Table of Contents

• Asynchronous Steady State Particle SwarmCarlos M. Fernandes, Juan Julián Merelo Guervós, Agostinho C. Rosa. 1-2 [doi]
• Ant Colony Optimization Beats Resampling on Noisy FunctionsTobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton. 3-4 [doi]
• Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local SearchNina Bulanova, Arina Buzdalova, Maxim Buzdalov. 5-6 [doi]
• Exploiting the Plasticity of Primary and Secondary Response Mechanisms in Artificial Immune SystemsJulie Greensmith, Andrew M. Jackson, Ian Spendlove. 7-8 [doi]
• Metabolite Overproduction through Engineering and Optimization of Microbiome Composition DynamicsStephen Lincoln, Jacquelynn Benjamino, Joerg Graf, Ranjan Srivastava. 9-10 [doi]
• VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune SystemLuis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer. 11-12 [doi]
• Using Multiobjective Evolutionary Algorithms to Understand Parkinson's DiseaseMarta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones. 13-14 [doi]
• A Multi-objective Optimization Approach for Generating Complex NetworksViplove Arora, Mario Ventresca. 15-16 [doi]
• A Morphogenetic Design Strategy Using a Composite CA ModelCamilo Cruz, Justyna Karakiewicz, Michael Kirley. 17-18 [doi]
• An Extended Study of Quality Diversity AlgorithmsJustin K. Pugh, L. B. Soros, Kenneth O. Stanley. 19-20 [doi]
• Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEATJacob Schrum, Joel Lehman, Sebastian Risi. 21-22 [doi]
• Exploring Conflicting Objectives with MADNS: Multiple Assessment Directed Novelty SearchDavy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins. 23-24 [doi]
• What Factors Drive the Evolution of Mutualism?Anya E. Vostinar, Luis Zaman, Charles Ofria. 25-26 [doi]
• Evolving Novel Cellular Automaton Seeds Using Compositional Pattern Producing Networks (CPPN)Joshuah Wolper, George Abraham. 27-28 [doi]
• Contextual Stochastic SearchAbbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann. 29-30 [doi]
• Diversity-Based Multi-Population Differential Evolution for Large-Scale OptimizationYong-Feng Ge, Wei jie Yu, Jun Zhang. 31-32 [doi]
• Multilevel Evolution Strategies for Multigrid ProblemsOfer M. Shir. 33-34 [doi]
• QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal ProblemsFabien Teytaud, Olivier Teytaud. 35-36 [doi]
• An Evo-Devo System for Algorithmic Composition that Actually WorksDavid Daniel Albarracín-Molina, Juan C. Moya, Francisco J. Vico. 37-38 [doi]
• Evolutionary Procedural 2D Map Generation using Novelty SearchAndreas Scheibenpflug, Johannes Karder, Susanne Schaller, Stefan Wagner 0002, Michael Affenzeller. 39-40 [doi]
• Interactive Super Mario Bros EvolutionPatrikk D. Sørensen, Jeppeh M. Olsen, Sebastian Risi. 41-42 [doi]
• Search Space Exploration and an Optimization Criterion for Hard Design ProblemsPierre Bergé, Kaourintin Le Guiban, Arpad Rimmel, Joanna Tomasik. 43-44 [doi]
• Experimental Study of Automated Parameter Tuning on the Example of irace and the Traveling Salesman ProblemDaniil Chivilikhin. 45-46 [doi]
• A Novel Co-evolutionary Approach for Constrained Genetic AlgorithmsEmmanuel Kieffer, Mateusz Guzek, Grégoire Danoy, Pascal Bouvry, Anass Nagih. 47-48 [doi]
• Solving Maximum Cut Problem with an Incremental Genetic AlgorithmJinhyun Kim, Yourim Yoon, Byung Ro Moon. 49-50 [doi]
• Efficient Stochastic Local Search for Modularity MaximizationRafael Santiago, Luís C. Lamb. 51-52 [doi]
• Iterated Local Search Based Heuristic for Scheduling Jobs on Unrelated Parallel Machines with Machine Deterioration EffectVívian L. Aguiar Santos, José Elías C. Arroyo, Thales F. M. Carvalho. 53-54 [doi]
• Toward the Design of Efficient Pivoting Rules for Local SearchSara Tari, Matthieu Basseur, Adrien Goëffon. 55-56 [doi]
