Idealized Dynamic Population Sizing for Uniformly Scaled Problems

Details Idealized Dynamic Population Sizing for Uniformly Scaled Problems Idealized Dynamic Population Sizing for Uniformly Scaled Problems

2011-04-13

arxiv.org/abs/1104.2644v1

Computer Science

Neural and Evolutionary Computing

14 pages, submitted to ACM GECCO-2011

Scientific paper

This paper explores an idealized dynamic population sizing strategy for solving additive decomposable problems of uniform scale. The method is designed on top of the foundations of existing population sizing theory for this class of problems, and is carefully compared with an optimal fixed population sized genetic algorithm. The resulting strategy should be close to a lower bound in terms of what can be achieved, performance-wise, by self-adjusting population sizing algorithms for this class of problems.

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