A quantum immune algorithm for multiobjective parallel machine scheduling

Authors:
Zhiming Fang
Affiliations:
Zhijiang College, Zhejiang University of Technology, Hangzhou, China
Venue:
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2010

Citing 4
Cited 0

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Abstract

The study presents a novel quantum immune algorithm (QIA) for solving the parallel machine scheduling in the textile manufacturing industry In this proposed algorithm, there are distinct characteristics as follows First, the encoding method is based on Q-bit representation Second, a novel mutation operator with a chaos-based rotation gate is proposed Most importantly, two diversity schemes, suppression algorithm and similarity-based truncation algorithm, are employed to preserve the diversity of the population, and a new selection scheme is proposed to create the new population Simulation results show that QIA is better than two quantum-inspired evolutionary algorithms.