Abstract is missing.
- An Improved Collaborative Filtering Recommendation Algorithm Based on Community Detection in Social NetworksCen Cao, Qingjian Ni, Yuqing Zhai. 1-8 [doi]
- Parameter Estimation in Bayesian Networks Using Overlapping Swarm IntelligenceNathan Fortier, John W. Sheppard, Shane Strasser. 9-16 [doi]
- Robustness of Ant Colony Optimization to NoiseTobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton. 17-24 [doi]
- The Effect of Quantum and Charged Particles on the Performance of the Dynamic Vector-evaluated Particle Swarm Optimisation AlgorithmMardé Helbig, Andries P. Engelbrecht. 25-32 [doi]
- R Local Search by Mtsls1-BFGS for Continuous Global OptimizationUdit Kumar, Jayadeva, Sumit Soman. 33-40 [doi]
- An Ant Colony Optimizing Algorithm Based on Scheduling Preference for Maximizing Working Time of WSNYu Liu, Wei-neng Chen, Xiaomin Hu, Jun Zhang. 41-48 [doi]
- An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman ProblemMichalis Mavrovouniotis, Felipe Martins Müller, Shengxiang Yang. 49-56 [doi]
- Particle Swarm Optimization Based on Linear Assignment Problem TransformationsLuis Miguel Antonio, Carlos Artemio Coello Coello. 57-64 [doi]
- Evolutionary Inheritance Mechanisms for Multi-criteriaDecision Making in Multi-agent SystemsRuby L. V. Moritz, Martin Middendorf. 65-72 [doi]
- The Impact of Centrality on Individual and Collective Performance in Social Problem-Solving SystemsDiego Vrague Noble, Felipe Grando, Ricardo Matsumura de Araújo, Luís da Cunha Lamb. 73-80 [doi]
- Input-to-State Stability Analysis on Particle Swarm OptimizationDaqing Yi, Kevin D. Seppi, Michael A. Goodrich. 81-88 [doi]
- A Set-based Comprehensive Learning Particle Swarm Optimization with Decomposition for Multiobjective Traveling Salesman ProblemXue Yu, Wei-neng Chen, Xiaomin Hu, Jun Zhang. 89-96 [doi]
- An Immuno-inspired Approach Towards Sentence GenerationSamir Borgohain, Shivashankar B. Nair. 97-104 [doi]
- Distinguishing Adaptive Search from Random Search in Robots and T cellsGeorge Matthew Fricke, Sarah R. Black, Joshua P. Hecker, Judy L. Cannon, Melanie E. Moses. 105-112 [doi]
- Securing the Internet of Things with Responsive Artificial Immune SystemsJulie Greensmith. 113-120 [doi]
- TTP Revisited to Solve Relaxed Travel Tournament ProblemElizabeth Montero, María-Cristina Riff. 121-128 [doi]
- Evolving Robot Morphology Facilitates the Evolution of Neural Modularity and EvolvabilityJosh C. Bongard, Anton Bernatskiy, Ken Livingston, Nicholas Livingston, John H. Long, Marc Smith. 129-136 [doi]
- Enhancing a Model-Free Adaptive Controller through Evolutionary ComputationAnthony J. Clark, Philip K. McKinley, Xiaobo Tan. 137-144 [doi]
- Novelty-Based Evolutionary Design of Morphing Underwater RobotsFrancesco Corucci, Marcello Calisti, Helmut Hauser, Cecilia Laschi. 145-152 [doi]
- The Effect of Fitness Function Design on Performance in Evolutionary Robotics: The Influence of a Priori KnowledgeMohammad Divband Soorati, Heiko Hamann. 153-160 [doi]
- Decentralized Innovation Marking for Neural Controllers in Embodied EvolutionIñaki Fernández Pérez, Amine M. Boumaza, François Charpillet. 161-168 [doi]
- Improving Survivability in Environment-driven Distributed Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate CommunicationEmma Hart, Andreas Steyven, Ben Paechter. 169-176 [doi]
