About the GPEMjournal blog

This is the editor's blog for the journal Genetic Programming and Evolvable Machines. The official web site for the journal, maintained by the publisher (Springer) is here. The GPEMjournal blog is authored and maintained by Lee Spector.

Saturday, July 18, 2009

Additional awards at GECCO-2009

There were several awards presented at the GECCO-2009 conference aside from the Human-Competitive Results Awards (Humies) awards about which Wolfgang posted previously, and for which I've listed the other winners below. Of particular interest to readers of this blog may be the Best Paper awards from each of the technical tracks; these are generally awarded for exciting new results, several of which may soon be appearing in more complete form in our field's journals. In addition, this year was the first year of the SIGEVO GECCO Impact Award, for the papers with the most citations from the GECCO conference 10 years ago.

Congratulations to all of the winners!

2009 SIGEVO GECCO Impact Awards, for the papers with the most citations from GECCO 1999

M. Pelikan, D. Goldberg, E. Cantu-Paz: "BOA: The Bayesian Optimization Algorithm"
Citations: 447

S. Hofmeyer, S. Forrest: "Immunity by Design: An Artificial Immune System"
Citations: 212

Perez, Olague: "Evolutionary Learning of Local Descriptor Operators for Object Recognition"
AND Hauptpman, Elyasay, Sipper, Karman: "GP to Evolve Solvers for the Rush Hour Problem"

Shahzad, Zahid, Farooq, Khayam: "GA+PSO for User ID on Smart Phones"

Forrest, Le Goues, Nguyen, Weimer: "GP for Automated Software Repair"

2009 GECCO Best Paper Awards

Ant Colony Optimization and Swarm Intelligence: "Parallel Shared Memory Strategies for Ant-Based Optimization Algorithms" by T. Bui, T. Nguyen, J. R. Rizzo Jr.

Artificial Life, Evolutionary Robotics, Adaptive Behavior, Evolvable Hardware: "How Novelty Search Escapes the Deceptive Trap of Learning to Learn" by S. Risi, S. D. Vanderbleek, C. E. Hughes, K. O. Stanley

Bioinformatics and Computational Biology Modeling: "Evolutionary Fitness for DNA Motif Discovery" by S. Rahmann, T. Marschall, F. Behler, O. Kramer

Combinatorial Optimization and Metaheuristics: "Fixed-Parameter Evolutionary Algorithms and the Vertex Cover Problem" by S. Kratsch, F. Neumann

Estimation of Distribution Algorithms: "EDA-RL: Estimation of Distribution Algorithms for Reinforcement Learning Problems" by H. Handa
"Approximating the Search Distribution to the Selection Distribution in EDAs" by S. I. Valdez-Peña, A. Hernández-Aguirre, S. Botello-Rionda

Evolution Strategies and Evolutionary Programming: "Efficient Natural Evolution Strategies" by Y. Sun, D. Wierstra, T. Schaul, J. Schmidhuber

Evolutionary Multiobjective Optimization: "Multiplicative Approximations and the Hypervolume Indicator" by T. Friedrich, C. Horoba, F. Neumann

Generative and Developmental Systems: "The Sensitivity of HyperNEAT to Different Geometric Representations of a Problem" by J. Clune, C. Ofria, R. T. Pennock

Genetic Algorithms: "Tunneling Between Optima: Partition Crossover for the Traveling Salesman Problem" by D. Whitley, A. Howe, D. Hains

Genetic Programming: "A Genetic Programming Approach to Automated Software Repair" by S. Forrest, T.V. Nguyen, W. Weimer, C. Le Goues

Genetics-Based Machine Learning: "Learning Sensorimotor Control Structures with XCSF" by M. V. Butz, G. K. M. Pedersen, P. O. Stalph
"New Entropy Model for Extraction of Structural Information from XCS Population" by W. K. Park, J. C. Oh

Parallel Evolutionary Systems: "Strategies to Minimise the Total Run Time of Cyclic Graph Based Genetic Programming with GPUs" by T. E. Lewis, G. D. Magoulas

Real World Applications: "Optimizing Low-Discrepancy Sequences with an Evolutionary Algorithm" by F.-M. De Rainville, C. Gagné, O. Teytaud, D. Laurendeau

Search Based Software Engineering: "Software Project Planning for Robustness and Completion Time in the Presence of Uncertainty using Multi Objective Search Based Software Engineering" by S. Gueorguiev, M. Harman, G. Antoniol

Theory: "Dynamic Evolutionary Optimisation: An Analysis of Frequency and Magnitude of Change" by P. Rohlfshagen. P. K. Lehre, X. Yao

GECCO Graduate Student Workshop: "Learnable Evolution Model Performance Impaired by Binary Tournament Survival Selection" by M. Coletti (George Mason University)

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