Particle swarm optimization performance on special linear programming problems

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Küçük Resim

Tarih

2010

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Academic Journals

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Linear programming (LP) is one of the best known optimization problems solved generally with Simplex Method. Most of the real life problems have been modeled as LP. The solutions of some special LP problems exhibiting cycling have not been studied except for the classical methods. This study, aimed to solve some special LP problems, exhibit cycling with Particle Swarm Optimization (PSO) and to show PSO performance for these problems. So, some special problems taken from literature have been solved with PSO. Results taken from Genetic Algorithm (GA) and PSO have been compared with the reference. The results have shown that PSO performance is generally better than GA in view of optimality and solution time. And it is also proposed that cycling problems are used for testing the performance of new developed algorithms like Numerical Benchmark Functions.

Açıklama

WOS: 000279559900013

Anahtar Kelimeler

LP, cycling, PSO

Kaynak

Scientific Research And Essays

WoS Q Değeri

Q3

Scopus Q Değeri

N/A

Cilt

5

Sayı

12

Künye