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Complex-valued encoding metaheuristic optimization algorithm: A comprehensive survey
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DOI：10.1016/j.neucom.2019.06.112.png)
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Abstract
En 中文
The number of publications related to complex-valued encoding metaheuristic optimization research is increasing the area of metaheuristic optimization is gaining in popularity. In this paper, we aim to pro-vide researchers with a comprehensive and extensive overview of complex-valued encoding metaheuristic algorithms and applications for function optimization, engineering optimization design, and combination optimization. Compared with the basic metaheuristic algorithm, which are based on real-valued encod-ing or binary encoding, the complex-valued encoding metaheuristic algorithm expands the dimension of the search region and efficiently avoids the problem of falling into the local minimum. Finally, eight complex-valued encoding metaheuristic algorithms were used for 29 benchmark test functions and five engineering optimization design problems. Through the analysis and comparison of the results with sta-tistical significance, the superiority of complex-value encoding was proved, and the complex-value en-coding metaheuristic algorithm with the best performance was obtained. The purpose of this review is to present a relatively comprehensive list of all the complex-value encoding metaheuristic algorithms in the literature to inspire further research. (C) 2020 Elsevier B.V. All rights reserved.
Keywords:
Complex-valued encoding
Complex-valued encoding Metaheuristic algorithm
Combination optimization
Engineering optimization design
Function optimization