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GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 8 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigations in meta-GAs: panaceas or pipe dreams?
A meta-GA (GA within a GA) is used to investigate evolving the parameter settings of genetic operators for genetic and evolutionary algorithms (GEA) in the hope of creating a self...
Jeff Clune, Sherri Goings, Bill Punch, Eric Goodma...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 20 days ago
Cellular Programming and Symmetric Key Cryptography Systems
Abstract. The problem of designing symmetric key cryptography algorithms based upon cellular automata (CAs) is considered. The reliability of the Vernam cipher used in the process ...
Franciszek Seredynski, Pascal Bouvry, Albert Y. Zo...
MABS
2005
Springer
14 years 29 days ago
Automatic Tuning of Agent-Based Models Using Genetic Algorithms
When developping multi-agent systems (MAS) or models in the context of agent-based simulation (ABS), the tuning of the model constitutes a crucial step of the design process. Inde...
Benoît Calvez, Guillaume Hutzler
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 20 days ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin