DJOB SHOP SCHEDULING WITH KRILL HERD ALGORITHM

Yıl 2014, Cilt: 16 Sayı: 48, 61 - 75, 01.09.2014

İlker Gölcük , Adil Baykasoğlu F Selen Madenoğlu

Öz

Krill herd algorithm is a recently proposed swarm based metaheuristic algorithm for
solving real life problems. In the literature, the performance of the algorithm has been tested
on non-linear continuous optimization problems. In this study, the performance of the krill herd
algorithm is tested on job shop scheduling problems, which is one of combinatorial
optimization problems, for the first time in the literature. Job shop scheduling problems are one
of the most complex and important problems with representative characteristics to other hard
combinatorial optimization problems. This study provides some idea about krill herd
algorithm’s possible performance for solving other combinatorial optimization problems.

Anahtar Kelimeler

Krill herd algorithm, Job shop scheduling problem, Metaheuristic algorithms, Swarm intelligence

KRİL SÜRÜSÜ ALGORİTMASI İLE ATÖLYE ÇİZELGELEME

Öz

Kril sürüsü algoritması gerçek hayat problemlerini çözmek amacıyla yakın dönemde
literatüre kazandırılmış sürü temelli metasezgisel algoritmalardar biridir. Algoritmanın
performansı literatürde sürekli-sayı değişkenlere sahip doğrusal olmayan optimizasyon
problemleri üzerinde denenmiştir. Bu çalışmada kril sürüsü algoritmasının performansı
literatürde ilk kez kombinatoryal optimizasyon problemlerinden biri olan atölye tipi
çizelgeleme problemleri üzerinde test edilmiştir. Atölye tipi çizelgeleme problemleri, diğer zor
kombinatoryal optimizasyon problemlerini temsil eden önemli bir problem türü olduğundan,
bu çalışma algoritmanın diğer kombinatoryal problemlerdeki olası performansı hakkında ön
bilgiler vermektedir

Anahtar Kelimeler

Krill sürüsü algorithması, Atölye çizelgeleme problemi, Metasezgisel algoritmalar, Sürü zekası

Kaynakça

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