Quantum-Inspired Swarm Evolution Algorithm

Huang Yourui, Tang Chao-li, Wang Shuang
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引用次数: 15

Abstract

This paper proposes a novel quantum swarm evolution algorithm, called a quantum-inspired swarm evolution algorithm (QSEA), which is based on the concept and principles of quantum computing. The proposed algorithm adopts quantum angle to express Q-bit and improved particle swarm optimization to update automatically. After the quantum-inspired swarm evolution algorithm is described, the experiment results on the benchmark functions are given to show its efficiency.
量子启发的群体进化算法
基于量子计算的概念和原理,提出了一种新的量子群进化算法——量子启发群进化算法(quantum-inspired swarm evolution algorithm, QSEA)。该算法采用量子角表示q位,改进粒子群算法自动更新。在描述了量子启发的群体进化算法之后,给出了在基准函数上的实验结果,证明了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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