Quantum-inspired Evolutionary Algorithm: A Survey

Ning Wang, Huaixiao Wang, Conghua Cao, Lei Xin, Yi Zhang, Yan Song, Qing Sun

Abstract


To provide a reference for the study of Quantum-Inspired Evolutionary Algorithm (QIEA), the combination of qualitative and quantitative methods is applied to analyze the literatures and references about QIEA. The status, the hot spots and the development trends of QIEA are explored based on the literatures. The results show that the research on QIEA has been increasing every year since it is proposed. The theoretical research, algorithm research and application research have been expanded and deepened. There have been many achievements about the application and research about QIEA, and QIEA will be one of the protagonists of optimization algorithms in future


DOI
10.12783/dtetr/mimece2016/10026

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