Abstract is missing.
- Genetic Programming: A Tutorial IntroductionUna-May O'Reilly. 3-19 [doi]
- Evolutionary Computation: A Unified ApproachKenneth A. De Jong. 21-35 [doi]
- Tutorial on Evolutionary Multiobjective OptimizationDimo Brockhoff, Tobias Wagner. 37-63 [doi]
- Particle Swarm OptimizationAndries P. Engelbrecht. 65-91 [doi]
- Model-Based Evolutionary AlgorithmsDirk Thierens, Peter A. N. Bosman. 93-120 [doi]
- Runtime Analysis of Evolutionary Algorithms: Basic IntroductionPer Kristian Lehre, Pietro Simone Oliveto. 121-136 [doi]
- Evolving Neural NetworksRisto Miikkulainen. 137-161 [doi]
- Introduction to Complex NetworksMarco Tomassini. 163-178 [doi]
- Cartesian Genetic ProgrammingJulian Francis Miller, Andrew James Turner. 179-198 [doi]
- Hyper-HeuristicsJohn R. Woodward, Daniel R. Tauritz. 199-230 [doi]
- Tutorial on Evolutionary RoboticsNicolas Bredeche, Stéphane Doncieux, Jean-Baptiste Mouret. 231-261 [doi]
- Introducing Rule-based Machine Learning: A Practical GuideRyan J. Urbanowicz, Will N. Browne. 263-292 [doi]
- Multimodal OptimizationMike Preuss. 293-312 [doi]
- Continuous Optimization and CMA-ESYouhei Akimoto, Anne Auger, Nikolaus Hansen. 313-344 [doi]
- Representations for Evolutionary AlgorithmsFranz Rothlauf. 345-366 [doi]
- Constraint-Handling Techniques used with Evolutionary AlgorithmsCarlos Artemio Coello Coello. 367-389 [doi]
- Blind No More: Constant TimeNon-Random Improving Moves and Exponentially Powerful RecombinationDarrell Whitley. 391-407 [doi]
- Expressive Genetic ProgrammingLee Spector. 409-434 [doi]
- Parameterized Complexity Analysis of Evolutionary AlgorithmsFrank Neumann, Andrew M. Sutton. 435-450 [doi]
- Theory of Swarm IntelligenceDirk Sudholt. 451-471 [doi]
- Evolutionary Image Analysis, Signal Processing and Pattern RecognitionMengjie Zhang, Stefano Cagnoni. 473-502 [doi]
- Generative and Developmental Systems TutorialKenneth O. Stanley. 503-532 [doi]
- Evolutionary Algorithms for Protein Structure ModelingAmarda Shehu, Kenneth A. De Jong. 533-545 [doi]
- Solving Complex Problems with Coevolutionary AlgorithmsMalcolm I. Heywood, Krzysztof Krawiec. 547-573 [doi]
- Theory of Evolution Strategies and Related AlgorithmsYouhei Akimoto, Anne Auger. 575-588 [doi]
- Introduction to Gene Regulatory NetworksSylvain Cussat-Blanc, Wolfgang Banzhaf. 589-601 [doi]
- Semantic Genetic ProgrammingAlberto Moraglio, Krzysztof Krawiec. 603-627 [doi]
- Evolutionary Computation for Dynamic Optimization ProblemsShengxiang Yang. 629-649 [doi]
- Medical Applications of Evolutionary ComputationStephen L. Smith. 651-679 [doi]
- Automatic (Offline) Configuration of AlgorithmsThomas Stützle, Manuel López-Ibáñez. 681-702 [doi]
- Low or no cost distributed evolutionary computationJuan J. Merelo Guervós. 703-706 [doi]
- Intelligent Systems for Smart CitiesEnrique Alba. 707-722 [doi]
- Synergies between Evolutionary Algorithms and Reinforcement LearningMadalina M. Drugan. 723-740 [doi]
- Rapid Evolution of Robot GaitsJoshua Evan Auerbach, Gregoire Heitz, Przemyslaw M. Kornatowski, Dario Floreano. 743-744 [doi]
- Probabilistic Model Enhanced Genetic Algorithm for Multi-Mode Resource Constrained Project Scheduling ProblemMayowa Ayodele, John A. W. McCall, Olivier Regnier-Coudert. 745-746 [doi]
- Examining The Stroop Effect using A Develomental Spatial Neuroevolution SystemAmit Benbassat, Avishai Henik. 747-748 [doi]
- Various Degrees of Steadiness in NSGA-II and Their Influence on the Quality of ResultsMaxim Buzdalov, Vladimir Parfenov. 749-750 [doi]
- Evolutionary Approach For Minimizing Consumed Energy In a Personal Rapid Transit Transportation System with a Multi-Depot Network Topology: Minimizing Consumed Energy In a PRT System with a Multi-Depot Network TopologyOlfa Chebbi, Jouhaina Chaouachi. 751-752 [doi]
- Comparing Variable Width Backtracking and Metaheuristics, Experiments with the Maximum Diversity ProblemJosé-Matías Cutillas-Lozano, Miguel-Ángel Franco, Domingo Giménez. 753-754 [doi]
