(Enter summary)
Abstract: Genetic algorithms (GAs) with fitness sharing have been analyzed and successfully applied
to problems in search and optimization, while GAs using various types of resource sharing
have been incorporated into classifiers, immune system models, artificial ecologies, artificial
economies, etc. Both types of sharing are based on the same observation of nature: dividing
a finite resource among competing organisms limits the size of populations dependent on that
resource. If multiple resources are... (Update)
Context of citations to this paper: More
...class of optimization problem niching becomes a necessity for a GA to solve these problems. This statement is even stronger than in (Horn, 1997) where it is stated that even without the need of a diverse population, for example to obtain multiple optima, niching can be bene...
...niches. GAs which employ niching mechanisms become capable of nding multiple solutions to a problem, within a single population [2] 3] [4]. Among these methods, the most popular is tness sharing, that works by modifying the objective function according to the presence of...
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BibTeX entry: (Update)
Horn, J. (1997). The Nature of Niching: Genetic Algorithms and the Evolution of Optimal, Cooperative Populations. Ph.D. thesis, University of Illinois at UrbanaChampaign, (UMI Dissertation Services, No. 9812622). http://citeseer.ist.psu.edu/horn97nature.html More
@techreport{ horn97nature,
author = "Jeffrey Horn",
title = "The Nature of Niching: Genetic Algorithms and the Evolution of Optimal, Cooperative Populations",
number = "UIUCDCS-R-97-2000",
year = "1997",
url = "citeseer.ist.psu.edu/horn97nature.html" }
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13
San Mateo (context) - Genetic - 1995
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