Herd male genetic algorithm

H. John Caulfield

doi:10.1117/12.408565

29 November 2000 Herd male genetic algorithm

H. John Caulfield

Proceedings Volume 4114, Photonic Devices and Algorithms for Computing II; (2000) https://doi.org/10.1117/12.408565
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

There are two extremes in optimization with little ground between them. They are local optimization and global optimization. Local optimization is normally very fast, but the optimum it finds may be far from the best (global) optimum. Global optimization is very slow, but it gives the best optimum- at least in principle. Using mammal herds as rough models, we suggest a new evolutionary method that has aspects of both and achieves intermediate results most of the time: faster-than-global convergence with better-than- local performance.

Citation Download Citation

H. John Caulfield "Herd male genetic algorithm", Proc. SPIE 4114, Photonic Devices and Algorithms for Computing II, (29 November 2000); https://doi.org/10.1117/12.408565

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