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 |
Appears in Collections: | Chapters |
Files in This Item:
File | Description | Size | Format | |
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Genetic Algo WR- Deepti et al.pdf | 849.46 kB | Adobe PDF | View/Open |
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