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Potholes on the Royal Road | | Theodore C. Belding
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6 Apr 2001 | | Subject: | Neural and Evolutionary Computing; Adaptation and Self-Organizing Systems ACM-class: I.2.m | cs.NE nlin.AO | | Abstract: | It is still unclear how an evolutionary algorithm (EA) searches a fitness landscape, and on what fitness landscapes a particular EA will do well. The validity of the building-block hypothesis, a major tenet of traditional genetic algorithm theory, remains controversial despite its continued use to justify claims about EAs. This paper outlines a research program to begin to answer some of these open questions, by extending the work done in the royal road project. The short-term goal is to find a simple class of functions which the simple genetic algorithm optimizes better than other optimization methods, such as hillclimbers. A dialectical heuristic for searching for such a class is introduced. As an example of using the heuristic, the simple genetic algorithm is compared with a set of hillclimbers on a simple subset of the hyperplane-defined functions, the pothole functions. | | Source: | arXiv, cs.NE/0104011 | | Services: | Forum | Review | PDF | Favorites | |
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