- Design and Development of a Genetic Algorithm for the Distance Constrained Vehicle Routing Problem with Environmental Issues: Genetic Algorithm for the Green Distance Constrained Vehicle Routing ProblemEzzeddine Fatnassi, Jouhaina Chaouachi. 755-756 [doi]
- Malware Obfuscation through Evolutionary PackersMarco Gaudesi, Andrea Marcelli, Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda. 757-758 [doi]
- Adaptive Evolution Control with P-I Similarity Index for Surrogate-assisted Evolutionary ComputationTaku Hasegawa, Kento Tsukada, Naoki Mori, Keinosuke Matsumoto. 759-760 [doi]
- Evolved Virtual Creatures with Soft-Body Muscles: On a Bio-Mimetic Path to Meaningful Morphological ComplexityDan Lessin, Sebastian Risi. 761-762 [doi]
- Hybridizing Genetic Algorithm with Cross Entropy for Solving Continuous FunctionsPedro López-García, Enrique Onieva, Eneko Osaba, Antonio D. Masegosa, Asier Perallos. 763-764 [doi]
- Developing Multi-Time Frame Trading Rules with a Trend Following Strategy, using GAJaime Machado, Rui Ferreira Neves, Nuno Horta. 765-766 [doi]
- Generating Easy and Hard Problems using the Proximate Optimality PrincipleJohn A. W. McCall, Lee A. Christie, Alexander E. I. Brownlee. 767-768 [doi]
- Computational Matter: Evolving Computational Solutions in MaterialsJulian Francis Miller, Hajo Broersma. 769-770 [doi]
- Empirical Scaling Analyser: An Automated System for Empirical Analysis of Performance ScalingZongxu Mu, Holger H. Hoos. 771-772 [doi]
- Parameter-less Evolutionary Portfolio: First ExperimentsJosé C. Pereira, Fernando G. Lobo. 773-774 [doi]
- A Parallel MOEA/D Generating Solutions in Minimum Overlapped Update Ranges of SolutionsHiroyuki Sato, Minami Miyakawa, Elizabeth Pérez Cortés. 775-776 [doi]
- A Comparative Study of Synchronization of Parallel ACO on Multi-core ProcessorShigeyoshi Tsutsui, Noriyuki Fujimoto. 777-778 [doi]
- Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment ProblemsJing Xie, Yi Mei, Andy Song. 779-780 [doi]
- An Improved Artificial Fish Swarm Algorithm in Image Segmentation applicationMing-an Zhang, Yong Deng. 781-782 [doi]
- GI4GI: Improving Genetic Improvement Fitness FunctionsMark Harman, Justyna Petke. 793-794 [doi]
- Evolutionary Approximation of Software for Embedded Systems: Median FunctionVojtech Mrazek, Zdenek Vasícek, Lukás Sekanina. 795-801 [doi]
- Genetic Improvement using Higher Order MutationYue Jia, Fan Wu, Mark Harman, Jens Krinke. 803-804 [doi]
- Grow and Graft a Better CUDA pknotsRG for RNA Pseudoknot Free Energy CalculationWilliam B. Langdon, Mark Harman. 805-810 [doi]
- locoGP: Improving Performance by Genetic Programming Java Source CodeBrendan Cody-Kenny, Edgar Galván López, Stephen Barrett. 811-818 [doi]
- Energy Optimisation via Genetic Improvement: A SBSE technique for a new era in Software DevelopmentBobby R. Bruce. 819-820 [doi]
- Genetic Improvement of Energy Usage is only as Reliable as the Measurements are AccurateSaemundur O. Haraldsson, John R. Woodward. 821-822 [doi]
- Genetic Improvement for Software Product Lines: An Overview and a RoadmapRoberto Erick Lopez-Herrejon, Lukas Linsbauer, Wesley Klewerton Guez Assunção, Stefan Fischer 0006, Silvia Regina Vergilio, Alexander Egyed. 823-830 [doi]
- Embedded Dynamic ImprovementNathan Burles, Jerry Swan, Edward Bowles, Alexander E. I. Brownlee, Zoltan A. Kocsis, Nadarajen Veerapen. 831-832 [doi]
- Removing the Kitchen Sink from SoftwareJason Landsborough, Stephen Harding, Sunny Fugate. 833-838 [doi]
- Embedding Adaptivity in Software Systems using the ECSELR frameworkKwaku Yeboah-Antwi, Benoit Baudry. 839-844 [doi]
- Rethinking Genetic Improvement ProgrammingDavid Robert White, Jeremy Singer. 845-846 [doi]
- Repairing COTS Router Firmware without Access to Source Code or Test Suites: A Case Study in Evolutionary Software RepairEric M. Schulte, Westley Weimer, Stephanie Forrest. 847-854 [doi]
- Fitness as Task-relevant Information AccumulationColin G. Johnson, John R. Woodward. 855-856 [doi]
- Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES)George Rush, Daniel R. Tauritz, Alexander D. Kent. 859-866 [doi]
