A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
Evolutionary Algorithms in Engineering Applications
Evolutionary Algorithms in Engineering Applications
Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
A Fast Evolution Strategies Based Approach To Image Registration
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
The probably approximately correct (PAC) population size of a genetic algorithm
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
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Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes' ruggedness and Probably Approximately Correct (PAC) learning theory.