New global hybrid optimization algorithm

Tayfun Gunel*, Bingul Yazgan

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Özet

In this work a new global hybrid optimization algorithm is developed and applied to some test problems. New algorithm is based on Controlled Random Search (CRS) procedure for global optimization and Adaptive Complex Method `Acomplex'. New algorithm is examined both theoretically and numerically. The performance of the hybrid and various global optimization algorithms are compared. The results of test with classical global optimization problems show that the hybrid algorithm compares favorably with the best alternatives.

Orijinal dilİngilizce
Sayfalar299-305
Sayfa sayısı7
Yayın durumuYayınlandı - 1994
EtkinlikProceedings of the 2nd Biennial European Joint Conference on Engineering Systems Design and Analysis. Part 1 (of 8) - London, Engl
Süre: 4 Tem 19947 Tem 1994

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???event.eventtypes.event.conference???Proceedings of the 2nd Biennial European Joint Conference on Engineering Systems Design and Analysis. Part 1 (of 8)
ŞehirLondon, Engl
Periyot4/07/947/07/94

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