- Using Genetic Algorithms for Deadline-Constrained Monitor Selection in Dynamic Computer NetworksRobin Mueller-Bady, Ruediger Gad, Martin Kappes, Inmaculada Medina-Bulo. 867-874 [doi]
- A Hybrid Matheuristic Approach for Designing Reliable Wireless Multimedia Sensor NetworksOmer Ozkan, Murat Ermis, Ilker Bekmezci. 875-882 [doi]
- A Preliminary Investigation on the Identification of Peer to Peer Network ApplicationsCan Bozdogan, Yasemin Gokcen, Ibrahim Zincir. 883-888 [doi]
- Evolutionary Dynamic Optimization Techniques for Marine Contamination ProblemLokman Altin, Haluk Rahmi Topcuoglu, Murat Ermis. 889-892 [doi]
- Botnet Detection System Analysis on the Effect of Botnet Evolution and Feature RepresentationFariba Haddadi, A. Nur Zincir-Heywood. 893-900 [doi]
- MeGASS: Multi-Objective Genetic Active Site SearchSandro C. Izidoro, Anísio M. Lacerda, Gisele L. Pappa. 905-910 [doi]
- Combination of Differential Evolution and Fragment-based Replacements for Protein Structure PredictionDaniel Varela, José Santos. 911-914 [doi]
- NK Landscape Instances Mimicking the Protein Inverse Folding Problem Towards Future BenchmarksSune S. Nielsen, Grégoire Danoy, Pascal Bouvry, El-Ghazali Talbi. 915-921 [doi]
- Mapping Multiple Minima in Protein Energy Landscapes with Evolutionary AlgorithmsEmmanuel Sapin, Kenneth A. De Jong, Amarda Shehu. 923-927 [doi]
- An Experimental Analysis of the Performance of SideChain Packing AlgorithmsCarlos A. Brizuela, Rosario I. Corona, Christian Lezcano, David O. Rodríguez, José D. Colbes. 929-933 [doi]
- Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in RosettaMario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua D. Knowles, Simon C. Lovell. 935-938 [doi]
- Spatial and Temporal Visualisation of Evolutionary Algorithm Decisions in Water Distribution Network OptimisationEdward Keedwell, Matthew Barrie Johns, Dragan A. Savic. 941-948 [doi]
- ELICIT: Evolutionary Computation VisualizationAntónio Cruz, Penousal Machado, Filipe Assunção, António Leitão. 949-956 [doi]
- Using Particle Swarm Large-scale Optimization to Improve Sampling-based Image MattingLv Liang, Huang Han, Cai Zhao-Quan, Hu Hui. 957-961 [doi]
- Visualising Multi-objective Populations with TreemapsDavid J. Walker. 963-970 [doi]
- A Novel Representation of Classifier Conditions Named Sensory Tag for the XCS in Multistep ProblemsLiang-Yu Chen, Po-Ming Lee, Tzu-Chien Hsiao. 973-980 [doi]
- The Relationship Between (Un)Fractured Problems and Division of Input SpaceDanilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata. 981-987 [doi]
- A Lexicographic Multi-Objective Genetic Algorithm for Multi-Label Correlation Based Feature SelectionSuwimol Jungjit, Alex Alves Freitas. 989-996 [doi]
- Metaheuristics based on Clustering in a Holonic Multiagent Model for the Flexible Job Shop ProblemHoussem Eddine Nouri, Olfa Belkahla Driss, Khaled Ghédira. 997-1004 [doi]
- Discovering Regression Rules with Ant Colony OptimizationJames Brookhouse, Fernando E. B. Otero. 1005-1012 [doi]
- An Evolutionary Missing Data Imputation Method for Pattern ClassificationFábio M. F. Lobato, Vincent W. Tadaiesky, Igor M. Araújo, Ádamo L. de Santana. 1013-1019 [doi]
- Socially Guided XCS: Using Teaching Signals to Boost LearningAnis Najar, Olivier Sigaud, Mohamed Chetouani. 1021-1028 [doi]
- Continuous Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier SystemRyan J. Urbanowicz, Niranjan Ramanand, Jason H. Moore. 1029-1036 [doi]
- Back to the Future: Learning Classifier Systems as Cognitive SystemsWill N. Browne. 1037 [doi]
- A Potential of Evolutionary Rule-based Machine Learning for Real World ApplicationsKeiki Takadama. 1039-1040 [doi]
- A Comparison of Genetic Programming Variants for Hyper-HeuristicsSean Harris, Travis Bueter, Daniel R. Tauritz. 1043-1050 [doi]
- Hyper-Heuristics: A Study On Increasing Primitive-SpaceMatthew A. Martin, Daniel R. Tauritz. 1051-1058 [doi]
- Synthesis of Parallel Iterative Sorts with Multi-Core Grammatical EvolutionGopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan. 1059-1066 [doi]
