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ORCIDGECCO 2016: Denver, CO, USA - Companion Material
- Tobias Friedrich, Frank Neumann, Andrew M. Sutton:
Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, CO, USA, July 20-24, 2016, Companion Material Proceedings. ACM 2016, ISBN 978-1-4503-4323-7
Ant Colony Optimization and Swarm Intelligence
- Carlos M. Fernandes
, Juan Julián Merelo Guervós, Agostinho C. Rosa:
Asynchronous Steady State Particle Swarm. 1-2 - Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton:
Ant Colony Optimization Beats Resampling on Noisy Functions. 3-4
Artificial Immune Systems and Biological and Biomedical Applications
- Nina Bulanova, Arina Buzdalova, Maxim Buzdalov:
Fitness-Dependent Hybridization of Clonal Selection Algorithm and Random Local Search. 5-6 - Julie Greensmith, Andrew M. Jackson, Ian Spendlove:
Exploiting the Plasticity of Primary and Secondary Response Mechanisms in Artificial Immune Systems. 7-8 - Stephen Lincoln, Jacquelynn Benjamino, Joerg Graf, Ranjan Srivastava:
Metabolite Overproduction through Engineering and Optimization of Microbiome Composition Dynamics. 9-10 - Luis Martí, Arsène Fansi Tchango, Laurent Navarro, Marc Schoenauer:
VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System. 11-12 - Marta Vallejo, Jeremy Cosgrove, Jane E. Alty, Stephen L. Smith, David W. Corne, Michael A. Lones:
Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease. 13-14
Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems)
- Viplove Arora, Mario Ventresca:
A Multi-objective Optimization Approach for Generating Complex Networks. 15-16 - Camilo Cruz, Justyna Karakiewicz, Michael Kirley:
A Morphogenetic Design Strategy Using a Composite CA Model. 17-18 - Justin K. Pugh, Lisa B. Soros, Kenneth O. Stanley:
An Extended Study of Quality Diversity Algorithms. 19-20 - Jacob Schrum, Joel Lehman, Sebastian Risi:
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. 21-22 - Davy Smith, Laurissa N. Tokarchuk, Geraint A. Wiggins:
Exploring Conflicting Objectives with MADNS: Multiple Assessment Directed Novelty Search. 23-24 - Anya E. Vostinar, Luis Zaman, Charles Ofria:
What Factors Drive the Evolution of Mutualism? 25-26 - Joshuah Wolper, George Abraham:
Evolving Novel Cellular Automaton Seeds Using Compositional Pattern Producing Networks (CPPN). 27-28
Continuous Optimization
- Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Gerhard Neumann:
Contextual Stochastic Search. 29-30 - Yong-Feng Ge, Wei-jie Yu, Jun Zhang:
Diversity-Based Multi-Population Differential Evolution for Large-Scale Optimization. 31-32 - Ofer M. Shir:
Multilevel Evolution Strategies for Multigrid Problems. 33-34 - Fabien Teytaud, Olivier Teytaud:
QR Mutations Improve Many Evolution Strategies: A Lot On Highly Multimodal Problems. 35-36
Digital Entertainment Technologies and Arts
- David Daniel Albarracín-Molina, Juan C. Moya, Francisco J. Vico:
An Evo-Devo System for Algorithmic Composition that Actually Works. 37-38 - Andreas Scheibenpflug, Johannes Karder, Susanne Schaller, Stefan Wagner, Michael Affenzeller:
Evolutionary Procedural 2D Map Generation using Novelty Search. 39-40 - Patrikk D. Sørensen, Jeppeh M. Olsen, Sebastian Risi:
Interactive Super Mario Bros Evolution. 41-42
Evolutionary Combinatorial Optimization and Metaheuristics
- Pierre Bergé, Kaourintin Le Guiban, Arpad Rimmel, Joanna Tomasik:
Search Space Exploration and an Optimization Criterion for Hard Design Problems. 43-44 - Daniil Chivilikhin:
Experimental Study of Automated Parameter Tuning on the Example of irace and the Traveling Salesman Problem. 45-46 - Emmanuel Kieffer, Mateusz Guzek, Grégoire Danoy, Pascal Bouvry, Anass Nagih:
A Novel Co-evolutionary Approach for Constrained Genetic Algorithms. 47-48 - Jinhyun Kim, Yourim Yoon, Byung Ro Moon:
