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Application research of flow shop scheduling optimum based on genetic algorithm

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3 Author(s)
FaJiang He ; Coll. of Mech. Eng., Shanghai Univ. of Eng. Sci., Shanghai, China ; MingHong Wang ; Yue Wang

Flow shop scheduling optimum is an important research field in flow shop manufactures enterprise. A optimum method for parallel multi machines flow shop schedule based on genetic algorithm by hybridising and mutating operators is provided with minimum weighted absolute delay time, the optimum solution based on genetic algorithm is proved to be effective by actual example.

Published in:
Artificial Intelligence and Education (ICAIE), 2010 International Conference on

Date of Conference: 29-30 Oct. 2010

Page(s):
335 - 338
Print ISBN:
978-1-4244-6935-2
INSPEC Accession Number:
11662439
Conference Location :
Hangzhou
Digital Object Identifier :
10.1109/ICAIE.2010.5641041
Product Type:
Conference Publications

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