Table of Contents

• Some Computational Aspects of Robot Kinematic RedundancyJadran Lenarcic. 1-10 [doi]
• Power Distribution Network Reconfiguration by Evolutionary Integer ProgrammingKaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck. 11-23 [doi]
• In Vivo Veritas: Towards the Evolution of ThingsÁgoston E. Eiben. 24-39 [doi]
• Online Black-Box Algorithm Portfolios for Continuous OptimizationPetr Baudis, Petr Posik. 40-49 [doi]
• Shuffle and Mate: A Dynamic Model for Spatially Structured Evolutionary AlgorithmsCarlos M. Fernandes, Juan Luís Jiménez Laredo, Juan Julián Merelo Guervós, Carlos Cotta, Rafael Nogueras, Agostinho C. Rosa. 50-59 [doi]
• How to Assess Step-Size Adaptation Mechanisms in Randomised SearchNikolaus Hansen, Asma Atamna, Anne Auger. 60-69 [doi]
• Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ESIlya Loshchilov, Marc Schoenauer, Michèle Sebag, Nikolaus Hansen. 70-79 [doi]
• Run-Time Parameter Selection and Tuning for Energy Optimization AlgorithmsIngo Mauser, Marita Dorscheid, Hartmut Schmeck. 80-89 [doi]
• Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using TunersElizabeth Montero, María-Cristina Riff. 90-99 [doi]
• Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson ProblemSamadhi Nallaperuma, Markus Wagner 0007, Frank Neumann. 100-109 [doi]
• Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-RepresentationLuís F. Simões, Dario Izzo, Evert Haasdijk, Ágoston E. Eiben. 110-119 [doi]
• The Baldwin Effect Hinders Self-AdaptationJim Smith. 120-129 [doi]
• On Low Complexity Acceleration Techniques for Randomized OptimizationSebastian Urban Stich. 130-140 [doi]
• Stopping Criteria for Multimodal OptimizationSimon Wessing, Mike Preuss, Heike Trautmann. 141-150 [doi]
• VLR: A Memory-Based Optimization HeuristicHansang Yun, Myoung Hoon Ha, Robert I. McKay. 151-160 [doi]
• A Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem with Total Flow Time CriterionValentino Santucci, Marco Baioletti, Alfredo Milani. 161-170 [doi]
• A Taxonomy of Heterogeneity and Dynamics in Particle Swarm OptimisationHarry Goldingay, Peter R. Lewis. 171-180 [doi]
• Derivation of a Micro-Macro Link for Collective Decision-Making Systems - Uncover Network Features Based on Drift MeasurementsHeiko Hamann, Gabriele Valentini, Yara Khaluf, Marco Dorigo. 181-190 [doi]
• Messy Coding in the XCS Classifier System for Sequence LabelingMasaya Nakata, Tim Kovacs, Keiki Takadama. 191-200 [doi]
• Reevaluating Exponential Crossover in Differential EvolutionRyoji Tanabe, Alex Fukunaga. 201-210 [doi]
• An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data MiningRyan J. Urbanowicz, Gediminas Bertasius, Jason H. Moore. 211-221 [doi]
• A Cooperative Evolutionary Approach to Learn Communities in Multilayer NetworksAlessia Amelio, Clara Pizzuti. 222-232 [doi]
• Novelty Search in Competitive CoevolutionJorge C. Gomes, Pedro Mariano, Anders Lyhne Christensen. 233-242 [doi]
• An Immune-Inspired Algorithm for the Set Cover ProblemAyush Joshi, Jonathan E. Rowe, Christine Zarges. 243-251 [doi]
• Natural Gradient Approach for Linearly Constrained Continuous OptimizationYouhei Akimoto, Shinichi Shirakawa. 252-261 [doi]
• Evolutionary Constrained Optimization for a Jupiter CaptureJérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo. 262-271 [doi]
• Viability Principles for Constrained Optimization Using a (1+1)-CMA-ESAndrea Maesani, Dario Floreano. 272-281 [doi]
• On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation SystemEmma Hart, Kevin Sim. 282-291 [doi]
• Adaptation in Nonlinear Learning Models for Nonstationary TasksWolfgang Konen, Patrick Koch. 292-301 [doi]
• On the Effectiveness of Sampling for Evolutionary Optimization in Noisy EnvironmentsChao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou. 302-311 [doi]
• Evolving Mixtures of n-gram Models for Sequencing and Schedule OptimizationChung-Yao Chuang, Stephen F. Smith. 312-321 [doi]
• A Study on Multimemetic Estimation of Distribution AlgorithmsRafael Nogueras, Carlos Cotta. 322-331 [doi]
• Factoradic Representation for Permutation OptimisationOlivier Regnier-Coudert, John A. W. McCall. 332-341 [doi]
