Revisiting Bremermann's genetic algorithm: II. Comparing discrete multiparent recombination to mutation

David B. Fogel; Gary B. Fogel

doi:10.1117/12.421184

21 March 2001 Revisiting Bremermann's genetic algorithm: II. Comparing discrete multiparent recombination to mutation

David B. Fogel, Gary B. Fogel

Proceedings Volume 4390, Applications and Science of Computational Intelligence IV; (2001) https://doi.org/10.1117/12.421184
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Hans Bremermann was one of the pioneers of evolutionary computation. Many of his early suggestions for designing evolutionary algorithms anticipated future inventions. One such suggestion included the recombination of more than two parents, both in discrete particles (genes) and by blending. We have revisited Bremermann's original experiments from the early 1960s with linear systems of equations and extended them to include multiple trials that compare the use of mutation alone to the use of multi parent discrete recombination. The results indicate that for linear systems of small dimension, mutation alone outperforms multi parent discrete recombination for any number of parents from 2 to 50. In contrast, for linear systems of larger dimension, mutation alone is outperformed by all multi parent discrete recombination operators, for any number of parents from 2 to 50. The results suggest that it may be insufficient to classify a problem to be of a certain type i.e., amenable to a particular operator, in the absence of knowing the number of dimensions.

Citation Download Citation

David B. Fogel and Gary B. Fogel "Revisiting Bremermann's genetic algorithm: II. Comparing discrete multiparent recombination to mutation", Proc. SPIE 4390, Applications and Science of Computational Intelligence IV, (21 March 2001); https://doi.org/10.1117/12.421184

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