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OMEGA - ordering messy GA: solving permutation problems with the fast messy genetic algorithm and random keys

Published: 10 July 2000 Publication History

Abstract

This paper presents an ordering messy genetic algorithm (OmeGA) that is able to solve difficult permutation problems efficiently. It is essentially a fast messy genetic algorithm (fmGA) using random keys to represent chromosomes. Experimental results that show the random key-based simple genetic algorithm (RKGA) being outperformed by its messy competitor in 32-length ordering deceptive problems are presented.

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cover image Guide Proceedings
GECCO'00: Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation
July 2000
1081 pages

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Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 10 July 2000

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