Genetic algorithms, efficiency enhancement, and deciding well with fitness functions with differing bias values
24 June 2002Sastry, K., Goldberg, D. E. (2002). Proceedings of the Genetic and Evolutionary Computation Conference. 536—543. [Full paper - PDF] [Full paper - PS] [Presentation slides].
Abstract:
This study develops a decision-making strategy for deciding between fitness functions with differing bias values. Simple, yet practical facetwise models are derived to aid the decision-making process. The decision making strategy is designed to provide maximum speed-up and thereby enhance the efficiency of GA search processes. Results indicate that bias can be handled temporally and that significant speed-up values can be obtained.
Posted in Conference Proceedings, Genetic and Evolutionary Algorithm Theory, Principled Efficiency Enhancement Techniques, Publications |
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