- Generating Human-readable Algorithms for the Travelling Salesman Problem using Hyper-HeuristicsPatricia Ryser-Welch, Julian F. Miller, Shahriar Asta. 1067-1074 [doi]
- Learning Genetic Representations for Classes of Real-Valued Optimization ProblemsEric O. Scott, Jeffrey K. Bassett. 1075-1082 [doi]
- An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary AlgorithmsAurora Ramírez, José Raúl Romero, Sebastián Ventura. 1085-1092 [doi]
- Redesigning the jMetal Multi-Objective Optimization FrameworkAntonio J. Nebro, Juan José Durillo, Matthieu Vergne. 1093-1100 [doi]
- Simplifying Problem Definitions in the HeuristicLab Optimization EnvironmentAndreas Scheibenpflug, Andreas Beham, Michael Kommenda, Johannes Karder, Stefan Wagner 0002, Michael Affenzeller. 1101-1108 [doi]
- AntElements: An Extensible and Scalable Ant Colony Optimization MiddlewareKamil Krynicki, Javier Jaen. 1109-1116 [doi]
- Designing and Modeling a Browser-Based DistributedEvolutionary Computation SystemJuan J. Merelo Guervós, Pablo García-Sánchez. 1117-1124 [doi]
- Deconstructing GAs into Visual Software ComponentsLeidy Patricia Garzón-Rodriguez, Henry Alberto Diosa, Sergios Rojas Galeano. 1125-1132 [doi]
- Benchmarking IPOP-CMA-ES-TPA and IPOP-CMA-ES-MSR on the BBOB Noiseless TestbedAsma Atamna. 1135-1142 [doi]
- Benchmarking Gaussian Processes and Random Forests Surrogate Models on the BBOB Noiseless TestbedLukás Bajer, Zbynek Pitra, Martin Holena. 1143-1150 [doi]
- Dimension Selection in Axis-Parallel Brent-STEP Method for Black-Box Optimization of Separable Continuous FunctionsPetr Posík, Petr Baudis. 1151-1158 [doi]
- The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary StudyDimo Brockhoff, Bernd Bischl, Tobias Wagner. 1159-1166 [doi]
- Differential Evolution with a Repair Method to Solve Dynamic Constrained Optimization ProblemsMaria Yaneli Ameca-Alducin, Efrén Mezura-Montes, Nicandro Cruz-Ramírez. 1169-1172 [doi]
- Exploiting the Relationship Between Structural Modularity and Sparsity for Faster Network EvolutionAnton Bernatskiy, Josh C. Bongard. 1173-1176 [doi]
- Selection of Auxiliary Objectives with Multi-Objective Reinforcement LearningArina Buzdalova, Anna Matveeva, Georgiy Korneev. 1177-1180 [doi]
- A Computational Comparison of Memetic Differential Evolution ApproachesFederico Cabassi, Marco Locatelli. 1181-1184 [doi]
- Inferring Temporal Properties of Finite-State Machine Models with Genetic ProgrammingDaniil Chivilikhin, Ilya Ivanov, Anatoly Shalyto. 1185-1188 [doi]
- Towards a Knowledge Base for Performance Data: A Formal Model for Performance ComparisonHans Degroote, Patrick De Causmaecker. 1189-1192 [doi]
- Soft Computing Techniques Applied to Corporate and Personal SecurityPaloma de las Cuevas Delgado, Juan Julián Merelo Guervós, Pablo García-Sánchez. 1193-1196 [doi]
- Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis SplinesAdam Gaier. 1197-1200 [doi]
- Control of Crossed Genes Ratio for Directed Mating in Evolutionary Constrained Multi-Objective OptimizationMinami Miyakawa, Keiki Takadama, Hiroyuki Sato. 1201-1204 [doi]
- A Hybrid MOGA-CSP for Multi-UAV Mission PlanningCristian Ramírez-Atencia, Gema Bello Orgaz, María D. R.-Moreno, David Camacho. 1205-1208 [doi]
- Evaluation-Time Bias in Asynchronous Evolutionary AlgorithmsEric O. Scott, Kenneth A. De Jong. 1209-1212 [doi]
- On the Selection of Decomposition Methods for Large Scale Fully Non-separable ProblemsYuan Sun, Michael Kirley, Saman Kumara Halgamuge. 1213-1216 [doi]
- Symbolic Regression by Grammar-based Multi-Gene Genetic ProgrammingJan Zegklitz, Petr Posík. 1217-1220 [doi]
- Growing and Evolving Vibrationally Actuated Soft RobotsBenjamin Berger, Alvin Andino, Andrew Danise, John Rieffel. 1221-1224 [doi]
- A Method Based on Interactive Evolutionary Computation for Increasing the Effectiveness of Advertisement TextsQuetzali Madera, Mario García Valdez, Oscar Castillo, Alejandra Mancilla. 1225-1228 [doi]
- Hard Test Generation for Maximum Flow Algorithms with the Fast Crossover-Based Evolutionary AlgorithmVladimir Mironovich, Maxim Buzdalov. 1229-1232 [doi]