• Hybridizing Different Local Search Algorithms with Each Other and Evolutionary Computation: Better Performance on the Traveling Salesman ProblemYuezhong Wu, Thomas Weise, Weichen Liu. 57-58 [doi]
• A Coevolution Genetic Algorithm for Conflict Resolution of Multi-user Satellite Observation ActivitiesBaorong Zhai, Hao Chen, Jun Li 0020, Ning Jing. 59-60 [doi]
• Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen ProgrammingVinicius Veloso de Melo, Wolfgang Banzhaf. 61-62 [doi]
• Inspecting the Latent Space of Stock Market Data with Genetic ProgrammingSungjoo Ha, Sangyeop Lee, Byung Ro Moon. 63-64 [doi]
• Evolving Augmented Graph Grammars for Argument AnalysisCollin F. Lynch, Linting Xue, Min Chi. 65-66 [doi]
• Variance-based Learning Classifier System without Convergence of Reward EstimationTakato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama. 67-68 [doi]
• Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval FunctionsCao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue. 69-70 [doi]
• A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective OptimizationMd. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray. 71-72 [doi]
• Local Search Move Strategies within MOEA/DBilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka. 73-74 [doi]
• Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization AlgorithmsAbhinav Gaur, Kalyanmoy Deb. 75-76 [doi]
• Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local SearchesHaitham Ahmed Seada, Mohamed Abouhawwash, Kalyanmoy Deb. 77-78 [doi]
• Approximate BDD Optimization with Prioritized ε-Preferred Evolutionary AlgorithmSaeideh Shirinzadeh, Mathias Soeken, Daniel Große, Rolf Drechsler. 79-80 [doi]
• Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristicDavid J. Walker, Ed Keedwell. 81-82 [doi]
• Weighted Optimization Framework for Large-scale Multi-objective OptimizationHeiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima. 83-84 [doi]
• Investigation on Parameterless Schemes for DSMGA-IIChia-Hua Chang, Tian-Li Yu. 85-86 [doi]
• A Novel GA-based Feature Selection Approach for High Dimensional DataClaudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca. 87-88 [doi]
• A GA-Inspired Approach to the Reduction of Edge Crossings in Force-Directed LayoutsFarshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton. 89-90 [doi]
• A Homologous Gene Replacement based Genetic AlgorithmSumaiya Iqbal, Md. Tamjidul Hoque. 91-92 [doi]
• mpEAd: Multi-Population EA DiagramsSebastian Lenartowicz, Mark Wineberg. 93-94 [doi]
• Maintaining Genetic Diversity in Multimodal Evolutionary Algorithms using Population InjectionRobin Mueller-Bady, Martin Kappes, Inmaculada Medina-Bulo, Francisco Palomo-Lozano. 95-96 [doi]
• Simultaneous Synthesis of Multiple Functions using Genetic Programming with ScaffoldingIwo Bladek, Krzysztof Krawiec. 97-98 [doi]
• Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming ApproachIvo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli. 99-100 [doi]
• Finding Nonlinear Relationships in fMRI Time Series with Symbolic RegressionJames Alexander Hughes, Mark Daley. 101-102 [doi]
• A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from DataQuang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray. 103-104 [doi]
• On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic CircuitsFrancisco A. L. Manfrini, Heder S. Bernardino, Helio J. C. Barbosa. 105-106 [doi]
• Evolving Attackers against Wireless Sensor NetworksKinga Mrugala, Nilufer Tuptuk, Stephen Hailes. 107-108 [doi]
• Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance MetricsJohn Park, Yi Mei, Gang Chen, Mengjie Zhang. 109-110 [doi]
• Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing ProblemsAlejandro Sosa-Ascencio, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos. 111-112 [doi]
• Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module AcquisitionLéo Françoso Dal Piccol Sotto, Vinicius Veloso de Melo. 113-114 [doi]
