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Content Provider | IEEE Xplore Digital Library |
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Author | Chaoyong Qin Jiajun Zhu Jianguo Zheng |
Copyright Year | 2009 |
Description | Author affiliation: School of Business and Management, Donghua University, No.1882 Yanan Road, Shanghai, China (Jiajun Zhu; Jianguo Zheng) || School of Math and Information, Science, Guangxi University, No.100 Daxue Road, Nanning, China (Chaoyong Qin) |
Abstract | In this paper, a hybrid quantum-inspired evolutionary algorithm (HQEA) for multi-objective JSSP is proposed. In the HQEA, a quantum bit is employed to represent processing priority of two operations executed on the same machine. Updating operator of quantum gate is used to speed up individuals converge toward the current best solution. Conventional crossover is performed as well. However, an individual produced by updating operator and crossover operator may represent no feasible schedule. To repair illegal solution, harmonization algorithm is employed. At last, local search operator is designed to exploit the space around the current best solution. Experiments are conducted on benchmark test problems, the results show that the proposed approach can search for the near-optimal and non dominated solutions by optimizing the makespan and mean flow time. The results of comparisons demonstrates that the proposed approach outperform another well established multi-objective evolutionary algorithm based JSSP approach. |
Starting Page | 168 |
Ending Page | 173 |
File Size | 95014 |
Page Count | 6 |
File Format | |
ISBN | 9781424447541 |
DOI | 10.1109/ICICISYS.2009.5358297 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-11-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Chaos Local search Job shop scheduling Evolutionary computation Genetic algorithms Concurrent computing Information science Quantum computing Processor scheduling Databases Quantum mechanics Multi-objective job shop scheduling Quantum-inspired evolutionary algorithm |
Content Type | Text |
Resource Type | Article |
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