- Three-fold Adaptivity in Groups of Robots: The Effect of Social LearningJacqueline Heinerman, Dexter Drupsteen, A. E. Eiben. 177-183 [doi]
- Finding a Mate With No Social SkillsChris Marriott, Jobran Chebib. 185-192 [doi]
- Novelty Search for Soft Robotic Space ExplorationGeorgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser. 193-200 [doi]
- An Embodied Approach for Evolving Robust Visual ClassifiersKarol Zieba, Josh Bongard. 201-208 [doi]
- An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal ClassificationArpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna. 209-216 [doi]
- Evolution Strategies for Exploring Protein Energy LandscapesRudy Clausen, Emmanuel Sapin, Kenneth A. De Jong, Amarda Shehu. 217-224 [doi]
- Metabolic Design And Engineering Through Ant Colony OptimizationStephen Lincoln, Ian Rogers, Ranjan Srivastava. 225-232 [doi]
- Evolutionary Optimization of Cancer Treatments in a Cancer Stem Cell ContextÁngel Monteagudo, José Santos Reyes. 233-240 [doi]
- A Repair Method for Differential Evolution with Combined Variants to Solve Dynamic Constrained Optimization ProblemsMaria Yaneli Ameca-Alducin, Efrén Mezura-Montes, Nicandro Cruz-Ramírez. 241-248 [doi]
- Towards an Augmented Lagrangian Constraint Handling Approach for the (1+1)-ESDirk V. Arnold, Jeremy Porter. 249-256 [doi]
- Global Line Search Algorithm Hybridized with Quadratic Interpolation and Its Extension to Separable FunctionsPetr Baudis, Petr Posík. 257-264 [doi]
- Detecting Funnel Structures by Means of Exploratory Landscape AnalysisPascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann. 265-272 [doi]
- A New Repair Method For Constrained OptimizationPatrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck. 273-280 [doi]
- A CMA-ES with Multiplicative Covariance Matrix UpdatesOswin Krause, Tobias Glasmachers. 281-288 [doi]
- Dichotomy Guided Based Parameter Adaptation for Differential EvolutionXiao-fang Liu, Zhi-hui Zhan, Jun Zhang. 289-296 [doi]
- Towards an Analysis of Self-Adaptive Evolution Strategies on the Noisy Ellipsoid ModelAlexander Melkozerov, Hans-Georg Beyer. 297-304 [doi]
- Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance SamplingShinichi Shirakawa, Youhei Akimoto, Kazuki Ouchi, Kouzou Ohara. 305-312 [doi]
- Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable InteractionsYuan Sun, Michael Kirley, Saman Kumara Halgamuge. 313-320 [doi]
- Interactively Evolving Compositional Sound Synthesis NetworksBjörn Þór Jónsson, Amy K. Hoover, Sebastian Risi. 321-328 [doi]
- Darwin's Avatars: A Novel Combination of Gameplay and Procedural Content GenerationDan Lessin, Sebastian Risi. 329-336 [doi]
- Open Loop Search for General Video Game PlayingDiego Perez Liebana, Jens Dieskau, Martin Hunermund, Sanaz Mostaghim, Simon Lucas. 337-344 [doi]
- Solving Interleaved and Blended Sequential Decision-Making Problems through Modular NeuroevolutionJacob Schrum, Risto Miikkulainen. 345-352 [doi]
- Controlling Crowd Simulations using Neuro-EvolutionSunrise Wang, James Edward Gain, Geoff Stuart Nitschke. 353-360 [doi]
- Hyperheuristics Based on Parametrized Metaheuristic SchemesJosé-Matías Cutillas-Lozano, Domingo Giménez, Francisco Almeida. 361-368 [doi]
- Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem FeaturesFabio Daolio, Arnaud Liefooghe, Sébastien Vérel, Hernán E. Aguirre, Kiyoshi Tanaka. 369-376 [doi]
