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What is Species

Encyclopedia of Artificial Intelligence
Within the context of genetic algorithm, a subset of genetic individuals with similar genotype (genetic values) which explore the same, or a similar, area of the search space.
Published in Chapter:
Finding Multiple Solutions with GA in Multimodal Problems
Marcos Gestal (University of A Coruña, Spain) and Mari Paz Gómez-Carracedo (University of A Coruña, Spain)
Copyright: © 2009 |Pages: 7
DOI: 10.4018/978-1-59904-849-9.ch098
Abstract
Traditionally, the Evolutionary Computation (EC) techniques, and more specifically the Genetic Algorithms (GAs) (Goldberg & Wang, 1989), have proved to be efficient when solving various problems; however, as a possible lack, the GAs tend to provide a unique solution for the problem on which they are applied. Some non global solutions discarded during the search of the best one could be acceptable under certain circumstances. The majority of the problems at the real world involve a search space with one or more global solutions and multiple local solutions; this means that they are multimodal problems (Harik, 1995) and therefore, if it is desired to obtain multiple solutions by using GAs, it would be necessary to modify their classic functioning outline for adapting them correctly to the multimodality of such problems.
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More Results
Genetic Algorithms in Multimodal Search Space
Within the context of genetic algorithms, subset of genetic individuals with similar genotypes (genetic values) that explores a similar area in the search space.
Full Text Chapter Download: US $37.50 Add to Cart
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