Numerous awards were given at ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, Oregon. Congratulations to the winners! ACM SIGEVO GECCO Impact Award Natalio Krasnogor and Jim Smith A Memetic Algorithm with Self-Adaptive Local Search: TSP as a case study Best Paper Award Winners Ant Colony Optimization and Swarm Intelligence Manuel López-Ibáñez, Thomas […]
Numerous awards were given at ACM SIGEVO Genetic and Evolutionary Computation Conference (GECCO-2010) in Portland, Oregon. Congratulations to the winners!
ACM SIGEVO GECCO Impact Award
Natalio Krasnogor and Jim Smith
A Memetic Algorithm with Self-Adaptive Local Search: TSP as a case study
Best Paper Award Winners
Ant Colony Optimization and Swarm Intelligence
Manuel López-Ibáñez, Thomas Stützle
The Impact of Design Choices of Multiobjective Ant Colony Optimization on Performance: An Experimental Study on the Biobjective TSP
Artificial Life, Evolutionary Robotics, Evolvable Hardware
Brian Connelly, Benjamin Beckmann, Philip McKinley
Resource Abundance Promotes the Evolution of Public Goods Cooperation
Bioinformatics, Computational, Systems and Synthetic Biology
Ryan Urbanowicz, Jason Moore
The Application of Michigan-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies
Combinatorial Optimization and Metaheuristics
Shelly X. Wu, Wolfgang Banzhaf
A Hierarchical Cooperative Evolutionary Algorithm
Estimation of Distribution Algorithms
Peter A. N. Bosman
The Anticipated Mean Shift and Cluster Registration in Mixture-based EDAs for Multi-Objective Optimization
Evolutionary Multiobjective Optimization
Tamara Ulrich, Johannes Bader, Eckart Zitzler
Integrating Decision Space Diversity Into Hypervolume-based Multiobjective Search
Karl Bringmann, Tobias Friedrich
The Maximum Hypervolume Set Yields Near-optimal Approximation
Evolution Strategies and Evolutionary Programming
Dirk Arnold, Nikolaus Hansen
Active Covariance Matrix Adaptation for the (1+1) CMA-ES
Generative and Developmental Systems
Sebastian Risi, Joel Lehman, Kenneth Stanley
Evolving the Placement and Density of Neurons in the HyperNEAT Substrate
Genetic Algorithms
Martin Pelikan
NK Landscapes, Problem Difficulty, and Hybrid Evolutionary Algorithms
Genetic Programming
Leonardo Trujillo, Pierrick Legrand, Jacques Lévy-Véhel
The Estimation of Hölderian Regularity using Genetic Programming
Genetics-Based Machine Learning
María A. Franco, Natalio Krasnogor, Jaume Bacardit
Speeding Up the Evaluation of Evolutionary Learning Systems Using GPGPUs
Parallel Evolutionary Systems
Jörg Lässig, Dirk Sudholt
The Benefit of Migration in Parallel Evolutionary Algorithms
Real World Applications
Leonardo Trujillo, Pierrick Legrand, Gustavo Olague, Cynthia Pérez
Optimization of the Hölder Image Descriptor using a Genetic Algorithm
Search Based Software Engineering
Alexander Conrad, Robert Roos, Gregory Kapfhammer
Empirically Studying the Role of Selection Operators During Search-Based Test Suite Prioritization
Theory
Benjamin Doerr, Daniel Johannsen, Carola Winzen
Multiplicative Drift Analysis
Per Kristian Lehre, Carsten Witt
Black-Box Search by Unbiased Variation
Graduate Student Workshop Award Winner
Adriana Lara, Carlos Coello Coello, Oliver Schuetze
Using Gradient Information for Multi-objective Problems in the Evolutionary Context
GECCO-2010 Competitions
Evolutionary Art Competition
Fernando Graça and Penousal Machado
Evolving Assemblages
GPUs for Genetic and Evolutionary Computation
Nicholas A. Sinnott-Armstrong , Delaney Granizo-Mackenzie, Jason H. Moore
High Performance Parallel Disease Detection: an Artificial Immune System for GPUs
2010 Simulated Racing Car Championship
E. Onieva
AUTOPIA
Human-Competitive Competition (HUMIES)
Bronze Medal
Michael Schmidt and Hod Lipson
Solving Iterated Functions Using Genetic Programming
Thomas Bäck et al.
Optimizing Medical Image Analysis Systems
Silver Medal
Marc Schoenauer et al.
An Evolutionary Metaheuristic for Domain-Independent Satisficing Planning
Gold Medal
Natalio Krasnogor et al.
Evolutionary Design of Energy Functions for Protein Structure Prediction
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