Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee mating optimization (HBMO) algorithm

Because of the complexity of some optimization problems, evolutionary and meta-heuristic algorithms are sometimes more applicable than the traditional optimization methods. Some difficulties in solving design-operation problems in the field of engineering are due to the multi-modality of the solutio...

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Veröffentlicht in:	Journal of hydroinformatics Jg. 9; H. 3; S. 233 - 250
Hauptverfasser:	Haddad, Omid Bozorg, Mariño, Miguel A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London IWA Publishing 01.07.2007
Schlagworte:	Algorithms Bees Capacity Capital costs Combinatorial analysis Complexity Computation Cost control Cost engineering Design Design engineering Design optimization Energy conservation Evolutionary algorithms Genetic algorithms Heuristic methods Honey Irrigation Irrigation systems Lagrange multiplier Mathematical models Mating Objective function Operating costs Optimal control Penalty function Problems Pumping Pumping stations Reproductive behaviour Scheduling Solutions Water demand Water resources Water utilities
ISSN:	1464-7141, 1465-1734
Online-Zugang:	Volltext
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