Solution of the Distributed Permutated Flow Shop Scheduling Problems and Artificial Bee Colony Algorithm

Year 2020, Volume: 7 Issue: 2, 549 - 562, 31.05.2020

İpek Küpeli , Ahmet Sarucan , Ahmet Sezer Küpeli

https://doi.org/10.31202/ecjse.670424

Cited By: 1

Abstract

In this study, distributed permutation flow type scheduling problems, whose purpose function is minimization of maximum completion time, are discussed. The difference of this problem from the classical flow-type scheduling problem is that jobs are distributed across multiple factories. Artificial bee colony algorithm, based on the foraging behavior of bees in the nature, was used to solve the problem. The NEH (Nawaz Enscore Ham) intuition has been used to produce the initial solutions of the algorithm. In the phases of the algorithm (worker, observer and explorer bee phase), the displacement method is used for neighboring solutions. In this method, different jobs were obtained by changing the positions of two randomly selected jobs. The success of the algorithm on the problem has been measured in the literature using Taillard's small and large test problems. The algorithm has been compared to 14 intuitive and has presented the best results.

Keywords

Distributed permutation flow shop scheduling; NEH heuristic; artificial bee colony algorithm

Dağıtık Permütasyon Akış Tipi Çizelgeleme Problemlerinin Yapay Arı Koloni Algoritması İle Çözümü

Abstract

Bu çalışmada amaç fonksiyonu minimum tamamlanma süresi olan dağıtık permütasyon akış tipi çizelgeleme problemleri ele alınmıştır. Bu problemin klasik akış tipi çizelgeleme probleminden farkı, işlerin birden fazla fabrikaya dağıtılmasıdır.
Problemin çözümünde doğadaki arıların besin arama davranışını temel alan yapay arı koloni algoritması kullanılmıştır. Algoritmanın başlangıç çözümleri üretmesinde NEH sezgiselinden yararlanılmıştır. Algoritmanın evrelerinde, (işçi, gözlemci ve kâşif arı evresi) komşu çözümler için yer değiştirme metodu kullanılmıştır. Bu metotta rastgele seçilen iki işin yerleri değiştirilerek farklı iş sıraları elde edilmiştir.
Algoritmanın problem üzerindeki başarısı literatürde iyi bilinin Taillard’ın küçük ve büyük boyutlu test problemleri kullanılarak gösterilmiştir. Algoritma, 14 adet sezgisel ile karşılaştırılmıştır ve en iyi sonuçları sunmuştur.

Keywords

Dağıtık permütasyon akış tipi çizelgeleme, yapay arı kolonisi algoritması, NEH sezgiseli

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