- On the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms for the Euclidean TSPJérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle. 377-384 [doi]
- Approximate Approaches to the Traveling Thief ProblemHayden Faulkner, Sergey Polyakovskiy, Tom Schultz, Markus Wagner 0007. 385-392 [doi]
- A Genetic Algorithm for Scheduling Electric Vehicle ChargingJorge García-Álvarez, Miguel A. González, Camino R. Vela. 393-400 [doi]
- Predicting Heuristic Search Performance with PageRank Centrality in Local Optima NetworksSebastian Herrmann, Franz Rothlauf. 401-408 [doi]
- Generator Start-up Sequences Optimization for Network Restoration Using Genetic Algorithm and Simulated AnnealingPaul Kaufmann, Cong Shen. 409-416 [doi]
- A Sequence-based Selection Hyper-heuristic Utilising a Hidden Markov ModelAhmed Kheiri, Ed Keedwell. 417-424 [doi]
- Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a VehicleStephan Meisel, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, Heike Trautmann. 425-432 [doi]
- A Dispatching rule based Genetic Algorithm for Order Acceptance and SchedulingSu Nguyen, Mengjie Zhang, Kay Chen Tan. 433-440 [doi]
- Minimizing Regular Objectives for Blocking Permutation Flow Shop Scheduling: Heuristic ApproachesNouha Nouri, Talel Ladhari. 441-448 [doi]
- Tunnelling Crossover NetworksGabriela Ochoa, Francisco Chicano, Renato Tinós, Darrell Whitley. 449-456 [doi]
- Fighting the Symmetries: The Structure of Cryptographic Boolean Function SpacesStjepan Picek, Robert I. McKay, Roberto Santana, Tom D. Gedeon. 457-464 [doi]
- On the Impact of Local Search Operators and Variable Neighbourhood Search for the Generalized Travelling Salesperson ProblemMojgan Pourhassan, Frank Neumann. 465-472 [doi]
- Towards the User Equilibrium in Traffic Assignment Using GRASP with Path RelinkingGabriel de Oliveira Ramos, Ana Lúcia Cetertich Bazzan. 473-480 [doi]
- Guiding Evolutionary Search with Association Rules for Solving Weighted CSPsMadalina Raschip, Cornelius Croitoru, Kilian Stoffel. 481-488 [doi]
- A Novel Diversity-based Evolutionary Algorithm for the Traveling Salesman ProblemCarlos Segura, Salvador Botello Rionda, Arturo Hernández Aguirre, Sergio Ivvan Valdez Peña. 489-496 [doi]
- A Visual Method for Analysis and Comparison of Search LandscapesSebastian Volke, Dirk Zeckzer, Gerik Scheuermann, Martin Middendorf. 497-504 [doi]
- Kernels of Mallows Models for Solving Permutation-based ProblemsJosu Ceberio, Alexander Mendiburu, José Antonio Lozano. 505-512 [doi]
- Simplified Runtime Analysis of Estimation of Distribution AlgorithmsDuc-Cuong Dang, Per Kristian Lehre. 513-518 [doi]
- Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-IIShih-Huan Hsu, Tian-Li Yu. 519-526 [doi]
- An Estimation of Distribution Algorithm based on the Natural Gradient and the Boltzmann DistributionIgnacio Segovia-Dominguez, Arturo Hernández Aguirre. 527-534 [doi]
- Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal MixingYu-Fan Tung, Tian-Li Yu. 535-542 [doi]
- Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network LearningJuan Ignacio Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John A. W. McCall, José A. Gámez, José Miguel Puerta. 543-550 [doi]
