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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages1087-1092
Number of pages6
ISBN (Print)981279946X, 9789812799463
DOIs
Publication statusPublished - 2008
EventComputational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain
Duration: 21 Sept 200824 Sept 2008

Publication series

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

Conference

ConferenceComputational Intelligence in Decision and Control - 8th International FLINS Conference
Country/TerritorySpain
CityMadrid
Period21/09/0824/09/08

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