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...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of hydroinformatics Vol. 9; no. 3; pp. 233 - 250
Main Authors:	Haddad, Omid Bozorg, Mariño, Miguel A.
Format:	Journal Article
Language:	English
Published:	London IWA Publishing 01.07.2007
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!