- Genetically-regulated Neuromodulation Facilitates Multi-Task Reinforcement LearningSylvain Cussat-Blanc, Kyle Ira Harrington. 551-558 [doi]
- Simpler is Better: a Novel Genetic Algorithm to Induce Compact Multi-label Chain ClassifiersEduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas. 559-566 [doi]
- High-Dimensional Function Approximation for Knowledge-Free Reinforcement Learning: a Case Study in SZ-TetrisWojciech Jaskowski, Marcin Grzegorz Szubert, Pawel Liskowski, Krzysztof Krawiec. 567-573 [doi]
- Subspace Clustering Using Evolvable Genome StructureSergio Peignier, Christophe Rigotti, Guillaume Beslon. 575-582 [doi]
- Multiple Imputation for Missing Data Using Genetic ProgrammingCao Truong Tran, Mengjie Zhang, Peter Andreae. 583-590 [doi]
- Retooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier SystemRyan J. Urbanowicz, Jason H. Moore. 591-598 [doi]
- A PSO Approach to Semivectorial Bilevel Programming: Pessimistic, Optimistic and Deceiving SolutionsMaria João Alves, Carlos Henggeler Antunes, Pedro Carrasqueira. 599-606 [doi]
- Characterizing Pareto Front Approximations in Many-objective OptimizationMd. Asafuddoula, Tapabrata Ray, Hemant Kumar Singh. 607-614 [doi]
- Multi-objective Optimization with Dynamic Constraints and Objectives: New Challenges for Evolutionary AlgorithmsRadhia Azzouz, Slim Bechikh, Lamjed Ben Said. 615-622 [doi]
- Finding the Trade-off between Robustness and Worst-case QualityJürgen Branke, Ke Lu. 623-630 [doi]
- Obtaining Optimal Pareto Front Approximations using Scalarized Preference InformationMarlon Alexander Braun, Pradyumn Kumar Shukla, Hartmut Schmeck. 631-638 [doi]
- Benchmarking Numerical Multiobjective Optimizers RevisitedDimo Brockhoff, Thanh-Do Tran, Nikolaus Hansen. 639-646 [doi]
- Fast Implementation of the Steady-State NSGA-II Algorithm for Two Dimensions Based on Incremental Non-Dominated SortingMaxim Buzdalov, Ilya Yakupov, Andrey Stankevich. 647-654 [doi]
- An Approach to Mitigating Unwanted Interactions between Search Operators in Multi-Objective OptimizationChad Michael Byers, Betty H. C. Cheng. 655-662 [doi]
- MOEA/VAN: Multiobjective Evolutionary Algorithm Based on Vector Angle NeighborhoodRoman Denysiuk, Lino A. Costa, Isabel A. Espírito-Santo. 663-670 [doi]
- Greedy Hypervolume Subset Selection in the Three-Objective CaseAndreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete. 671-678 [doi]
- Improved Metaheuristic Based on the R2 Indicator for Many-Objective OptimizationRaquel Hernández Gómez, Carlos A. Coello Coello. 679-686 [doi]
- Parallel Multi-Objective Evolutionary Design of Approximate CircuitsRadek Hrbacek. 687-694 [doi]
- A Study on Performance Evaluation Ability of a Modified Inverted Generational Distance IndicatorHisao Ishibuchi, Hiroyuki Masuda, Yusuke Nojima. 695-702 [doi]
- A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective OptimizationMiqing Li, Shengxiang Yang, Xiaohui Liu. 703-710 [doi]
- Improving Robustness of Stopping Multi-objective Evolutionary Algorithms by Simultaneously Monitoring Objective and Decision SpaceMd. Shahriar Mahbub, Tobias Wagner, Luigi Crema. 711-718 [doi]
- On Maintaining Diversity in MOEA/D: Application to a Biobjective Combinatorial FJSPJuan José Palacios Alonso, Bilel Derbel. 719-726 [doi]
- Incorporating User Preferences in MOEA/D through the Coevolution of WeightsMartin Pilát, Roman Neruda. 727-734 [doi]
