量子启发的群体进化算法

2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007) Pub Date : 2007-12-15 DOI:10.1109/CIS.WORKSHOPS.2007.233

Huang Yourui, Tang Chao-li, Wang Shuang

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引用次数: 15

摘要

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。

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Quantum-Inspired Swarm Evolution Algorithm

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.

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2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007)

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