1129-1136 [doi]
- Towards solving large-scale precedence constrained production scheduling problems in miningAngus Kenny, Xiaodong Li, Andreas T. Ernst, Dhananjay R. Thiruvady. 1137-1144 [doi]
- Optimizing nucleic acid sequences for a molecular data recorderJerzy Kozyra, Harold Fellermann, Ben Shirt-Ediss, Annunziata Lopiccolo, Natalio Krasnogor. 1145-1152 [doi]
- Automatic generation of optimal quantum key distribution protocolsWalter O. Krawec, Michael G. Nelson, Eric P. Geiss. 1153-1160 [doi]
- Accurate mixed weibull distribution fitting by differential evolutionPavel Krömer, Jana Heckenbergerova, Petr Musílek. 1161-1168 [doi]
- Solving structures of pigment-protein complexes as inverse optimization problems using decompositionYigal Lahav, Ofer M. Shir, Dror Noy. 1169-1176 [doi]
- Evolutionary approach to optimization of data representation for classification of patterns in financial ultra-high frequency time seriesPiotr Lipinski. 1177-1184 [doi]
- Solving a supply-chain management problem using a bilevel approachZhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick. 1185-1192 [doi]
- Conversion rate optimization through evolutionary computationRisto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brundage, Jonathan Epstein, Randy Dean, Gurmeet Lamba. 1193-1199 [doi]
- Optimization of monitoring in dynamic communication networks using a hybrid evolutionary algorithmRobin Mueller-Bady, Martin Kappes, Inmaculada Medina-Bulo, Francisco Palomo-Lozano. 1200-1207 [doi]
- Enhanced genetic path planning for autonomous flightVincent R. Ragusa, H. David Mathias, Vera A. Kazakova, Annie S. Wu. 1208-1215 [doi]
- A knee point based evolutionary multi-objective optimization for mission planning problemsCristian Ramírez-Atencia, Sanaz Mostaghim, David Camacho. 1216-1223 [doi]
- Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithmKrzysztof L. Sadowski, Marjolein C. van der Meer, Ngoc Hoang Luong, Tanja Alderliesten, Dirk Thierens, Rob van der Laarse, Yury Niatsetski, Arjan Bel, Peter A. N. Bosman. 1224-1231 [doi]
- ε-preferred evolutionary algorithm for approximate BDD optimizationSaeideh Shirinzadeh, Mathias Soeken, Daniel Große, Rolf Drechsler. 1232-1239 [doi]
- Computing new optimized routes for GPS navigators using evolutionary algorithmsDaniel H. Stolfi, Enrique Alba. 1240-1247 [doi]
- Fast pedestrian detection using multimodal estimation of distribution algorithmsDa-Zhao Tan, Wei-neng Chen, Jun Zhang, Wei jie Yu. 1248-1255 [doi]
- Heuristic allocation of computational resourcesSilviu Tofan, Richard Allmendinger, Manuela Zanda, Olly Stephens. 1256-1263 [doi]
- Evolving solution choice and decision support for a real-world optimisation problemNeil Urquhart, Achille Fonzone. 1264-1271 [doi]
- Evolutionary decomposition for 3D printingEric A. Yu, Jin Yeom, Cem Celal Tutum, Etienne Vouga, Risto Miikkulainen. 1272-1279 [doi]
- A search for improved performance in regular expressionsBrendan Cody-Kenny, Michael Fenton, Adrian Ronayne, Eoghan Considine, Thomas McGuire, Michael O'Neill. 1280-1287 [doi]
- A penalty-based Tabu search for constrained covering arraysPhilippe Galinier, Segla Kpodjedo, Giulio Antoniol. 1288-1294 [doi]
- Empirical evaluation of conditional operators in GP based fault localizationDahyun Kang, Jeongju Sohn, Shin Yoo. 1295-1302 [doi]
- A context-based refactoring recommendation approach using simulated annealing: two industrial case studiesMarouane Kessentini, Troh Josselin Dea, Ali Ouni 0001. 1303-1310 [doi]
- Multi-objective black-box test case selection for system testingRemo Lachmann, Michael Felderer, Manuel Nieke, Sandro Schulze, Christoph Seidl, Ina Schaefer. 1311-1318 [doi]
- Mining cross product line rules with multi-objective search and machine learningSafdar Aqeel Safdar, Hong Lu, Tao Yue 0002, Shaukat Ali. 1319-1326 [doi]
- Active coevolutionary learning of requirements specifications from examplesMarcel Wever, Lorijn van Rooijen, Heiko Hamann. 1327-1334 [doi]
- An adaptive fitness function based on branch hardness for search based testingXiong Xu, Ziming Zhu, Li Jiao. 1335-1342 [doi]
- λ, λ)) genetic algorithm on random satisfiable 3-CNF formulasMaxim Buzdalov, Benjamin Doerr. 1343-1350 [doi]
- λ) evolutionary algorithm with self-adjusting mutation rateBenjamin Doerr, Christian Gießen, Carsten Witt, Jing Yang. 1351-1358 [doi]
- Island models meet rumor spreadingBenjamin Doerr, Philipp Fischbeck, Clemens Frahnow, Tobias Friedrich 0001, Timo Kötzing, Martin Schirneck. 1359-1366 [doi]
- Unknown solution length problems with no asymptotically optimal run timeBenjamin Doerr, Carola Doerr, Timo Kötzing. 1367-1374 [doi]
- Sorting by swaps with noisy comparisonsTomás Gavenciak, Barbara Geissmann, Johannes Lengler. 1375-1382 [doi]
- Improved runtime bounds for the univariate marginal distribution algorithm via anti-concentrationPer Kristian Lehre, Phan Trung Hai Nguyen. 1383-1390 [doi]
- When is it beneficial to reject improvements?Samadhi Nallaperuma, Pietro Simone Oliveto, Jorge Pérez Heredia, Dirk Sudholt. 1391-1398 [doi]
- Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noiseChao Qian, Chao Bian, Wu Jiang, Ke Tang. 1399-1406 [doi]
- Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraintsFeng Shi, Martin Schirneck, Tobias Friedrich 0001, Timo Kötzing, Frank Neumann. 1407-1414 [doi]
- Upper bounds on the runtime of the univariate marginal distribution algorithm on onemaxCarsten Witt. 1415-1422 [doi]