- Analysis of Objectives Relationships in Multiobjective Problems Using Trade-Off Region MapsRodrigo Lankaites Pinheiro, Dario Landa Silva, Jason Atkin. 735-742 [doi]
- A New Framework for Self-adapting Control Parameters in Multi-objective OptimizationXin Qiu, Weinan Xu, Jian-Xin Xu, Kay Chen Tan. 743-750 [doi]
- Multi-Objective BDD Optimization with Evolutionary AlgorithmsSaeideh Shirinzadeh, Mathias Soeken, Rolf Drechsler. 751-758 [doi]
- Empirical Study of Multi-objective Ant Colony Optimization to Software Project Scheduling ProblemsJing Xiao, Mei-Ling Gao, Min-Mei Huang. 759-766 [doi]
- Improved Sampling of Decision Space for Pareto EstimationYiming Yan, Ioannis Giagkiozis, Peter J. Fleming. 767-774 [doi]
- An Experimental Investigation of Variation Operators in Reference-Point Based Many-Objective OptimizationYuan Yuan, Hua Xu, Bo Wang. 775-782 [doi]
- Injecting CMA-ES into MOEA/DSaúl Zapotecas Martínez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán E. Aguirre, Kiyoshi Tanaka. 783-790 [doi]
- A Tensor Analysis Improved Genetic Algorithm for Online Bin PackingShahriar Asta, Ender Ozcan. 799-806 [doi]
- A Genetic Algorithm to Solve a Real 2-D Cutting Stock Problem with Setup Cost in the Paper IndustryStéphane Bonnevay, Philippe Aubertin, Gérald Gavin. 807-814 [doi]
- Money for Nothing: Speeding Up Evolutionary Algorithms Through Better InitializationAxel de Perthuis de Laillevault, Benjamin Doerr, Carola Doerr. 815-822 [doi]
- A Genetic Algorithm for Searching the Shortest Lattice Vector of SVP ChallengeDan Ding, Guizhen Zhu, Xiaoyun Wang. 823-830 [doi]
- Solving Problems with Unknown Solution Length at (Almost) No Extra CostBenjamin Doerr, Carola Doerr, Timo Kötzing. 831-838 [doi]
- Elitist Black-Box Models: Analyzing the Impact of Elitist Selection on the Performance of Evolutionary AlgorithmsCarola Doerr, Johannes Lengler. 839-846 [doi]
- Reconstructing Cross-Cut Shredded Text Documents: A Genetic Algorithm with Splicing-Driven ReproductionYong-Feng Ge, Yue-jiao Gong, Wei jie Yu, Xiaomin Hu, Jun Zhang. 847-853 [doi]
- Gray-Box Optimization using the Parameter-less Population PyramidBrian W. Goldman, William F. Punch. 855-862 [doi]
- Adaptive Control of Parameter-less Population Pyramid on the Local Distribution of Inferior IndividualsKazuyuki Inoue, Taku Hasegawa, Yuta Araki, Naoki Mori, Keinosuke Matsumoto. 863-870 [doi]
- Evolutionary Bilevel Optimization for Complex Control TasksJason Zhi Liang, Risto Miikkulainen. 871-878 [doi]
- A New Perspective on Channel Allocation in WLAN: Considering the Total Marginal Utility of the Connections for the UsersThiago A. Luiz, Alan R. R. de Freitas, Frederico G. Guimarães. 879-886 [doi]
- Parasite Diversity in Symbiogenetic Multiset Genetic Algorithm: Optimization of Large Binary ProblemsAntónio Manuel Rodrigues Manso, Luís Miguel Parreira Correia. 887-894 [doi]
- An Empirical Analysis on Dimensionality in Cellular Genetic AlgorithmsAlicia Morales-Reyes, Hugo Jair Escalante, Martin Letras, René Cumplido. 895-902 [doi]
- Maintaining 2-Approximations for the Dynamic Vertex Cover Problem Using Evolutionary AlgorithmsMojgan Pourhassan, Wanru Gao, Frank Neumann. 903-910 [doi]
- A Clustering-Based Model-Building EA for Optimization Problems with Binary and Real-Valued VariablesKrzysztof L. Sadowski, Peter A. N. Bosman, Dirk Thierens. 911-918 [doi]
