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Browse Conference Publications > Intelligent Systems, 2009. GC ... Help

Application of Optimization Genetic Algorithm in Fuzzy Job Shop Scheduling Problem

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1 Author(s)
Jian-jun Liu ; Dept. of Comput. Dezhou, Univ. Dezhou Shandong, Dezhou, China

Both fuzzy processing time and fuzzy due date are considered following a study of the fuzzy job shop scheduling problem, in order to achieve the object of minimum fuzzy completed time and maximum average degree of satisfaction. Fuzzy processing time is expressed with the triangle fuzzy variable, and fuzzy due date is expressed with the trapezoid fuzzy variable. The optimization genetic algorithm is proposed to solve the optimal scheduling sequence. Researches are made in coding, decoding, crossover and mutation etc. Finally, the experimental results and conclusion are given.

Published in:
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on  (Volume:1 )

Date of Conference: 19-21 May 2009

Page(s):
436 - 440
Print ISBN:
978-0-7695-3571-5
INSPEC Accession Number:
10838715
Conference Location :
Xiamen
Digital Object Identifier :
10.1109/GCIS.2009.172
Product Type:
Conference Publications

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