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An improved water wave optimization algorithm with the single wave mechanism for the no-wait flow-shop scheduling problem

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journal contribution
posted on 2018-11-26, 13:24 authored by Fuqing Zhao, Lixin Zhang, Huan Liu, Yi Zhang, Weimin Ma, Chuck Zhang, Houbin Song

In this article, a water wave optimization algorithm with a single wave mechanism, called single water wave optimization (SWWO), is proposed to solve the no-wait flow-shop scheduling problem (NWFSP) with the objective of minimizing the makespan. In the proposed SWWO, an improved Nawaz–Enscore–Ham (NEH) heuristic is applied to construct a high-quality initial candidate. In the propagation operation, a self-adaptive block-shift operation is employed. In the breaking operation, a variable neighbourhood search operation is utilized to explore the local optimal solution. According to the schema theory as presented in genetic algorithms, a crossover operation is adopted as the refraction operation. Finally, the computational results based on several benchmarks and statistical performance comparisons are presented. The experimental results demonstrate the effectiveness and efficiency of the proposed SWWO for solving the NWFSP.

Funding

This work was financially supported by the National Natural Science Foundation of China [grant number 61663023]. It was also supported by the Key Research Programs of Science and Technology Commission Foundation of Gansu Province [2017GS10817], Wenzhou Public Welfare Science and Technology Project [G20170016], and the General and Special Program of the Postdoctoral Science Foundation of China, the Science Foundation for Distinguished Youth Scholars of Lanzhou University of Technology [grant numbers 2012M521802, 2013T60889 and J201405, respectively].

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