- An Evolutionary Algorithm for Weighted Graph Coloring ProblemGizem Sungu, Betul Boz. 1233-1236 [doi]
- The Cost of Communication: Environmental Pressure and Survivability in mEDEAAndreas Steyven, Emma Hart, Ben Paechter. 1239-1240 [doi]
- Embodied Evolution for Collective Indoor Surveillance and LocationPedro Trueba, Abraham Prieto, Francisco Bellas, Richard J. Duro. 1241-1242 [doi]
- Collective Sharing of Knowledge in a DREAMJacqueline Heinerman. 1243-1244 [doi]
- Evolving Diverse Collective Behaviors Independent of Swarm DensityPayam Zahadat, Heiko Hamann, Thomas Schmickl. 1245-1246 [doi]
- Elements of Embodied Evolutionary RoboticsNicolas Bredeche, Evert Haasdijk, Abraham Prieto. 1247 [doi]
- Simulating Morphological Evolution in Large Robot PopulationsFlorian Golemo, Marjeta Markovic, Jasper Schoormans, Peter de Jonge, Maik Couwenberg, Evert Haasdijk. 1249-1250 [doi]
- Hyb-CCEA: Cooperative Coevolution of Hybrid TeamsJorge C. Gomes, Pedro Mariano, Anders Lyhne Christensen. 1251-1252 [doi]
- Evolution of Collective Behaviors by Minimizing Surprisal and by Micro-Macro LinksHeiko Hamann. 1253 [doi]
- Metaheuristic Design Pattern: PreferenceHamzeh J. Aljawawdeh, Christopher L. Simons, Mohammed Odeh. 1257-1260 [doi]
- Metaheuristic Design Pattern: Surrogate Fitness FunctionsAlexander E. I. Brownlee, John R. Woodward, Jerry Swan. 1261-1264 [doi]
- The 'Blackboard Pattern' for MetaheuristicsKevin Graham, Jerry Swan, Simon Martin. 1265-1267 [doi]
- Two-B or not Two-B?: Design Patterns for Hybrid MetaheuristicsAlina Patelli, Nelly Bencomo, Anikó Ekárt, Harry Goldingay, Peter R. Lewis. 1269-1274 [doi]
- Introducing Semantic-Clustering Selection in Grammatical EvolutionStefan Forstenlechner, Miguel Nicolau, David Fagan, Michael O'Neill. 1277-1284 [doi]
- Wave: Incremental Erosion of Residual ErrorDavid Medernach, Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan. 1285-1292 [doi]
- Greedy Semantic Local Search for Small SolutionsRobyn Ffrancon, Marc Schoenauer. 1293-1300 [doi]
- Comparison of Semantic-aware Selection Methods in Genetic ProgrammingPawel Liskowski, Krzysztof Krawiec, Thomas Helmuth, Lee Spector. 1301-1307 [doi]
- Feature Set Optimization for Physical Activity Recognition Using Genetic AlgorithmsAlejandro Baldominos, Yago Sáez, Pedro Isasi. 1311-1318 [doi]
- Classification of Two-channel Signals by Means of Genetic ProgrammingDaniel Rivero, Enrique Fernández-Blanco, Julian Dorado, Alejandro Pazos. 1319-1325 [doi]
- Data-Based Identification of Prediction Models for GlucoseJ. Manuel Velasco, Stephan Winkler, José Ignacio Hidalgo, Oscar Garnica, Juan Lanchares, J. Manuel Colmenar, Esther Maqueda, Marta Botella, José Antonio Rubio. 1327-1334 [doi]
- A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS AmandaViktoria Dorfer, Sergey Maltsev, Stephan Dreiseitl, Karl Mechtler, Stephan M. Winkler. 1335-1341 [doi]
- Landscape Properties of the 0-1 Knapsack ProblemKhulood AlYahya, Jonathan E. Rowe. 1343-1344 [doi]
- Grammatical Evolution for Identifying Wikipedia TaxonomiesLourdes Araujo, Juan Martinez-Romo, Andrés Duque Fernandez. 1345-1346 [doi]
- Criteria and Convergence Rates in Noisy OptimizationSandra Astete Morales, Marie-Liesse Cauwet, Olivier Teytaud. 1347-1348 [doi]
- A Combinatorial Genetic Algorithm for Computational Doping based Material DesignEmrah Atilgan, Jianjun Hu. 1349-1350 [doi]
- Investigation of Gaussian Processes and Random Forests as Surrogate Models for Evolutionary Black-Box OptimizationLukás Bajer, Zbynek Pitra, Martin Holena. 1351-1352 [doi]
- Energy Efficient Allocation and Scheduling for DVFS-enabled Multicore Environments using a Multiobjective Evolutionary AlgorithmZorana Bankovic, Pedro López-García. 1353-1354 [doi]
- Herding Evolutionary AlgorithmArnaud Berny. 1355-1356 [doi]
- Improving Test Coverage of Formal Verification Systems via Beam SearchMahmoud Bokhari, Markus Wagner. 1357-1358 [doi]
- A Novelty Search-based Test Data Generator for Object-oriented ProgramsMohamed Boussaa, Olivier Barais, Gerson Sunyé, Benoit Baudry. 1359-1360 [doi]
- A Comparison Exercise on Parallel Evaluation of Rosenbrock FunctionMiguel Cárdenas Montes, Miguel Ángel Vega Rodríguez, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias. 1361-1362 [doi]
- An Improved Co-evolutionary Decomposition-based Algorithm for Bi-level Combinatorial OptimizationAbir Chaabani, Slim Bechikh, Lamjed Ben Said, Radhia Azzouz. 1363-1364 [doi]
- Is Global Sensitivity Analysis Useful to Evolutionary Computation?Thomas Chabin, Alberto Paolo Tonda, Evelyne Lutton. 1365-1366 [doi]
- Dynamically Adding Sensors to the XCS in Multistep Problems: A Sensor Tagging ApproachLiang-Yu Chen, Po-Ming Lee, Tzu-Chien Hsiao. 1367-1368 [doi]
- On the Automatic Generation of Efficient Parallel Iterative Sorting AlgorithmsGopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan. 1369-1370 [doi]
- Genetic C Programming with Probabilistic EvaluationJacqueline Christmas. 1371-1372 [doi]
- An Empirical Comparison of Genetically Evolved Programs and Evolved Neural Networks for Multi-agent Systems Operating under Dynamic EnvironmentsJaime J. Dávila. 1373-1374 [doi]
- In Search of Optimal Linkage TreesRoy de Bokx, Dirk Thierens, Peter A. N. Bosman. 1375-1376 [doi]
- Variance Reduction in Population-Based Optimization: Application to Unit CommitmentJérémie Decock, Jialin Liu, Olivier Teytaud. 1377-1378 [doi]
- Solving Euclidean Steiner Tree Problems with Multi Swarm OptimizationTom Decroos, Patrick De Causmaecker, Bart Demoen. 1379-1380 [doi]
- Learning from Demonstration for Distributed, Encapsulated Evolution of Autonomous Outdoor RobotsTravis DeVautl, Seth Forrest, Ian Tanimoto, Terence Soule, Robert B. Heckendorn. 1381-1382 [doi]
- Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential EvolutionJosefa Díaz Álvarez, J. Manuel Colmenar, José L. Risco-Martín, Juan Lanchares, Oscar Garnica. 1383-1384 [doi]
- A Multi-objective Evolutionary Algorithm for Rule-based Performance Optimization at Software Architecture LevelXin Du, Youcong Ni, Peng Ye. 1385-1386 [doi]
- Performance Comparison of Ant Colony Algorithms for the Scheduling of Steel Production LinesSilvino Fernandez, Segundo Alvarez, Eneko Malatsetxebarria, Pablo Valledor, Diego Díaz. 1387-1388 [doi]
- Infeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse KinematicsPatryk Filipiak, Krzysztof Michalak, Piotr Lipinski. 1389-1390 [doi]
- Insertion of Artificial Individuals to Increase the Diversity of Multiobjective Evolutionary AlgorithmsJamisson Santana Freitas, Cícero Garrozi, Mêuser Valença. 1391-1392 [doi]
- Learning Based Control of a Fuel Cell Turbine Hybrid Power SystemAndrew Gabler, Mitchell K. Colby, Kagan Tumer. 1393-1394 [doi]
- Runtime Analysis of Evolutionary Diversity Optimization and the Vertex Cover ProblemWanru Gao, Mojgan Pourhassan, Frank Neumann. 1395-1396 [doi]
- Evolving Smart Initial Layouts for Force-Directed Graph DrawingFarshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton. 1397-1398 [doi]
- Identification of Switched Models in Non-Stationary Time Series based on Coordinate-Descent and Genetic AlgorithmMohammad Gorji Sefidmazgi, Mina Moradi Kordmahalleh, Abdollah Homaifar. 1399-1400 [doi]
- Selection Hyper-Heuristic Using a Portfolio of Derivative HeuristicsFrantisek Hruska, Jirí Kubalík. 1401-1402 [doi]
- A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid ResiduesMario Inostroza-Ponta, Camilo Farfán, Márcio Dorn. 1403-1404 [doi]
- New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic SelectionChristopher Jankee, Sébastien Vérel, Bilel Derbel, Cyril Flonlupt. 1405-1406 [doi]
- A Multimodal Optimization and Surprise Based Consensus Community Detection AlgorithmGuanbo Jia, Shan He 0001, Zexuan Zhu, Jing Liu, Ke Tang. 1407-1408 [doi]
- Trading Off Resource Utilization and Task Migrations in Dynamic Load-balancingJuan Luis Jiménez Laredo, Frédéric Guinand, Damien Olivier, Pascal Bouvry. 1409-1410 [doi]
- A Comparative Study Use of OTL for Many-objective OptimizationJinhua Zheng, Hui Bai, Ruimin Shen, Miqing Li. 1411-1412 [doi]
- An Adeaptive Method of Hungarian Mating Schemes in Genetic AlgorithmsChanju Jung, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon. 1413-1414 [doi]
- A Search Based Approach Towards Robust Optimization in Software Product Line ScopingReza Karimpour, Guenther Ruhe. 1415-1416 [doi]
- Enhancing Incremental Ant Colony Algorithm for Continuous Global OptimizationUdit Kumar, Jayadeva, Sumit Soman. 1417-1418 [doi]
- Renumber Coevolutionary Multiswarm Particle Swarm Optimization for Multi-objective Workflow Scheduling on Cloud Computing EnvironmentHai-Hao Li, Zong-Gan Chen, Zhi-hui Zhan, Ke-Jing Du, Jun Zhang. 1419-1420 [doi]
- When Hillclimbers Beat Genetic Algorithms in Multimodal OptimizationFernando G. Lobo, Mosab Bazargani. 1421-1422 [doi]
- Multi-objective Optimization of Sensor Placement to Detect Contamination in Water Distribution NetworksDolores Margarida, Carlos Henggeler Antunes. 1423-1424 [doi]
- Heuristic Search by Particle Swarm Optimization of Boolean Functions for Cryptographic ApplicationsLuca Mariot, Alberto Leporati. 1425-1426 [doi]
- Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution AlgorithmsLuis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph. 1427-1428 [doi]
- Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony PressureMatthew A. Martin, Alex R. Bertels, Daniel R. Tauritz. 1429-1430 [doi]
- Estimating and Predicting Average Likability on Computer-Generated Artwork VariantsJabier Martinez, Gabriele Rossi, Tewfik Ziadi, Tegawendé François D. Assise Bissyandé, Jacques Klein, Yves Le Traon. 1431-1432 [doi]
- Handling Crossover Bias to Improve Diversity in Multiobjective Evolutionary OptimizationJean Paulo Martins, Alexandre C. B. Delbem. 1433-1434 [doi]
- Wave: A Genetic Programming Approach to Divide and ConquerDavid Medernach, Jeannie Fitzgerald, R. Muhammad Atif Azad, Conor Ryan. 1435-1436 [doi]
- MOGCLA: A Multi-Objective Genetic Clustering Algorithm for Large Data AnalysisHéctor David Menéndez, David Camacho. 1437-1438 [doi]
- A Reliable and Computationally Cheap Approach for Finding Robust Optimal SolutionsSeyedali Mirjalili, Andrew Lewis. 1439-1440 [doi]
- Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP TreesSamaneh Sadat Mousavi Astarabadi, Mohammad Mehdi Ebadzadeh. 1441-1442 [doi]
- Fast Pareto Front Approximation for Cloud Instance Pool OptimizationAna-Maria Oprescu, Alexandra (Vintila) Filip, Thilo Kielmann. 1443-1444 [doi]
- Using Novelty-Biased GA to Sample Diversity in Graphs Satisfying ConstraintsPeter Overbury, Luc Berthouze. 1445-1446 [doi]
- Social Specialization of Space: Clustering Households on the French RivieraDenis Pallez, Mathieu Serrurier, Célia da Costa Pereira, Giovanni Fusco, Cristina Cao. 1447-1448 [doi]
- On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony SearchJoão P. Papa, Gustavo Henrique Rosa, Kelton A. P. Costa, Nilceu A. Marana, Walter J. Scheirer, David Daniel Cox. 1449-1450 [doi]
- A Single Population Genetic Programming based Ensemble Learning Approach to Job Shop SchedulingJohn Park, Su Nguyen, Mengjie Zhang, Mark Johnston. 1451-1452 [doi]
- Imbalanced Classification Using Genetically Optimized Random ForestsTodd Perry, Mohamed Bahy Bader-El-Den. 1453-1454 [doi]
- Selection of Auxiliary Objectives in the Travelling Salesman Problem using Reinforcement LearningIrina Petrova, Arina Buzdalova. 1455-1456 [doi]
- Cartesian Genetic Programming Approach for Generating Substitution Boxes of Different SizesStjepan Picek, Julian F. Miller, Domagoj Jakobovic, Lejla Batina. 1457-1458 [doi]
- Denoising Autoencoders for Fast Combinatorial Black Box OptimizationMalte Probst. 1459-1460 [doi]
- On the Uselessness of Finite Benchmarks to Assess Evolutionaryand Swarm MethodsPablo Rabanal, Ismael Rodríguez, Fernando Rubio. 1461-1462 [doi]
- Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential AnalysisAlexander Raß, Manuel Schmitt, Rolf Wanka. 1463-1464 [doi]
- Exploiting Evolutionary Computation in an Industrial Flow for the Development of Code-Optimized Microprocessor Test ProgramsRiccardo Cantoro, Marco Gaudesi, Ernesto Sánchez, Giovanni Squillero. 1465-1466 [doi]
