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Multiobjective Job Shop Scheduling using Genetic Algorithm with Cyclic Fitness Assignment

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2 Author(s)
Tsung-Che Chiang ; Nat. Taiwan Univ., Taipei ; Li-Chen Fu

A job shop scheduling problem with total tardiness and the maximum tardiness as objectives is addressed. We solve it by a rule-coded genetic algorithm. Characteristics of three existing fitness assignment mechanisms are identified and then combined through the proposed cyclic fitness assignment mechanism. Experiments are conducted on a public benchmark problem set, and the results show that the proposed algorithm outperforms the existing ones.

Published in:

Evolutionary Computation, 2006. CEC 2006. IEEE Congress on

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