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

^*Corresponding author for this work

Department of Industrial Engineering

Selcuk University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	6
ISBN (Print)	981279946X, 9789812799463
DOIs	https://doi.org/10.1142/9789812799470_0178
Publication status	Published - 2008
Event	Computational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain Duration: 21 Sept 2008 → 24 Sept 2008

Publication series

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

Conference

Conference	Computational Intelligence in Decision and Control - 8th International FLINS Conference
Country/Territory	Spain
City	Madrid
Period	21/09/08 → 24/09/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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10.1142/9789812799470_0178

Cite this

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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

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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.

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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

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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

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