- A Biased Random-key Genetic Algorithm for Placement of Virtual Machines across Geo-Separated Data CentersFernando Stefanello, Vaneet Aggarwal, Luciana Salete Buriol, José Fernando Gonçalves, Mauricio G. C. Resende. 919-926 [doi]
- Mk Landscapes, NK Landscapes, MAX-kSAT: A Proof that the Only Challenging Problems are DeceptiveDarrell Whitley. 927-934 [doi]
- Evolving Soft Robots in Tight SpacesNick Cheney, Josh Bongard, Hod Lipson. 935-942 [doi]
- Devising Effective Novelty Search Algorithms: A Comprehensive Empirical StudyJorge C. Gomes, Pedro Mariano, Anders Lyhne Christensen. 943-950 [doi]
- Enhancing Divergent Search through Extinction EventsJoel Lehman, Risto Miikkulainen. 951-958 [doi]
- Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep LearningAnh Mai Nguyen, Jason Yosinski, Jeff Clune. 959-966 [doi]
- Confronting the Challenge of Quality DiversityJustin K. Pugh, L. B. Soros, Paul A. Szerlip, Kenneth O. Stanley. 967-974 [doi]
- Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature ExtractionHarith Al-Sahaf, Mengjie Zhang, Mark Johnston. 975-982 [doi]
- Building Predictive Models via Feature SynthesisIgnacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni. 983-990 [doi]
- An Efficient Structural Diversity Technique for Genetic ProgrammingArmand R. Burks, William F. Punch. 991-998 [doi]
- Geometric Semantic Genetic Programming with Local SearchMauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand. 999-1006 [doi]
- Performance Optimization of Multi-Core Grammatical Evolution Generated Parallel Recursive ProgramsGopinath Chennupati, R. Muhammad Atif Azad, Conor Ryan. 1007-1014 [doi]
- A Re-Examination of the Use of Genetic Programming on the Oral Bioavailability ProblemGrant Dick, Aysha P. Rimoni, Peter A. Whigham. 1015-1022 [doi]
- Memetic Semantic Genetic ProgrammingRobyn Ffrancon, Marc Schoenauer. 1023-1030 [doi]
- Strength Through Diversity: Disaggregation and Multi-Objectivisation Approaches for Genetic ProgrammingJonathan E. Fieldsend, Alberto Moraglio. 1031-1038 [doi]
- General Program Synthesis Benchmark SuiteThomas Helmuth, Lee Spector. 1039-1046 [doi]
- A GP-based Video Game PlayerBaozhu Jia, Marc Ebner, Christian Schack. 1047-1053 [doi]
- Genetic Programming with Epigenetic Local SearchWilliam La Cava, Thomas Helmuth, Lee Spector, Kourosh Danai. 1055-1062 [doi]
- Improving CUDA DNA Analysis Software with Genetic ProgrammingWilliam B. Langdon, Brian Yee Hong Lam, Justyna Petke, Mark Harman. 1063-1070 [doi]
- Efficient Evolution of High Entropy RNGs Using Single Node Genetic ProgrammingPhilip Leonard, David Jackson. 1071-1078 [doi]
- Impact of Crossover Bias in Genetic ProgrammingNicholas Freitag McPhee, M. Kirbie Dramdahl, David Donatucci. 1079-1086 [doi]
- GEFPSO: A Framework for PSO Optimization based on Grammatical EvolutionPéricles Barbosa Miranda, Ricardo Bastos Prudêncio. 1087-1094 [doi]
- Correlation Immunity of Boolean Functions: An Evolutionary Algorithms PerspectiveStjepan Picek, Claude Carlet, Domagoj Jakobovic, Julian F. Miller, Lejla Batina. 1095-1102 [doi]
- On the Bias of Syntactic Geometric Recombination in Genetic Programming and Grammatical EvolutionAnn Thorhauer, Franz Rothlauf. 1103-1110 [doi]
