Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems

This study presents a hybrid harmony search algorithm (HHSA) to solve engineering optimization problems with continuous design variables. Although the harmony search algorithm (HSA) has proven its ability of finding near global regions within a reasonable time, it is comparatively inefficient in per...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 197; H. 33; S. 3080 - 3091
Hauptverfasser:	Fesanghary, M., Mahdavi, M., Minary-Jolandan, M., Alizadeh, Y.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.06.2008 Elsevier
Schlagworte:	Applied sciences Engineering optimization Exact sciences and technology Flows in networks. Combinatorial problems Harmony search algorithm Heuristic Hybridization Mechanical engineering. Machine design Operational research and scientific management Operational research. Management science Sequential quadratic programming Hybridization Sequential quadratic programming Engineering optimization Heuristic Harmony search algorithm Local search Empirical method Combinatorial optimization Quadratic programming Modeling Search algorithm Convergence Engineering design Sequential method Heuristic method Hybrid model Robustness Deterministic approach Metamodel
ISSN:	0045-7825, 1879-2138
Online-Zugang:	Volltext
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