The study of job shop scheduling with hybrid genetic algorithms

The study of job shop scheduling with hybrid genetic algorithms

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Article ID: iaor2003522
Country: China
Volume: 10
Issue: 3
Start Page Number: 213
End Page Number: 216
Publication Date: Oct 2001
Journal: System Engineering Theory Methodology Applications
Authors: ,
Keywords: optimization: simulated annealing
Abstract:

In this paper a hybrid genetic algorithm is presented. It integrates GAs with existing methods and algorithms, such as heuristic rules, simulated annealing algorithms etc. This method was applied to the simulation of Integrated Circuit (IC) production process scheduling of a bipolar IC enterprise. The result proves that the method is effective and feasible.

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