- Examining the "Best of Both Worlds" of Grammatical EvolutionPeter A. Whigham, Grant Dick, James MacLaurin, Caitlin A. Owen. 1111-1118 [doi]
- Using Model Checking Techniques For Evaluating the Effectiveness of Evolutionary Computing in Synthesis of Distributed Fault-Tolerant ProgramsLing Zhu, Sandeep S. Kulkarni. 1119-1126 [doi]
- Multiple Objective Vector-Based Genetic Programming Using Human-Derived PrimitivesJason Zutty, Daniel Long, Heyward Adams, Gisele Bennett, Christina Baxter. 1127-1134 [doi]
- Evolving Strategies for Social Innovation GamesErkin Bahçeci, Riitta Katila, Risto Miikkulainen. 1135-1142 [doi]
- Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex TaskStephen Kelly, Malcolm I. Heywood. 1143-1150 [doi]
- A Local Search Approach to Genetic Programming for Binary ClassificationEmigdio Z.-Flores, Leonardo Trujillo, Oliver Schütze, Pierrick Legrand. 1151-1158 [doi]
- Fast Knowledge Discovery in Time Series with GPGPU on Genetic ProgrammingSungjoo Ha, Byung Ro Moon. 1159-1166 [doi]
- Injection, Saturation and Feedback in Meta-Heuristic InteractionsKrzysztof Nowak, Dario Izzo, Daniel Hennes. 1167-1174 [doi]
- A Model with Evolutionary Covariance-based Learning for High-Frequency Financial ForecastingRicardo de A. Araújo, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira. 1175-1182 [doi]
- Evolutionary Learning of Syntax Patterns for Genic Interaction ExtractionAlberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao, Marco Virgolin. 1183-1190 [doi]
- A Closer Look At Differential Evolution For The Optimal Well Placement ProblemGrazieli Luiza Costa Carosio, Thomas Donald Humphries, Ronald Dale Haynes, Colin Glennie Farquharson. 1191-1198 [doi]
- An Integrated Approach to Stage 1 Breast Cancer DetectionJeannie M. Fitzgerald, Conor Ryan, David Medernach, Krzysztof Krawiec. 1199-1206 [doi]
- Evolving Solutions to TSP Variants for Active Space Debris RemovalDario Izzo, Ingmar Getzner, Daniel Hennes, Luís Felismino Simões. 1207-1214 [doi]
- Finding an Optimal LEGO® Brick Layout of Voxelized 3D Object Using a Genetic AlgorithmSangyeop Lee, Jinhyun Kim, Jae-Woo Kim, Byung Ro Moon. 1215-1222 [doi]
- On Evolutionary Approaches to Wind Turbine Placement with Geo-ConstraintsDaniel Lückehe, Markus Wagner, Oliver Kramer. 1223-1230 [doi]
- Exploiting Linkage Information and Problem-Specific Knowledge in Evolutionary Distribution Network Expansion PlanningHoang Ngoc Luong, Han La Poutré, Peter A. N. Bosman. 1231-1238 [doi]
- Selecting Best Investment Opportunities from Stock Portfolios Optimized by a Multiobjective Evolutionary AlgorithmKrzysztof Michalak. 1239-1246 [doi]
- Diversity Guided Evolutionary Mining of Hierarchical Process ModelsThomas Molka, David Redlich, Marc Drobek, Xiao-Jun Zeng, Wasif Gilani. 1247-1254 [doi]
- Diversifying Multi-Objective Gradient Techniques and their Role in Hybrid Multi-Objective Evolutionary Algorithms for Deformable Medical Image RegistrationKleopatra Pirpinia, Tanja Alderliesten, Jan-Jakob Sonke, Marcel van Herk, Peter A. N. Bosman. 1255-1262 [doi]
- Efficient Sampling of PI Controllers in Evolutionary Multiobjective OptimizationGilberto Reynoso-Meza, Leandro dos Santos Coelho, Roberto Zanetti Freite. 1263-1270 [doi]
- Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular MarkersShana Schlottfeldt, Maria Emilia M. T. Walter, Jon Timmis, Andre C. P. L. F. Carvalho, Mariana P. C. Telles, José Alexandre Felizola Diniz-Filho. 1271-1278 [doi]
