Quantum-Inspired Evolutionary Algorithm for Continuous Space Optimization Based on Multiple Chains Encoding Method of Quantum Bits
2014 ◽
Vol 2014
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pp. 1-16
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Keyword(s):
This study proposes a novel quantum evolutionary algorithm called four-chain quantum-inspired evolutionary algorithm (FCQIEA) based on the four gene chains encoding method. In FCQIEA, a chromosome comprises four gene chains to expand the search space effectively and promote the evolutionary rate. Different parameters, including rotational angle and mutation probability, have been analyzed for better optimization. Performance comparison with other quantum-inspired evolutionary algorithms (QIEAs), evolutionary algorithms, and different chains of QIEA demonstrates the effectiveness and efficiency of FCQIEA.
2012 ◽
Vol 3
(2)
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pp. 1-18
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2003 ◽
Vol 11
(2)
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pp. 151-167
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2019 ◽
Vol 33
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pp. 4295-4303
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2015 ◽
Vol 24
(05)
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pp. 1550067
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2019 ◽
Vol 33
(05)
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pp. 1959017
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2021 ◽
Vol 26
(6)
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pp. 1-22
2018 ◽
Vol 27
(4)
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pp. 643-666
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