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Noise, sampling, and genetic algorithms.
Miller, B.L. (1997)TR No.: 97001 | Download PDF | Download PS
Abstract:
As genetic algorithms (GA) move into industry, a thorough understanding of how GAs are affected by noise is becoming increasingly important. Noise affects a GA’s population sizing requirements, performance characteristics, and computational requirements. This research develops quantitative models for determining the effects of noise on the operation of a GA. Furthermore, the question of how […]
Posted: January 8th, 1997 under Genetic algorithms. Comments: none