Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/4068
Title: Genetic AlgorithmsandTheir ApplicationstoWaterResources Systems
Authors: Rani, Deepti
Jain, Sharad K.
Srivastava, D. K.
Perumal, M.
Keywords: Genetic Algorithms
Water Resources Systems
Issue Date: 2013
Publisher: Elsevier
Citation: Metaheuristics inWater,GeotechnicalandTransportEngineering
Series/Report no.: ;Chapter 3
Abstract: Accordingto Mitchell(1999), “Inthe1950sandthe1960sseveralcomputer scientistsindependentlystudiedevolutionarysystemswiththeideathatevolution couldbeusedasanoptimizationtoolforengineeringproblems.Theideawasto evolveapopulationofcandidatesolutionstoagivenproblem,usingoperators inspiredbynaturalgeneticvariationandnaturalselection.”Allthesetechniques are collectivelyreferredtoas evolutionarycomputation(EC)techniques. ECtech- niques,alsoknownasheuristicsearchmethods,mostlyinvolvenature-inspired metaheuristicoptimizationalgorithmssuchasevolutionaryalgorithms(EAs),com- prisinggeneticalgorithms(GAs);evolutionaryprogramming,evolutionstrategy, and geneticprogramming;swarmintelligence,comprisingantcolonyoptimization and particleswarmoptimization;simulatedannealing;andtabusearch(Rani and Moreira,2010).
URI: http://117.252.14.250:8080/jspui/handle/123456789/4068
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