A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application

Cengiz Kahraman; Orhan Engin; Mustafa Kerim Yilmaz

doi:10.1142/9789812799470_0178

A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application

Cengiz Kahraman^*
, Orhan Engin
, Mustafa Kerim Yilmaz

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Selcuk University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

2 Atıf (Scopus)

Özet

In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problem. The objectives are considered to be minimizing the average tardiness and the number of tardy jobs. The developed new AIS algorithm is applied in an engine cylinder liner manufacturing process. The feasibility and effectiveness of the proposed new AIS is demonstrated by comparing with the Genetic algorithm. Computational results demonstrate that the proposed new AIS algorithm is a more effective meta-heuristic for the multi objective, flow shop scheduling problem with fuzzy processing time and due date.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
Yayınlayan	World Scientific Publishing Co. Pte Ltd
Sayfalar	1087-1092
Sayfa sayısı	6
ISBN (Basılı)	981279946X, 9789812799463
DOI'lar	https://doi.org/10.1142/9789812799470_0178
Yayın durumu	Yayınlandı - 2008
Etkinlik	Computational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain Süre: 21 Eyl 2008 → 24 Eyl 2008

Yayın serisi

Adı	World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Computational Intelligence in Decision and Control - 8th International FLINS Conference
Ülke/Bölge	Spain
Şehir	Madrid
Periyot	21/09/08 → 24/09/08

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1142/9789812799470_0178

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Kahraman, C., Engin, O., & Yilmaz, M. K. (2008). A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application. In World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference (pp. 1087-1092). (World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789812799470_0178

Kahraman, Cengiz ; Engin, Orhan ; Yilmaz, Mustafa Kerim. / A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling : A real world application. World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference. World Scientific Publishing Co. Pte Ltd, 2008. pp. 1087-1092 (World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference).

@inproceedings{e3480d42ee2b4057a3ca96c32a0e5809,

title = "A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application",

abstract = "In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problem. The objectives are considered to be minimizing the average tardiness and the number of tardy jobs. The developed new AIS algorithm is applied in an engine cylinder liner manufacturing process. The feasibility and effectiveness of the proposed new AIS is demonstrated by comparing with the Genetic algorithm. Computational results demonstrate that the proposed new AIS algorithm is a more effective meta-heuristic for the multi objective, flow shop scheduling problem with fuzzy processing time and due date.",

author = "Cengiz Kahraman and Orhan Engin and Yilmaz, \{Mustafa Kerim\}",

year = "2008",

doi = "10.1142/9789812799470\_0178",

language = "English",

isbn = "981279946X",

series = "World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference",

publisher = "World Scientific Publishing Co. Pte Ltd",

pages = "1087--1092",

booktitle = "World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference",

address = "Singapore",

note = "Computational Intelligence in Decision and Control - 8th International FLINS Conference ; Conference date: 21-09-2008 Through 24-09-2008",

}

Kahraman, C, Engin, O & Yilmaz, MK 2008, A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application. in World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference. World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference, World Scientific Publishing Co. Pte Ltd, pp. 1087-1092, Computational Intelligence in Decision and Control - 8th International FLINS Conference, Madrid, Spain, 21/09/08. https://doi.org/10.1142/9789812799470_0178

A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application. / Kahraman, Cengiz; Engin, Orhan; Yilmaz, Mustafa Kerim.
World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference. World Scientific Publishing Co. Pte Ltd, 2008. p. 1087-1092 (World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling

T2 - Computational Intelligence in Decision and Control - 8th International FLINS Conference

AU - Kahraman, Cengiz

AU - Engin, Orhan

AU - Yilmaz, Mustafa Kerim

PY - 2008

Y1 - 2008

N2 - In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problem. The objectives are considered to be minimizing the average tardiness and the number of tardy jobs. The developed new AIS algorithm is applied in an engine cylinder liner manufacturing process. The feasibility and effectiveness of the proposed new AIS is demonstrated by comparing with the Genetic algorithm. Computational results demonstrate that the proposed new AIS algorithm is a more effective meta-heuristic for the multi objective, flow shop scheduling problem with fuzzy processing time and due date.

AB - In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problem. The objectives are considered to be minimizing the average tardiness and the number of tardy jobs. The developed new AIS algorithm is applied in an engine cylinder liner manufacturing process. The feasibility and effectiveness of the proposed new AIS is demonstrated by comparing with the Genetic algorithm. Computational results demonstrate that the proposed new AIS algorithm is a more effective meta-heuristic for the multi objective, flow shop scheduling problem with fuzzy processing time and due date.

UR - https://www.scopus.com/pages/publications/58049175356

U2 - 10.1142/9789812799470_0178

DO - 10.1142/9789812799470_0178

M3 - Conference contribution

AN - SCOPUS:58049175356

SN - 981279946X

SN - 9789812799463

T3 - World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

SP - 1087

EP - 1092

BT - World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

PB - World Scientific Publishing Co. Pte Ltd

Y2 - 21 September 2008 through 24 September 2008

ER -

Kahraman C, Engin O, Yilmaz MK. A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application. In World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference. World Scientific Publishing Co. Pte Ltd. 2008. p. 1087-1092. (World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference). doi: 10.1142/9789812799470_0178

A new artificial immune system algorithm for multi objective fuzzy flow shop scheduling: A real world application

Özet

Yayın serisi

???event.eventtypes.event.conference???

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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