Genetic algorithms: a survey

Srinivas, M and Patnaik, LM (1994) Genetic algorithms: a survey. In: Computer, 27 (6). 17 -26.

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Abstract

Genetic algorithms provide an alternative to traditional optimization techniques by using directed random searches to locate optimal solutions in complex landscapes. We introduce the art and science of genetic algorithms and survey current issues in GA theory and practice. We do not present a detailed study, instead, we offer a quick guide into the labyrinth of GA research. First, we draw the analogy between genetic algorithms and the search processes in nature. Then we describe the genetic algorithm that Holland introduced in 1975 and the workings of GAs. After a survey of techniques proposed as improvements to Holland's GA and of some radically different approaches, we survey the advances in GA theory related to modeling, dynamics, and deception

Item Type:	Journal Article
Publication:	Computer
Publisher:	IEEE
Additional Information:	Copyright 1994 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	01 Apr 2011 06:16
Last Modified:	23 Oct 2018 08:01
URI:	http://eprints.iisc.ac.in/id/eprint/36504

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