A new insight into the schema survival after crossover and mutation for genetic algorithms having distributed population set

descriptionPublicationkeyboard_double_arrow_right Article 20 Jan 2018 English Publisher:Springer Science and Business Media LLCJournal:International Journal of Information Technology, volume 10, pages 165-168 (issn: 2511-2104, eissn: 2511-2112,

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Authors: Apoorva Mishra; Anupam Shukla;

doi: 10.1007/s41870-018-0087-2

A new insight into the schema survival after crossover and mutation for genetic algorithms having distributed population set

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Abstract

Genetic algorithms are one of the most popular optimization algorithms. Schema theory provides a mathematical foundation for the working of genetic algorithm. Different variants of the basic genetic algorithm have been proposed; and genetic algorithm having distributed population set (Island model of genetic algorithm) is one of them. In this paper, traditional schema theory is extended for the case of genetic algorithm having distributed population set and the probability of schema survival for such case is derived.

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