Genetic AlgorithmsandTheir
ApplicationstoWaterResources
Systems

Rani, Deepti; Jain, Sharad K.; Srivastava, D. K.; Perumal, M.

dc.contributor.author	Rani, Deepti
dc.contributor.author	Jain, Sharad K.
dc.contributor.author	Srivastava, D. K.
dc.contributor.author	Perumal, M.
dc.date.accessioned	2020-02-06T05:32:16Z
dc.date.available	2020-02-06T05:32:16Z
dc.date.issued	2013
dc.identifier.citation	Metaheuristics inWater,GeotechnicalandTransportEngineering	en_US
dc.identifier.uri	http://117.252.14.250:8080/jspui/handle/123456789/4068
dc.description.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).	en_US
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.relation.ispartofseries	;Chapter 3
dc.subject	Genetic Algorithms	en_US
dc.subject	Water Resources Systems	en_US
dc.title	Genetic AlgorithmsandTheir ApplicationstoWaterResources Systems	en_US
dc.type	Book chapter	en_US