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Computer ScienceMathematics

On benchmarking functions for genetic algorithms

Jason G. Digalakis, K. Margaritis

2001.1.1INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

DOI: 10.1080/00207160108805080

tlooto Summary

Experimental results on the major benchmarking functions used for performance evaluation of Genetic Algorithms (GAs) are presented, including the effect of population size, crossover probability, mutation rate and pseudorandom generator.

Abstract

Abstract is not available.

Citation format

DIGALAKIS, Jason G.; MARGARITIS, K. On benchmarking functions for genetic algorithms. INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2001, 77: 481–506.