• Recombination Hotspots Promote the Evolvability of Modular SystemsAri Larson, Anton Bernatskiy, Collin Cappelle, Kenneth R. Livingston, Nicholas Livingston, John H. Long, Jodi Schwarz, Marc Smith, Josh C. Bongard. 115-116 [doi]
• Parallel Differential Evolution Based on Distributed Cloud Computing Resources for Power Electronic Circuit OptimizationXiao-fang Liu, Zhi-hui Zhan, Jun-Hao Lin, Jun Zhang. 117-118 [doi]
• A New Hybrid GPU-PSO Approach for Solving Max-CSPsNarjess Dali, Sadok Bouamama. 119-120 [doi]
• Develop, Deploy and Execute Parallel Genetic Algorithms in the CloudPasquale Salza, Filomena Ferrucci, Federica Sarro. 121-122 [doi]
• Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain ConditionsAli Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan. 123-124 [doi]
• Introducing Pareto-based MOEA to Neurosurgery Preoperative Path PlanningNoura Hamze, Pierre Collet, Caroline Essert. 125-126 [doi]
• Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary AlgorithmsPiotr Lipinski, Krzysztof Michalak, Adrian Lancucki. 127-128 [doi]
• Mechanical Modeling with Particle Swarm Optimization Algorithm for Braided Bicomponent Ureteral StentXiaoyan Liu, Feng Li, Yongsheng Ding, Lu Wang, Kuangrong Hao. 129-130 [doi]
• A Graph-based QoS-Aware Method for Web Service Composition with BranchingAlexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang. 131-132 [doi]
• Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural NetworksGorka Sorrosal, Cruz E. Borges, Martin Holeña, Ana María Macarulla, Cristina Martin, Ainhoa Alonso-Vicario. 133-134 [doi]
• Co-evolution of Sensor Morphology and BehaviorTerence Soule, Barrie D. Robison, Robert B. Heckendorn. 135-136 [doi]
• Configuring a Stigmergy-based Traffic Light ControllerJérémie Dubois-Lacoste, Thomas Stützle. 137-138 [doi]
• Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time WindowsDavid Espinoza-Nevárez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Gustavo Gatica. 139-140 [doi]
• Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter RangeArkady Rost, Irina Petrova, Arina Buzdalova. 141-142 [doi]
• Exploiting Antipheromone in Ant Colony Optimisation for Interactive Search-Based Software Design and RefactoringChristopher L. Simons, Jim Smith. 143-144 [doi]
• Curious: Searching for Unknown Regions of Space with a Subpopulation-based AlgorithmDanilo Vasconcellos Vargas, Junichi Murata. 145-146 [doi]
• An Algorithm for Computing Lower Bounds for Unrestricted Black-Box ComplexitiesMaxim Buzdalov. 147-148 [doi]
• Principled Evolutionary Algorithm Design and the Kernel TrickFergal Lane, R. Muhammad Atif Azad, Conor Ryan. 149-150 [doi]
• On the Capacity of Evolution Strategies to Statistically Learn the LandscapeOfer M. Shir, Jonathan Roslund, Amir Yehudayoff. 151-152 [doi]
• Model-Based Relative Entropy Stochastic SearchAbbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters 0001, Gerhard Neumann. 153-154 [doi]
• On the Automatic Construction of Regular Expressions from Examples (GP vs. Humans 1-0)Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao. 155-156 [doi]
• Evolution of Complex Emergent Behaviour in Multi-State Cellular AutomataMichal Bidlo. 157-158 [doi]
• Unleashing the Potential of Evolutionary Swarm Robotics in the Real WorldMiguel Duarte, Vasco Costa, Jorge C. Gomes, Tiago Rodrigues, Fernando Silva, Sancho Moura Oliveira, Anders Lyhne Christensen. 159-160 [doi]
• The Benefit of Recombination in Noisy Evolutionary SearchTobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton. 161-162 [doi]
• Online Discovery of Search Objectives for Test-based ProblemsPawel Liskowski, Krzysztof Krawiec. 163-164 [doi]
• The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic AlgorithmJakub Nalepa, Michal Kawulok. 165-166 [doi]
• Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary AlgorithmXuewei Qi, Matthew J. Barth, Guoyuan Wu, Kanok Boriboonsomsin. 167-168 [doi]
