Fitness uniform deletion: A simple way to preserve diversity
Date
2005
Authors
Legg, Shane
Hutter, Marcus
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Association for Computing Machinery Inc (ACM)
Abstract
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system's progress or even halt it completely if the population converges on a local optimum from which it cannot escape. In this paper we present the Fitness Uniform Deletion Scheme (FUDS), a simple but somewhat unconventional approach to this problem. Under FUDS the deletion operation is modified to only delete those individuals which are "common" in the sense that there exist many other individuals of similar fitness in the population. This makes it impossible for the population to collapse to a collection of highly related individuals with similar fitness. Our experimental results on a range of optimisation problems confirm this, in particular for deceptive optimisation problems the performance is significantly more robust to variation in the selection intensity.
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Keywords: Genetic algorithms; Optimization; Robustness (control systems); Systems analysis; Optimisation methods; Population diversity; Problem solving Genetic algorithms; Population diversity
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Source
The Proceedings of the Genetic and Evolutionary Computation Confeence (GECCO 2005)
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Conference paper
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Restricted until
2037-12-31
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