- Genetic Programming for Estimation of Heat Flux between the Atmosphere and Sea Ice in Polar RegionsKarolina Stanislawska, Krzysztof Krawiec, Timo Vihma. 1279-1286 [doi]
- Smart Mobility Policies with Evolutionary Algorithms: The Adapting Info Panel CaseDaniel H. Stolfi, Enrique Alba. 1287-1294 [doi]
- A Genetic Programming Approach to Cost-Sensitive Control in Resource Constrained Sensor SystemsAfsoon Yousefi Zowj, Josh C. Bongard, Christian Skalka. 1295-1302 [doi]
- Extracting Variability-Safe Feature Models from Source Code Dependencies in System VariantsWesley Klewerton Guez Assunção, Roberto Erick Lopez-Herrejon, Lukas Linsbauer, Silvia Regina Vergilio, Alexander Egyed. 1303-1310 [doi]
- Operator Selection using Improved Dynamic Multi-Armed BanditJany Belluz, Marco Gaudesi, Giovanni Squillero, Alberto Paolo Tonda. 1311-1317 [doi]
- Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected ImprovementJakob Bossek, Bernd Bischl, Tobias Wagner, Günter Rudolph. 1319-1326 [doi]
- Reducing Energy Consumption Using Genetic ImprovementBobby R. Bruce, Justyna Petke, Mark Harman. 1327-1334 [doi]
- Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete SettingsBenjamin Doerr, Carola Doerr. 1335-1342 [doi]
- A Hyper-Heuristic for the Multi-Objective Integration and Test Order ProblemGiovani Guizzo, Gian Mauricio Fritsche, Silvia Regina Vergilio, Aurora Trinidad Ramirez Pozo. 1343-1350 [doi]
- Web Service Antipatterns Detection Using Genetic ProgrammingAli Ouni 0001, Raula Gaikovina Kula, Marouane Kessentini, Katsuro Inoue. 1351-1358 [doi]
- Heuristic Model Checking using a Monte-Carlo Tree Search AlgorithmSimon M. Poulding, Robert Feldt. 1359-1366 [doi]
- Random or Genetic Algorithm Search for Object-Oriented Test Suite Generation?Sina Shamshiri, José Miguel Rojas, Gordon Fraser, Phil McMinn. 1367-1374 [doi]
- Deep Parameter OptimisationFan Wu, Westley Weimer, Mark Harman, Yue Jia, Jens Krinke. 1375-1382 [doi]
- SPRINT Multi-Objective Model RacingTiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos. 1383-1390 [doi]
- An Evolutionary Game Theoretic Analysis of Difference Evaluation FunctionsMitchell K. Colby, Kagan Tumer. 1391-1398 [doi]
- On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit MutationsDogan Corus, Jun He, Thomas Jansen 0001, Pietro Simone Oliveto, Dirk Sudholt, Christine Zarges. 1399-1406 [doi]
- Populations can be Essential in Dynamic OptimisationDuc-Cuong Dang, Thomas Jansen, Per Kristian Lehre. 1407-1414 [doi]
- Improved Runtime Bounds for the (1+1) EA on Random 3-CNF Formulas Based on Fitness-Distance CorrelationBenjamin Doerr, Frank Neumann, Andrew M. Sutton. 1415-1422 [doi]
- A Tight Runtime Analysis of the (1+(λ, λ)) Genetic Algorithm on OneMaxBenjamin Doerr, Carola Doerr. 1423-1430 [doi]
- OneMax in Black-Box Models with Several RestrictionsCarola Doerr, Johannes Lengler. 1431-1438 [doi]
- Population Size vs. Mutation Strength for the (1+λ) EA on OneMaxChristian Gießen, Carsten Witt. 1439-1446 [doi]
- On the Utility of Island Models in Dynamic OptimizationAndrei Lissovoi, Carsten Witt. 1447-1454 [doi]
- First Steps Towards a Runtime Comparison of Natural and Artificial EvolutionTiago Paixão, Jorge Pérez Heredia, Dirk Sudholt, Barbora Trubenová. 1455-1462 [doi]