• Introduction to Complex NetworksMarco Tomassini. 169-184 [doi]
• Evolutionary Computation: A Unified ApproachKenneth De Jong. 185-199 [doi]
• GECCO 2016 Tutorial on Evolutionary Multiobjective OptimizationDimo Brockhoff, Tobias Wagner. 201-227 [doi]
• Evolving Neural NetworksRisto Miikkulainen. 229-253 [doi]
• Genetic Programming: A Tutorial IntroductionUna-May O'Reilly. 255-271 [doi]
• Hyper-HeuristicsDaniel R. Tauritz, John R. Woodward. 273-304 [doi]
• Introducing Rule-Based Machine Learning: Capturing ComplexityRyan J. Urbanowicz. 305-332 [doi]
• Introduction to Randomized Continuous OptimizationYouhei Akimoto, Anne Auger, Nikolaus Hansen. 333-355 [doi]
• Introductory Statistics for EC: A Visual ApproachMark Wineberg. 357-383 [doi]
• Model-Based Evolutionary AlgorithmsDirk Thierens, Peter A. N. Bosman. 385-412 [doi]
• Representations for Evolutionary AlgorithmsFranz Rothlauf. 413-434 [doi]
• Runtime Analysis of Population-based Evolutionary AlgorithmsPer Kristian Lehre, Pietro Simone Oliveto. 435-462 [doi]
• Theory for Non-TheoreticiansBenjamin Doerr, Carola Doerr. 463-482 [doi]
• Biased Ranom-Key Genetic Algorithms: An Advanced TutorialMauricio G. C. Resende, Celso C. Ribeiro. 483-514 [doi]
• Blind No More: Deterministic Partition Crossover and Deterministic Improving MovesDarrell Whitley. 515-532 [doi]
• CMA-ES and Advanced Adaptation MechanismsYouhei Akimoto, Anne Auger, Nikolaus Hansen. 533-562 [doi]
• Constraint-Handling Techniques used with Evolutionary AlgorithmsCarlos A. Coello Coello. 563-587 [doi]
• Expressive Genetic Programming: Concepts and ApplicationsLee Spector, Nicholas Freitag McPhee. 589-608 [doi]
• Generative and Developmental Systems TutorialKenneth O. Stanley. 609-638 [doi]
• Semantic Genetic ProgrammingAlberto Moraglio, Krzysztof Krawiec. 639-662 [doi]
• Simulation Optimisation: TutorialJürgen Branke. 663-686 [doi]
• Solving Complex Problems with Coevolutionary AlgorithmsKrzysztof Krawiec, Malcolm I. Heywood. 687-713 [doi]
• Theory of Swarm IntelligenceDirk Sudholt. 715-734 [doi]
• Visualization in Multiobjective OptimizationBogdan Filipic, Tea Tusar. 735-751 [doi]
• Medical Applications of Evolutionary ComputationStephen L. Smith. 765-793 [doi]
• Automatic (Offline) Configuration of AlgorithmsThomas Stützle, Manuel López-Ibáñez. 795-818 [doi]
• Cloudy Distributed Evolutionary AlgorithmsJuan J. Merelo. 819-821 [doi]
• Intelligent Systems for Smart CitiesEnrique Alba. 823-839 [doi]
• Evolutionary Computation and GamesJulian Togelius. 841-860 [doi]
• Evolutionary Computation for Feature Selection and Feature ConstructionMengjie Zhang, Bing Xue. 861-881 [doi]
• Evolutionary Computation and CryptologyStjepan Picek. 883-909 [doi]
• IAM 2016 Chairs' Welcome & OrganizationSilvino Fernandez, Thomas Stützle, Pablo Valledor Pellicer. 911-912 [doi]
• Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary AlgorithmMaizura Mokhtar, Ian Hunt, Stephen Burns, Dave Ross. 913-920 [doi]
• Multi-Line Batch Scheduling by SimilarityIgnacio Arnaldo, Erik Hemberg, Una-May O'Reilly. 921-927 [doi]
• Granular-Based Dimension Reduction for Solar Radiation Prediction Using Adaptive Memory ProgrammingAbdel-Rahman Hedar, Alaa E. Abdel-Hakim, Majid Almaraashi. 929-936 [doi]
• Criticality of Response Time in the usage of Metaheuristics in IndustrySilvino Fernandez, Pablo Valledor, Diego Díaz, Eneko Malatsetxebarria, Miguel Iglesias. 937-940 [doi]
• MPDEA 2016 Chairs' Welcome & OrganizationGiovanni Squillero, Alberto Paolo Tonda. 941 [doi]
• Promoting Diversity in Evolutionary Algorithms: an Updated BibliographyGiovanni Squillero, Alberto Paolo Tonda. 943-944 [doi]
• Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation SchemeA. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan. 945-951 [doi]