• Combining Model-Based EAs for Mixed-Integer ProblemsKrzysztof L. Sadowski, Dirk Thierens, Peter A. N. Bosman. 342-351 [doi]
• A New EDA by a Gradient-Driven DensityIgnacio Segovia Domínguez, Arturo Hernández Aguirre, S. Ivvan Valdez. 352-361 [doi]
• From Expected Improvement to Investment Portfolio Improvement: Spreading the Risk in Kriging-Based OptimizationRasmus K. Ursem. 362-372 [doi]
• Distance Measures for Permutations in Combinatorial Efficient Global OptimizationMartin Zaefferer, Jörg Stork, Thomas Bartz-Beielstein. 373-383 [doi]
• Boosting Search for Recursive Functions Using Partial Call-TreesBrad Alexander, Brad Zacher. 384-393 [doi]
• Compressing Regular Expression Sets for Deep Packet InspectionAlberto Bartoli, Simone Cumar, Andrea De Lorenzo, Eric Medvet. 394-403 [doi]
• Inferring and Exploiting Problem Structure with Schema GrammarChris R. Cox, Richard A. Watson. 404-413 [doi]
• Bent Function Synthesis by Means of Cartesian Genetic ProgrammingRadek Hrbacek, Vaclav Dvorak. 414-423 [doi]
• Population Exploration on Genotype Networks in Genetic ProgrammingTing Hu, Wolfgang Banzhaf, Jason H. Moore. 424-433 [doi]
• Improving Genetic Programming with Behavioral Consistency MeasureKrzysztof Krawiec, Armando Solar-Lezama. 434-443 [doi]
• On Effective and Inexpensive Local Search Techniques in Genetic Programming RegressionFergal Lane, R. Muhammad Atif Azad, Conor Ryan. 444-453 [doi]
• Combining Semantically-Effective and Geometric Crossover Operators for Genetic ProgrammingTomasz P. Pawlak. 454-464 [doi]
• On the Locality of Standard Search Operators in Grammatical EvolutionAnn Thorhauer, Franz Rothlauf. 465-475 [doi]
• Recurrent Cartesian Genetic ProgrammingAndrew James Turner, Julian Francis Miller. 476-486 [doi]
• An Analysis on Selection for High-Resolution Approximations in Many-Objective OptimizationHernán E. Aguirre, Arnaud Liefooghe, Sébastien Vérel, Kiyoshi Tanaka. 487-497 [doi]
• A Multiobjective Evolutionary Optimization Framework for Protein Purification Process DesignRichard Allmendinger, Suzanne S. Farid. 498-507 [doi]
• Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial OptimizationLeonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle. 508-517 [doi]
• Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-IndicatorKarl Bringmann, Tobias Friedrich, Patrick Klitzke. 518-527 [doi]
• A Provably Asymptotically Fast Version of the Generalized Jensen Algorithm for Non-dominated SortingMaxim Buzdalov, Anatoly Shalyto. 528-537 [doi]
• Clustering-Based Selection for Evolutionary Many-Objective OptimizationRoman Denysiuk, Lino A. Costa, Isabel A. Espírito-Santo. 538-547 [doi]
• On the Impact of Multiobjective Scalarizing FunctionsBilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Vérel. 548-558 [doi]
• Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum SolutionMadalina M. Drugan. 559-568 [doi]
• Optimized Approximation Sets for Low-Dimensional Benchmark Pareto FrontsTobias Glasmachers. 569-578 [doi]
• Start Small, Grow Big? Saving Multi-objective Function EvaluationsTobias Glasmachers, Boris Naujoks, Günter Rudolph. 579-588 [doi]
• Queued Pareto Local Search for Multi-Objective OptimizationMaarten Inja, Chiel Kooijman, Maarten de Waard, Diederik M. Roijers, Shimon Whiteson. 589-599 [doi]
• Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack ProblemsHisao Ishibuchi, Yuki Tanigaki, Hiroyuki Masuda, Yusuke Nojima. 600-610 [doi]
• Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-Based ProblemsPawel Liskowski, Krzysztof Krawiec. 611-620 [doi]
• Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated ObjectivesManuel López-Ibáñez, Arnaud Liefooghe, Sébastien Vérel. 621-630 [doi]
• Racing Multi-objective Selection ProbabilitiesGaétan Marceau-Caron, Marc Schoenauer. 631-640 [doi]
• Shake Them All! - Rethinking Selection and Replacement in MOEA/DGauvain Marquet, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi. 641-651 [doi]
• MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume IndicatorAdriana Menchaca-Mendez, Carlos A. Coello Coello. 652-661 [doi]
