Please use this identifier to cite or link to this item:
Title: New algorithm for analyzing performance of neighborhood strategies in solving job shop scheduling problems
Authors: Eswaramurthy, V P
Keywords: Job shop scheduling
Neighborhood structures
Pheromone trail
Tabu length
Tabu list
Issue Date: Aug-2008
Publisher: CSIR
Abstract: This paper presents tabu search to solve job shop scheduling problems. Various neighborhood strategies are introduced and an algorithm is developed to analyze performance of these strategies with new dynamic tabu length strategy. Performance of algorithm is tested using well-known benchmark problems and also compared with other algorithms.
Description: 579-588
ISSN: 0022-4456
Appears in Collections: JSIR Vol.67(08) [August 2008]

Files in This Item:
File Description SizeFormat 
JSIR 67(8) 579-588.pdf111.98 kBAdobe PDFView/Open

Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.