- A Collaborative Strategy to Reduce Initial Setup Requirements of ParamILS using EvoCaMaría-Cristina Riff, Elizabeth Montero. 1467-1468 [doi]
- Using Anti-pheromone to Identify Core Objects for Multidimensional Knapsack Problems: A Two-step Ants based ApproachNicolás Rojas, Elizabeth Montero, María-Cristina Riff. 1469-1470 [doi]
- Evolving Neurocontrollers for the Control of Information Diffusion in Social NetworksAndrew Runka, Tony White. 1471-1472 [doi]
- Evolutionary Cross-Domain Hyper-HeuristicsPatricia Ryser-Welch, Julian F. Miller, Shahriar Asta. 1473-1474 [doi]
- Grid Diversity Operator for Some Population-Based Optimization AlgorithmsAhmed Salah, Emma Hart. 1475-1476 [doi]
- Multi-objective NM-LandscapesRoberto Santana, Alexander Mendiburu, José Antonio Lozano. 1477-1478 [doi]
- An Algebraic Differential Evolution for the Linear Ordering ProblemValentino Santucci, Marco Baioletti, Alfredo Milani. 1479-1480 [doi]
- Potential-Field-Based Unit Behavior Optimization for Balancing in StarCraft IIJonas Schmitt, Sabine Seufert, Christian Zoubek, Harald Köstler. 1481-1482 [doi]
- Momentum Enhanced NeuroevolutionGene I. Sher. 1483-1484 [doi]
- A Novel Heuristic Generator for JSSP Using a Tree-Based Representation of Dispatching RulesKevin Sim, Emma Hart. 1485-1486 [doi]
- Pyramidal Neural Networks with Variable Receptive Fields Designed by Genetic AlgorithmsAlessandra M. Soares, Bruno J. T. Fernandes, Carmelo J. A. Bastos Filho. 1487-1488 [doi]
- A Hybrid Particle Swarm Optimization for Solving Vehicle Routing Problem with Time WindowsThiago Muniz Stehling, Sérgio Ricado D. E. Souza, Moacir F. De França Filho. 1489-1490 [doi]
- Evolutionary Search for An Accurate Contour Segmentation in Histopathological ImagesCatalin Stoean, Ruxandra Stoean, Adrian Sandita, Cristian Mesina, Corina Lavinia Gruia, Daniela Ciobanu. 1491-1492 [doi]
- A Note on Multi-Funnel Functions for Expensive Optimization ScenarioRyoji Tanabe. 1493-1494 [doi]
- An Effective Approach for Adapting the Size of Subcomponents in Large-Scale Optimization with Cooperative CoevolutionGiuseppe A. Trunfio. 1495-1496 [doi]
- A Grid-facilitated AIS-based Network Scheme for Many-objective OptimizationWilburn W. P. Tsang, Henry Y. K. Lau. 1497-1498 [doi]
- Recurrent Cartesian Genetic Programming Applied to Series ForecastingAndrew James Turner, Julian Francis Miller. 1499-1500 [doi]
- Automatic Tuning of Standard PSO VersionsRoberto Ugolotti, Stefano Cagnoni. 1501-1502 [doi]
- Multi-Modal Employee Routing with Time Windows in an Urban EnvironmentNeil B. Urquhart, Emma Hart, Alistair Judson. 1503-1504 [doi]
- Evolutionary Approximation of Complex Digital CircuitsZdenek Vasícek, Lukás Sekanina. 1505-1506 [doi]
- Classifying Maritime Vessels from Satellite Imagery with HyperNEATPhillip Verbancsics, Josh Harguess. 1507-1508 [doi]
- Impact of Speciation Heuristic on Crossover and Search in NEATPhillip Verbancsics. 1509-1510 [doi]
- Dimensionality Reduction in Many-objective Problems Combining PCA and Spectral ClusteringChristian von Lücken, Hugo Monzón, Carlos A. Brizuela, Benjamín Barán. 1511-1512 [doi]
- Crowdseeding Robot DesignMark D. Wagy, Josh C. Bongard. 1513-1514 [doi]
- A Dimension-Decreasing Particle Swarm Optimization Method for Portfolio OptimizationJia-bin Wang, Wei-neng Chen, Jun Zhang, Ying Lin. 1515-1516 [doi]
- Efficient Sampling with Small Populations: a Genetic Algorithm Satisfying Detailed BalanceChris Watkins, Yvonne Buttkewitz. 1517-1518 [doi]
- Software System for Container Vessel Stowage Planning using Genetic AlgorithmMiri Weiss-Cohen, Adi Dahan, Izzik Kaspi. 1519-1520 [doi]
- The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic RegressionDavid Robert White, Shin Yoo, Jeremy Singer. 1521-1522 [doi]
- Enable the XCS to Dynamically Learn Multiple Problems: A Sensor Tagging ApproachYao-Ming Wu, Liang-Yu Chen, Po-Ming Lee, Tzu-Chien Hsiao. 1523-1524 [doi]
- Complete Multi-Objective Coverage with PaCcETLogan Michael Yliniemi, Kagan Tumer. 1525-1526 [doi]
- Model Selection and Overfitting in Genetic Programming: Empirical StudyJan Zegklitz, Petr Posík. 1527-1528 [doi]