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GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
14 years 4 days ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
ICDCS
2000
IEEE
14 years 27 days ago
Static and Adaptive Data Replication Algorithms for Fast Information Access in Large Distributed Systems
Creating replicas of frequently accessed objects across a read-intensive network can result in large bandwidth savings which, in turn, can lead to reduction in user response time....
Thanasis Loukopoulos, Ishfaq Ahmad
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
ICRA
2002
IEEE
72views Robotics» more  ICRA 2002»
14 years 1 months ago
Distributed and Dynamic Task Reallocation in Robot Organizations
Task reallocation in a multi-robot organization is a process that distributes a decomposed global task to individual robots. This process must be distributed and dynamic because i...
Wei-Min Shen, Behnam Salemi
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 4 days ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba