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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Computer methods in applied mechanics and engineering Ročník 197; číslo 33; s. 3080 - 3091
Hlavní autoři:	Fesanghary, M., Mahdavi, M., Minary-Jolandan, M., Alizadeh, Y.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.06.2008 Elsevier
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!