Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem

Ismail KOC

Makale detayları

Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem

Yazarlar:

Ismail KOC

Yayıncı:

İsmail SARITAŞ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2016 Vol.4 Issue Special Issue-1, pp.185-189

Belge Tipi:

Makale

Yayın Tarihi:

12/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000817525

Sıklık:

Üç Aylık

eISSN:

2147-6799

Özet:

 


The
big bang–big crunch (BB–BC) algorithm has been proposed as a new optimization
method based on the big bang and big crunch theory, one of the theories of the
evolution of the universe. The BB-BC algorithm has been firstly presented to
solve the optimization problems with continuous solutions space. If the
solution space of the problem is binary-structural, the algorithm must be
modified to solve this kind of the problems. Therefore, in this study, the
BB-BC method, one of the population-based optimization algorithms, is modified
to deal with binary optimization problems. The performance of the proposed
methods is analyzed on uncapacitated facility location problems (UFLPs) which
are one of the binary problems used in literature. The well-known small and medium
twelve instances of UFLPs are used to analyze the performances and the effects
of the control parameter of the BB-BC algorithm. The obtained results are
comparatively presented. According to the experimental results, the binary
version of the BB-BC method achieves successful results in solving UFLP in
terms of solution quality.


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Makale detayları

Big Bang-Big Crunch Optimization Algorithm for Solving the Uncapacitated Facility Location Problem

Yazarlar: Ismail KOC

Yayıncı: İsmail SARITAŞ

Ana Başlıklar: Uygulamalı fizik

Dergi: International Journal of Intelligent Systems and Applications in Engineering 2016 Vol.4 Issue Special Issue-1, pp.185-189

Belge Tipi: Makale

Yayın Tarihi: 12/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000817525

Sıklık: Üç Aylık

eISSN: 2147-6799

Sayı

Yazarlar:

Ismail KOC

Yayıncı:

İsmail SARITAŞ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2016 Vol.4 Issue Special Issue-1, pp.185-189

Belge Tipi:

Makale

Yayın Tarihi:

12/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000817525

Sıklık:

Üç Aylık

eISSN:

2147-6799