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A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover

Watson, Richard A., Yao, Xin and al, et(eds.) (2004) A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover Proceedings of the 8th International Conference on Parallel Problem Solving from Nature (PPSN-VIII), pp. 161-171.

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Theoretically and empirically it is clear that a genetic algorithm with crossover will outperform a genetic algorithm without crossover in some fitness landscapes, and vice versa in other landscapes. Despite an extensive literature on the subject, and recent proofs of a principled distinction in the abilities of crossover and non-crossover algorithms for a particular theoretical landscape, building general intuitions about when and why crossover performs well when it does is a different matter. In particular, the proposal that crossover might en-able the assembly of good building-blocks has been difficult to verify despite many attempts at idealized building-block landscapes. Here we show the first example of a two-module problem that shows a principled advantage for cross-over. This allows us to understand building-block assembly under crossover quite straightforwardly and build intuition about more general landscape classes favoring crossover or disfavoring it.

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Published date: 2004
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 262005
PURE UUID: d49189c6-5ece-4009-b407-477f7e2d1d2e

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Date deposited: 21 Feb 2006
Last modified: 18 Jul 2017 08:56

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Editor: Xin Yao
Editor: et al

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