Solving Maximum Cut Problem with an Incremental Genetic Algorithm. 49-50 - Rafael de Santiago, Luís C. Lamb:
Efficient Stochastic Local Search for Modularity Maximization. 51-52 - Vívian Ludimila Aguiar Santos, José Elías C. Arroyo, Thales Francisco Mota Carvalho:
Iterated Local Search Based Heuristic for Scheduling Jobs on Unrelated Parallel Machines with Machine Deterioration Effect. 53-54 - Sara Tari, Matthieu Basseur, Adrien Goëffon:
Toward the Design of Efficient Pivoting Rules for Local Search. 55-56 - Yuezhong Wu, Thomas Weise, Weichen Liu:
Hybridizing Different Local Search Algorithms with Each Other and Evolutionary Computation: Better Performance on the Traveling Salesman Problem. 57-58 - Baorong Zhai, Hao Chen, Jun Li, Ning Jing:
A Coevolution Genetic Algorithm for Conflict Resolution of Multi-user Satellite Observation Activities. 59-60
Evolutionary Machine Learning
- Vinícius Veloso de Melo, Wolfgang Banzhaf:
Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. 61-62 - Sungjoo Ha, Sangyeop Lee, Byung-Ro Moon:
Inspecting the Latent Space of Stock Market Data with Genetic Programming. 63-64 - Collin F. Lynch, Linting Xue, Min Chi:
Evolving Augmented Graph Grammars for Argument Analysis. 65-66 - Takato Tatsumi, Takahiro Komine, Masaya Nakata, Hiroyuki Sato, Tim Kovacs, Keiki Takadama:
Variance-based Learning Classifier System without Convergence of Reward Estimation. 67-68 - Cao Truong Tran, Mengjie Zhang, Peter Andreae, Bing Xue:
Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions. 69-70
Evolutionary Multiobjective Optimization
- Md. Asafuddoula, Hemant Kumar Singh, Tapabrata Ray:
A CUDA Implementation of an Improved Decomposition Based Evolutionary Algorithm for Multi-Objective Optimization. 71-72 - Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernán E. Aguirre, Kiyoshi Tanaka:
Local Search Move Strategies within MOEA/D. 73-74 - Abhinav Gaur, Kalyanmoy Deb:
Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms. 75-76 - Haitham Ahmed Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches. 77-78 - Saeideh Shirinzadeh, Mathias Soeken, Daniel Große, Rolf Drechsler:
Approximate BDD Optimization with Prioritized ε-Preferred Evolutionary Algorithm. 79-80 - David J. Walker, Ed Keedwell:
Multi-objective Optimisation with a Sequence-based Selection Hyper-heuristic. 81-82 - Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
Weighted Optimization Framework for Large-scale Multi-objective Optimization. 83-84
Genetic Algorithms
- Chia-hua Chang, Tian-Li Yu:
Investigation on Parameterless Schemes for DSMGA-II. 85-86 - Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A Novel GA-based Feature Selection Approach for High Dimensional Data. 87-88 - Farshad Ghassemi Toosi, Nikola S. Nikolov, Malachy Eaton:
A GA-Inspired Approach to the Reduction of Edge Crossings in Force-Directed Layouts. 89-90 - Sumaiya Iqbal, Md. Tamjidul Hoque:
A Homologous Gene Replacement based Genetic Algorithm. 91-92 - Sebastian Lenartowicz, Mark Wineberg:
mpEAd: Multi-Population EA Diagrams. 93-94 - Robin Mueller-Bady, Martin Kappes, Inmaculada Medina-Bulo, Francisco Palomo-Lozano:
Maintaining Genetic Diversity in Multimodal Evolutionary Algorithms using Population Injection. 95-96
Genetic Programming
- Iwo Bladek, Krzysztof Krawiec:
Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding. 97-98 - Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli:
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. 99-100 - James Alexander Hughes, Mark Daley:
Finding Nonlinear Relationships in fMRI Time Series with Symbolic Regression. 101-102 - Quang Nhat Huynh, Hemant Kumar Singh, Tapabrata Ray:
A Semantics based Symbolic Regression Framework for Mining Explicit and Implicit Equations from Data. 103-104 - Francisco A. L. Manfrini, Heder S. Bernardino, Helio J. C. Barbosa:
