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用于高维函数优化的多智能体量子进化算法 被引量:7

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摘要 基于智能体的竞争和学习能力、量子计算理论及生物进化策略,提出了一种新的优化方法——多智能体量子进化算法.一个智能体代表优化问题的一个可能解,所有的智能体都以量子染色体表示.该算法将智能体分布于多智能体网络环境中,智能体之间通过量子进化来实现竞争及学习,以提高个体的竞争能力.理论证明该算法具有全局收敛性.实验结果表明,该算法具有强的全局寻优能力及快速搜索能力.
出处 《自然科学进展》 北大核心 2008年第2期197-205,共9页
基金 国家自然科学基金(批准号:60372072) 上海自然科学基金(批准号:06ZR14004)资助项目
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参考文献18

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