EPrints@IIT Delhi : Item 2074/1306

Please use this identifier to cite or link to this item: http://hdl.handle.net/2074/1306

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DC Field	Value	Language
contributor.author	Solimanpur, M	-
contributor.author	Vrat, P	-
contributor.author	Shankar, R	-
date.accessioned	2006-02-18T09:35:31Z	-
date.available	2006-02-18T09:35:31Z	-
date.issued	2004	-
identifier.citation	Computers & Operations Research, 31(13), 2151-2164	en
identifier.uri	http://eprint.iitd.ac.in/dspace/handle/2074/1306	-
description.abstract	Flow shop scheduling deals with the sequencing of different jobs that visit a set of machines in the same order. A neural networks-based tabu search method, namely EXTS, is proposed for the flow shop scheduling. Unlike the other tabu search-based methods, the proposed approach helps diminishing the tabu effect in an exponential way rather than most commonly used way of diminishing it in a sudden manner. On the basis of the conducted tests, some rules are evolved to set the values for different parameters. The effectiveness of the proposed method is tested with 23 problems selected from literature. The computational results indicate that the proposed approach is effective in terms of reduced makespan for the attempted problems.	en
format.extent	533383 bytes	-
format.mimetype	application/pdf	-
language.iso	en	en
subject	Scheduling	en
subject	Flow shop scheduling	en
subject	Tabu search	en
subject	Exponential tabu search	en
subject	Neural networks	en
title	A neuro-tabu search heuristic for the flow shop scheduling problem	en
type	Article	en
Appears in Collections:	Mechanical Engineering

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