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GECCO
2006
Springer
14 years 1 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
Particle Swarm Optimization (PSO) is a population-based optimization method in which search points employ a cooperative strategy to move toward one another. In this paper we show ...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...