• Population Diversity as a Selection Factor: Improving Fitness by Increasing DiversityJames Byron, Wayne Iba. 953-959 [doi]
• Harnessing Phenotypic Diversity towards Multiple Independent ObjectivesDavy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins. 961-968 [doi]
• On Synergies between Diversity and Task Decomposition in Constructing Complex Systems with GPJessica P. C. Bonson, Stephen Kelly, Andrew R. McIntyre, Malcolm I. Heywood. 969-976 [doi]
• A Modified Grid Diversity Operator for Discrete Optimization and its Application to Wind Farm Layout Optimization ProblemsAhmed Salah, Emma Hart. 977-982 [doi]
• Effects of Lexicase and Tournament Selection on Diversity Recovery and MaintenanceThomas Helmuth, Nicholas Freitag McPhee, Lee Spector. 983-990 [doi]
• GECCO'16 Student Workshop Chairs' Welcome & OrganizationVanessa Volz, Samadhi Nallaperuma, Boris Naujoks. 991-992 [doi]
• Integrating Local Search within neat-GPPerla Juárez-Smith, Leonardo Trujillo. 993-996 [doi]
• Simulated Annealing as a Pre-Processing Step for Force-Directed Graph DrawingFarshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton. 997-1000 [doi]
• A Two Stages Invasive Weed Optimization via a New Clustering StrategyShanshan Huang, Zhigang Ren, Muju Wang, Chenlin Sun. 1001-1005 [doi]
• FdDCA: A Novel Fuzzy Deterministic Dendritic Cell AlgorithmNura Mukhtar, George Macleod Coghill, Wei Pang. 1007-1010 [doi]
• Parallel SMS-EMOA for Many-Objective Optimization ProblemsRaquel Hernández Gómez, Carlos A. Coello Coello. 1011-1014 [doi]
• Evolution of Layer Based Neural Networks: Preliminary ReportEdward R. Pantridge, Lee Spector. 1015-1022 [doi]
• Random Tree Generator for an FPGA-based Genetic Programming SystemCarlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo. 1023-1026 [doi]
• Small-Moves Based Mutation For Pick-Up And Delivery ProblemViacheslav Shalamov, Andrey Filchenkov, Daniil Chivilikhin. 1027-1030 [doi]
• Variable Selection for Multivariate Calibration in Chemometrics: A Real-World Application with Building Blocks Disruption ProblemLauro C. M. de Paula, Anderson da Silva Soares, Telma W. de Lima, Arlindo R. G. Filho, Clarimar José Coelho. 1031-1034 [doi]
• Adding Program Length Bias to the Lexicase and Tournament Selection AlgorithmsEva Moscovici. 1035-1038 [doi]
• Bee-Inspired Landmark Recognition in Robotic NavigationKodi C. A. Cumbo, Samantha Heck, Ian Tanimoto, Travis DeVault, Robert B. Heckendorn, Terence Soule. 1039-1042 [doi]
• Evolution in Cognition 2016 Chairs' WelcomeStéphane Doncieux, Joshua Evan Auerbach, Richard J. Duro, Harold P. de Vladar. 1043-1045 [doi]
• The Evolution of Artificial NeurogenesisDennis Wilson, Sylvain Cussat-Blanc, Hervé Luga. 1047-1048 [doi]
• An Attractor Network-Based Model with Darwinian DynamicsHarold P. de Vladar, Anna Fedor, András Szilágyi, István Zachar, Eörs Szathmáry. 1049-1052 [doi]
• Darwinian Dynamics of Embodied Chaotic ExplorationYoonSik Shim, Joshua Evan Auerbach, Phil Husbands. 1053-1056 [doi]
• Considering Memory Networks in the LTM Structure of the Multilevel Darwinist BrainRichard J. Duro, José Antonio Becerra, Juan Monroy, Pilar Caamaño. 1057-1060 [doi]
• Gaining Insight into Quality DiversityJoshua E. Auerbach, Giovanni Iacca, Dario Floreano. 1061-1064 [doi]
• Neuroevolutionary Motivational Engine for Autonomous RobotsRodrigo Salgado, Abraham Prieto, Francisco Bellas, Luis Calvo-Varela, Richard J. Duro. 1065-1068 [doi]
• SecDef Workshop 2016 Chairs' Welcome & OrganizationGünes Kayacik, Frank Moore. 1069-1070 [doi]
• Automatic Course of Action Generation using Soft Data for Maritime Domain AwarenessAlex Plachkov, Rami S. Abielmona, Moufid Harb, Rafael Falcon, Diana Inkpen, Voicu Groza, Emil M. Petriu. 1071-1078 [doi]
• Multi-UAV Path Planning with Parallel Genetic Algorithms on CUDA ArchitectureUgur Cekmez, Mustafa Ozsiginan, Ozgur Koray Sahingoz. 1079-1086 [doi]
• Dynamics of Adversarial Co-evolution in Tax Non-Compliance DetectionJacob B. Rosen, Erik Hemberg, Una-May O'Reilly. 1087-1094 [doi]
• Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary DetectorRobert J. Smith, Ayse Nur Zincir-Heywood, Malcolm I. Heywood, John T. Jacobs. 1095-1102 [doi]
• An Incremental Ensemble Evolved by using Genetic Programming to Efficiently Detect Drifts in Cyber Security DatasetsGianluigi Folino, Francesco Sergio Pisani, Pietro Sabatino. 1103-1110 [doi]
• GECCO'16 Workshop on Algorithms and Data Structures for Evolutionary Computation Chairs' WelcomeMaxim Buzdalov. 1111 [doi]
• Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective OptimizationProteek Chandan Roy, Md. Monirul Islam, Kalyanmoy Deb. 1113-1120 [doi]
• Efficient Removal of Points with Smallest Crowding Distance in Two-dimensional Incremental Non-dominated SortingNiyaz Nigmatullin, Maxim Buzdalov, Andrey Stankevich. 1121-1128 [doi]
• Genetic Improvement 2016 Chairs' Welcome & OrganizationWestley Weimer, Justyna Petke, David R. White. 1129-1130 [doi]
• Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUsWilliam B. Langdon, Albert Vilella, Brian Yee Hong Lam, Justyna Petke, Mark Harman. 1131-1132 [doi]
• Guiding Unconstrained Genetic ImprovementDavid R. White. 1133-1134 [doi]
• Genetic Improvement for Code ObfuscationJustyna Petke. 1135-1136 [doi]
• Speeding up the Proof Strategy in Formal Software VerificationMarkus Wagner. 1137-1138 [doi]
• Optimising Energy Consumption Heuristically on Android Mobile PhonesMahmoud Bokhari, Markus Wagner. 1139-1140 [doi]
• Automatic Improvement of Apache Spark Queries using Semantics-preserving Program ReductionZoltan A. Kocsis, John H. Drake, Douglas Carson, Jerry Swan. 1141-1146 [doi]
• Genetic Programming: From Design to Improved ImplementationVíctor R. López-López, Leonardo Trujillo, Pierrick Legrand, Gustavo Olague. 1147-1154 [doi]
• GP vs GI: If You Can't Beat Them, Join ThemJohn R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee. 1155-1156 [doi]
• Evals is Not Enough: Why We Should Report Wall-clock TimeJohn R. Woodward, Alexander E. I. Brownlee, Colin G. Johnson. 1157-1158 [doi]
• Evolutionary Optimization of Compiler Flag Selection by Learning and Exploiting Flags InteractionsUnai Garciarena, Roberto Santana. 1159-1166 [doi]
• GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome MessageAnne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner. 1167 [doi]
• Anytime Bi-Objective Optimization with a Hybrid Multi-Objective CMA-ES (HMO-CMA-ES)Ilya Loshchilov, Tobias Glasmachers. 1169-1176 [doi]
• Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test SuiteOswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel. 1177-1184 [doi]
• Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noiseless TestbedKouhei Nishida, Youhei Akimoto. 1185-1192 [doi]
• Evaluating the Population Size Adaptation Mechanism for CMA-ES on the BBOB Noisy TestbedKouhei Nishida, Youhei Akimoto. 1193-1200 [doi]
• Hypervolume-Based DIRECT for Multi-Objective OptimisationCheryl Sze Yin Wong, Abdullah Al-Dujaili, Sundaram Suresh. 1201-1208 [doi]
• A MATLAB Toolbox for Surrogate-Assisted Multi-Objective Optimization: A Preliminary StudyAbdullah Al-Dujaili, Sundaram Suresh. 1209-1216 [doi]
• Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 TestbedAnne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner. 1217-1223 [doi]
• The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test SuiteAnne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner. 1225-1232 [doi]
• Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test SuiteAnne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner. 1233-1239 [doi]
• Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test SuiteAnne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner. 1241-1247 [doi]
• Performance of the DEMO Algorithm on the Bi-objective BBOB Test SuiteTea Tusar, Bogdan Filipic. 1249-1256 [doi]
• The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test SuiteAnne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner. 1257-1264 [doi]
• Surrogate-Assisted Evolutionary Optimisation (SAEOpt'16) Chairs' Welcome & OrganizationAlma As-Aad Rahat, Richard M. Everson, Jonathan E. Fieldsend, Yaochu Jin, Handing Wang. 1265-1266 [doi]
• Mining Markov Network Surrogates for Value-Added OptimisationAlexander E. I. Brownlee. 1267-1274 [doi]
• Adaptation of Surrogate Tasks for Bipedal Walk OptimizationPatrick MacAlpine, Elad Liebman, Peter Stone. 1275-1276 [doi]
• Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive ProblemsChao-li Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng. 1277-1278 [doi]
• Uncertainty in Surrogate ModelsHanding Wang. 1279 [doi]
• Data Driven Evolutionary Optimization of Complex Systems: Big Data Versus Small DataYaochu Jin. 1281-1282 [doi]
• Workshop Evolutionary Computation in Computational Structural Biology 2016 Chairs' WelcomeJosé Santos, Julia Handl, Amarda Shehu. 1283-1284 [doi]
• Using Crowding-Distance in a Multiobjective Genetic Algorithm for Protein Structure PredictionGregorio Kappaun Rocha, Fábio Lima Custódio, Helio J. C. Barbosa, Laurent Emmanuel Dardenne. 1285-1292 [doi]
• Path-based Guidance of an Evolutionary Algorithm in Mapping a Fitness Landscape and its ConnectivityEmmanuel Sapin, Kenneth A. De Jong, Amarda Shehu. 1293-1298 [doi]
• An Ecologically-inspired Parallel Approach Applied to the Protein Structure Reconstruction from Contact MapsCésar Manuel Vargas Benítez, Rafael Stubs Parpinelli, Heitor Silvério Lopes. 1299-1306 [doi]
• Protein Folding Modeling with Neural Cellular Automata Using RosettaDaniel Varela, José Santos. 1307-1312 [doi]
• Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & OrganizationStefan Wagner 0002, Michael Affenzeller. 1313-1314 [doi]
• elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReducePasquale Salza, Filomena Ferrucci, Federica Sarro. 1315-1322 [doi]
• NodIO: A Framework and Architecture for Pool-based Evolutionary ComputationJuan J. Merelo, Pedro A. Castillo, Pablo García-Sánchez, Paloma de las Cuevas, Mario García Valdez. 1323-1330 [doi]
• Optimization Knowledge Center: A Decision Support System for Heuristic OptimizationAndreas Beham, Stefan Wagner 0002, Michael Affenzeller. 1331-1338 [doi]
• ECADA 2016 Chairs' WelcomeManuel López-Ibáñez, Daniel R. Tauritz, John Woodward. 1339 [doi]
• Exploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic FrameworksAlberto Franzin, Thomas Stützle. 1341-1347 [doi]
• Evolution Evolves with AutoconstructionLee Spector, Nicholas Freitag McPhee, Thomas Helmuth, Maggie M. Casale, Julian Oks. 1349-1356 [doi]
• Connecting Automatic Parameter Tuning, Genetic Programming as a Hyper-heuristic, and Genetic Improvement ProgrammingJohn R. Woodward, Colin G. Johnson, Alexander E. I. Brownlee. 1357-1358 [doi]
• Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case StudyAlex R. Bertels, Daniel R. Tauritz. 1359-1365 [doi]
• MedGEC'16 Chairs' WelcomeStephen L. Smith, Stefano Cagnoni, Robert Patton. 1367 [doi]
• A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease PatientsMarta Vallejo, Jeremy Cosgrove, Jane E. Alty, D. R. Stuart Jamieson, Stephen L. Smith, David W. Corne, Michael A. Lones. 1369-1376 [doi]
• Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity RecognitionAlejandro Baldominos, Carmen del Barrio, Yago Sáez. 1377-1384 [doi]
• An Optimized Feed-forward Artificial Neural Network Topology to Support Radiologists in Breast Lesions ClassificationVitoantonio Bevilacqua, Antonio Brunetti, Maurizio Triggiani, Domenico Magaletti, Michele Telegrafo, Marco Moschetta. 1385-1392 [doi]
• Predicting Glycemia in Diabetic Patients By Evolutionary Computation and Continuous Glucose MonitoringJ. Manuel Colmenar, Stephan M. Winkler, Gabriel Kronberger, Esther Maqueda, Marta Botella, José Ignacio Hidalgo. 1393-1400 [doi]
