国际维也纳多瑙河亚德里亚自动化与制造协会
期刊
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作者:Zhu, J. , Shao, Z. H. , Chen, C.
来源:[J].International Journal of Simulation Modeling(IF 1.656), 2019, Vol.18 (3), pp.521-530国际维也纳多瑙河亚德里亚自动化与制造协会
摘要:The traditional swarm intelligence algorithms are inefficient and difficult to converge to the optimal solution of the job-shop scheduling problem (JSP). In this paper, an improved whale optimization algorithm (IWOA) is proposed based on quantum computing to solve the discrete JS...

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