• Empirical Performance of the Approximation of the Least Hypervolume ContributorKrzysztof Nowak, Marcus Märtens, Dario Izzo. 662-671 [doi]
• A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary AlgorithmsIryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich, Carlos M. Fonseca. 672-681 [doi]
• Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization ProblemSaúl Zapotecas Martínez, Victor Adrian Sosa-Hernández, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello. 682-691 [doi]
• Travelling Salesman Problem Solved 'in materio' by Evolved Carbon Nanotube DeviceKester Dean Clegg, Julian Francis Miller, Kieran Massey, Mike Petty. 692-701 [doi]
• Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary AlgorithmMario García Valdez, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega. 702-710 [doi]
• PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island ModelAndrea Mambrini, Dario Izzo. 711-720 [doi]
• Evolution-In-Materio: Solving Machine Learning Classification Problems Using MaterialsMaktuba Mohid, Julian Francis Miller, Simon L. Harding, Gunnar Tufte, Odd Rune Lykkebø, Mark K. Massey, Michael C. Petty. 721-730 [doi]
• An Analysis of Migration Strategies in Island-Based Multimemetic AlgorithmsRafael Nogueras, Carlos Cotta. 731-740 [doi]
• Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating ConditionsRichard Allmendinger, Spyridon Gerontas, Nigel John Titchener-Hooker, Suzanne S. Farid. 741-750 [doi]
• A Geometrical Approach to the Incompatible Substructure Problem in Parallel Self-AssemblyNavneet Bhalla, Dhananjay Ipparthi, Eric Klemp, Marco Dorigo. 751-760 [doi]
• Application of Evolutionary Methods to Semiconductor Double-Chirped Mirrors DesignRafal Biedrzycki, Jaroslaw Arabas, Agata Jasik, Michal Szymanski, Pawel Wnuk, Piotr Wasylczyk, Anna Wójcik-Jedlinska. 761-770 [doi]
• Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight DataTravis Desell, Sophine Clachar, James Higgins, Brandon Wild. 771-781 [doi]
• Random Partial Neighborhood Search for University Course Timetabling ProblemYuichi Nagata, Isao Ono. 782-791 [doi]
• Balancing Bicycle Sharing Systems: An Analysis of Path Relinking and Recombination within a GRASP HybridPetrina Papazek, Christian Kloimüllner, Bin Hu, Günther R. Raidl. 792-801 [doi]
• Multiobjective Selection of Input Sensors for SVR Applied to Road Traffic PredictionJiri Petrlik, Otto Fucík, Lukás Sekanina. 802-811 [doi]
• Evolving DPA-Resistant Boolean FunctionsStjepan Picek, Lejla Batina, Domagoj Jakobovic. 812-821 [doi]
• Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean FunctionsStjepan Picek, Elena Marchiori, Lejla Batina, Domagoj Jakobovic. 822-831 [doi]
• A Memetic Algorithm for Multi Layer Hierarchical Ring Network DesignChristian Schauer, Günther R. Raidl. 832-841 [doi]
• Scheduling the English Football League with a Multi-objective Evolutionary AlgorithmR. Lyndon While, Graham Kendall. 842-851 [doi]
• Coupling Evolution and Information Theory for Autonomous Robotic ExplorationGuohua Zhang, Michèle Sebag. 852-861 [doi]
• Local Optima and Weight Distribution in the Number Partitioning ProblemKhulood AlYahya, Jonathan E. Rowe. 862-871 [doi]
• Quasi-Stability of Real Coded Finite PopulationsJaroslaw Arabas, Rafal Biedrzycki. 872-881 [doi]
• On the Use of Evolution Strategies for Optimization on Spherical ManifoldsDirk V. Arnold. 882-891 [doi]
• Unbiased Black-Box Complexity of Parallel SearchGolnaz Badkobeh, Per Kristian Lehre, Dirk Sudholt. 892-901 [doi]
• A Generalized Markov-Chain Modelling Approach to (1, λ)-ES Linear OptimizationAlexandre Adrien Chotard, Martin Holena. 902-911 [doi]
• Level-Based Analysis of Genetic Algorithms and Other Search ProcessesDogan Corus, Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre. 912-921 [doi]
• Maximizing Submodular Functions under Matroid Constraints by Multi-objective Evolutionary AlgorithmsTobias Friedrich, Frank Neumann. 922-931 [doi]
• On the Runtime Analysis of Fitness Sharing MechanismsPietro Simone Oliveto, Dirk Sudholt, Christine Zarges. 932-941 [doi]
• Runtime Analysis of Evolutionary Algorithms on Randomly Constructed High-Density Satisfiable 3-CNF FormulasAndrew M. Sutton, Frank Neumann. 942-951 [doi]