• GECCO'16 Model-Based Evolutionary Algorithms (MBEA) Workshop Chairs' WelcomePeter A. N. Bosman, John McCall. 1401 [doi]
• Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine LearningRyan J. Urbanowicz, Randal S. Olson, Jason H. Moore. 1403 [doi]
• Code Fragments: Past and Future use in Transfer LearningWill N. Browne. 1405 [doi]
• Hands-on Workshop on Learning Classifier SystemsRyan J. Urbanowicz, Will N. Browne, Karthik Kuber. 1407-1408 [doi]
• International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) Welcome & OrganizationKarthik Kuber, Masaya Nakata, Kamran Shafi. 1409-1410 [doi]
• Visualisation and Analysis of Genetic Records Produced by Cartesian Genetic ProgrammingLukás Sekanina, Vlastimil Kapusta. 1411-1418 [doi]
• Visualizing Genetic Programming AncestriesNicholas Freitag McPhee, Maggie M. Casale, Mitchell Finzel, Thomas Helmuth, Lee Spector. 1419-1426 [doi]
• Visualizing for Success: How Can we Make the User more Efficient in Interactive Evolutionary Algorithms?Juan J. Merelo, Mario García Valdez, Carlos Cotta, Carlos Cotta. 1427-1428 [doi]
• Enabling Dominance Resistance in Visualisable Distance-Based Many-Objective ProblemsJonathan E. Fieldsend. 1429-1436 [doi]
• Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature AnalysisChengshan Pang, Mang Wang, Weiming Liu, Bin Li. 1437-1444 [doi]
• Visualisation Methods in Genetic and Evolutionary Computation (VizGEC 2016) Chairs' Welcome & OrganizationDavid Walker, Jonathan Fieldsend, Richard Everson. 1445-1446 [doi]
• Women@GECCO 2016 Chairs' WelcomeCarola Doerr, Julia Handl, Emma Hart, Gabriela Ochoa, Amarda Shehu, Tea Tusar, Anya E. Vostinar, Christine Zarges, A. Nur Zincir-Heywood. 1447-1449 [doi]
• Late-Breaking Abstracts Workshop at GECCO'16: Chair's WelcomeFrancisco Chicano. 1451 [doi]
• A Multimodal Adaptive Genetic Clustering AlgorithmSawsan Al-Malak, Manar Hosny. 1453-1454 [doi]
• BeamGA Median: A Hybrid Heuristic Search FrameworkGhada Badr, Manar Hosny, Nuha Bintayyash, Eman Albilali, Souad Larabi Marie-Sainte. 1455-1456 [doi]
• Nearing Stroop Effect Replication via NeuroevolutionAmit Benbassat, Avishai Henik. 1457-1458 [doi]
• Reducing Energy Consumption in Smart Cities: A Scatter Search Based ApproachOlfa Chebbi, Nouha Nouri. 1459-1460 [doi]
• Feature Selection using Genetic Algorithm: An Analysis of the Bias-Property for One-Point CrossoverLauro C. M. de Paula, Anderson da Silva Soares, Telma Woerle de Lima, Clarimar José Coelho. 1461-1462 [doi]
• Discovery Motifs by Evolutionary ComputationJader C. Garbelini, André Y. Kashiwabara, Danilo S. Sanches. 1463-1464 [doi]
• Are Evolutionary Computation-Based Methods Comparable to State-of-the-art non-Evolutionary Methods for Community Detection?Ami Hauptman. 1465-1466 [doi]
• On Development of a New Approach for EA Acceleration in Chosen Large Optimization Problems of MechanicsJanusz Orkisz, Maciej Glowacki. 1467-1468 [doi]
• Comparison between Golden Ball Meta-heuristic, Evolutionary Simulated Annealing and Tabu Search for the Traveling Salesman ProblemEneko Osaba, Roberto Carballedo, Pedro López-García 0002, Fernando Diaz. 1469-1470 [doi]
• TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary TechniquesEneko Osaba, Pedro López-Garcia, Antonio D. Masegosa, Enrique Onieva, Hugo Landaluce, Asier Perallos. 1471-1472 [doi]
• Schemata Bandits for MAXSATNixon K. Ronoh, Edna Milgo, Ambrose K. KIprop, Bernard Manderick. 1473-1474 [doi]
• Multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution SystemsDanilo Sipoli Sanches, João Bosco A. London Jr., Alexandre C. B. Delbem. 1475-1476 [doi]
• Increasing the Throughput of Expensive Evaluations Through a Vector Based Genetic Programming FrameworkJason Zutty, Daniel Long, Gregory Rohling. 1477-1478 [doi]