On Heuristics for Seeding the Initial Population of Cartesian Genetic Programming Applied to Combinational Logic Circuits. 105-106 - Kinga Mrugala, Nilufer Tuptuk, Stephen Hailes:
Evolving Attackers against Wireless Sensor Networks. 107-108 - John Park, Yi Mei, Gang Chen, Mengjie Zhang:
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. 109-110 - Alejandro Sosa-Ascencio, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos:
Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems. 111-112 - Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition. 113-114
Integrative Genetic and Evolutionary Computation
- Ari Larson, Anton Bernatskiy, Collin Cappelle, Kenneth R. Livingston, Nicholas Livingston, John H. Long Jr., Jodi Schwarz, Marc L. Smith, Josh C. Bongard:
Recombination Hotspots Promote the Evolvability of Modular Systems. 115-116
Parallel Evolutionary Systems
- Xiao Fang Liu, Zhi-Hui Zhan, Jun-Hao Lin, Jun Zhang:
Parallel Differential Evolution Based on Distributed Cloud Computing Resources for Power Electronic Circuit Optimization. 117-118 - Narjess Dali, Sadok Bouamama:
A New Hybrid GPU-PSO Approach for Solving Max-CSPs. 119-120 - Pasquale Salza, Filomena Ferrucci, Federica Sarro:
Develop, Deploy and Execute Parallel Genetic Algorithms in the Cloud. 121-122
Real World Applications
- Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan:
Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions. 123-124 - Noura Hamzé, Pierre Collet, Caroline Essert:
Introducing Pareto-based MOEA to Neurosurgery Preoperative Path Planning. 125-126 - Piotr Lipinski, Krzysztof Michalak, Adrian Lancucki:
Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms. 127-128 - Xiaoyan Liu, Feng Li, Yongsheng Ding, Lu Wang, Kuangrong Hao:
Mechanical Modeling with Particle Swarm Optimization Algorithm for Braided Bicomponent Ureteral Stent. 129-130 - Alexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang:
A Graph-based QoS-Aware Method for Web Service Composition with Branching. 131-132 - Gorka Sorrosal, Cruz E. Borges, Martin Holeña, Ana María Macarulla, Cristina Martin Andonegui, Ainhoa Alonso-Vicario:
Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks. 133-134 - Terence Soule, Barrie D. Robison, Robert B. Heckendorn:
Co-evolution of Sensor Morphology and Behavior. 135-136
Search-Based Software Engineering and Self-* Search
- Jérémie Dubois-Lacoste, Thomas Stützle:
Configuring a Stigmergy-based Traffic Light Controller. 137-138 - David Espinoza-Nevárez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Gustavo Gatica:
Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows. 139-140 - Arkady Rost, Irina Petrova, Arina Buzdalova:
Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range. 141-142 - Christopher L. Simons, Jim Smith:
Exploiting Antipheromone in Ant Colony Optimisation for Interactive Search-Based Software Design and Refactoring. 143-144 - Danilo Vasconcellos Vargas, Junichi Murata:
Curious: Searching for Unknown Regions of Space with a Subpopulation-based Algorithm. 145-146
Theory
- Maxim Buzdalov:
An Algorithm for Computing Lower Bounds for Unrestricted Black-Box Complexities. 147-148 - Fergal Lane, R. Muhammad Atif Azad, Conor Ryan:
Principled Evolutionary Algorithm Design and the Kernel Trick. 149-150 - Ofer M. Shir, Jonathan Roslund, Amir Yehudayoff:
On the Capacity of Evolution Strategies to Statistically Learn the Landscape. 151-152
Hot Off Press
- Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann:
Model-Based Relative Entropy Stochastic Search. 153-154 - Alberto Bartoli, Andrea De Lorenzo, Eric Medvet, Fabiano Tarlao:
On the Automatic Construction of Regular Expressions from Examples (GP vs. Humans 1-0). 155-156 - Michal Bidlo:
Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata. 157-158 - Miguel Duarte, Vasco Costa, Jorge C. Gomes, Tiago Rodrigues, Fernando Silva, Sancho Moura Oliveira, Anders Lyhne Christensen:
Unleashing the Potential of Evolutionary Swarm Robotics in the Real World. 159-160 - Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton:
The Benefit of Recombination in Noisy Evolutionary Search. 161-162 - Pawel Liskowski, Krzysztof Krawiec:
Online Discovery of Search Objectives for Test-based Problems. 163-164 - Jakub Nalepa, Michal Kawulok:
The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. 165-166 - Xuewei Qi, Matthew J. Barth, Guoyuan Wu, Kanok Boriboonsomsin:
Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary Algorithm. 167-168
Introduction Tutorials
- Marco Tomassini:
Introduction to Complex Networks. 169-184 - Kenneth A. De Jong:
Evolutionary Computation: A Unified Approach. 185-199 - Dimo Brockhoff, Tobias Wagner:
GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization. 201-227 - Risto Miikkulainen:
Evolving Neural Networks. 229-253 - Una-May O'Reilly:
Genetic Programming: A Tutorial Introduction. 255-271 - Daniel R. Tauritz, John R. Woodward:
Hyper-Heuristics. 273-304 - Ryan J. Urbanowicz:
Introducing Rule-Based Machine Learning: Capturing Complexity. 305-332 - Youhei Akimoto, Anne Auger, Nikolaus Hansen:
Introduction to Randomized Continuous Optimization. 333-355 - Mark Wineberg:
Introductory Statistics for EC: A Visual Approach. 357-383 - Dirk Thierens, Peter A. N. Bosman:
Model-Based Evolutionary Algorithms. 385-412 - Franz Rothlauf:
Representations for Evolutionary Algorithms. 413-434 - Per Kristian Lehre, Pietro S. Oliveto:
Runtime Analysis of Population-based Evolutionary Algorithms. 435-462 - Benjamin Doerr, Carola Doerr:
Theory for Non-Theoreticians. 463-482
Advanced Tutorials
- Mauricio G. C. Resende, Celso C. Ribeiro:
Biased Ranom-Key Genetic Algorithms: An Advanced Tutorial. 483-514 - L. Darrell Whitley:
Blind No More: Deterministic Partition Crossover and Deterministic Improving Moves. 515-532 - Youhei Akimoto, Anne Auger, Nikolaus Hansen:
CMA-ES and Advanced Adaptation Mechanisms. 533-562 - Carlos A. Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. 563-587 - Lee Spector, Nicholas Freitag McPhee:
Expressive Genetic Programming: Concepts and Applications. 589-608 - Kenneth O. Stanley:
Generative and Developmental Systems Tutorial. 609-638 - Alberto Moraglio, Krzysztof Krawiec:
Semantic Genetic Programming. 639-662 - Jürgen Branke:
Simulation Optimisation: Tutorial. 663-686 - Krzysztof Krawiec, Malcolm I. Heywood:
Solving Complex Problems with Coevolutionary Algorithms. 687-713 - Dirk Sudholt:
Theory of Swarm Intelligence. 715-734 - Bogdan Filipic, Tea Tusar:
Visualization in Multiobjective Optimization. 735-751
Specialized Tutorials
- Stephen L. Smith:
Medical Applications of Evolutionary Computation. 765-793 - Thomas Stützle, Manuel López-Ibáñez:
Automatic (Offline) Configuration of Algorithms. 795-818 - Juan Julián Merelo Guervós:
Cloudy Distributed Evolutionary Algorithms. 819-821 - Enrique Alba:
Intelligent Systems for Smart Cities. 823-839 - Julian Togelius:
Evolutionary Computation and Games. 841-860 - Mengjie Zhang, Bing Xue:
Evolutionary Computation for Feature Selection and Feature Construction. 861-881 - Stjepan Picek:
Evolutionary Computation and Cryptology. 883-909
IAM 2016 Workshop
- Silvino Fernandez, Thomas Stützle, Pablo Valledor Pellicer:
IAM 2016 Chairs' Welcome & Organization. 911-912 - Maizura Mokhtar, Ian Hunt, Stephen Burns, Dave Ross:
Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm. 913-920 - Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly:
Multi-Line Batch Scheduling by Similarity. 921-927 - Abdel-Rahman Hedar, Alaa E. Abdel-Hakim, Majid Almaraashi:
Granular-Based Dimension Reduction for Solar Radiation Prediction Using Adaptive Memory Programming. 929-936 - Silvino Fernandez, Pablo Valledor, Diego Díaz, Eneko Malatsetxebarria, Miguel Iglesias:
Criticality of Response Time in the usage of Metaheuristics in Industry. 937-940