期刊文献+

微粒群优化算法及其在创新概念设计中的应用 被引量:1

Particle Swarm Optimization and Application in Creative Conceptual Design
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摘要 群体智能近年来受到了国际智能计算研究领域学者的广泛关注。微粒群优化是群体智能中最重要的一种算法。介绍了群体智能和微粒群算法的原理和算法流程,提出将微粒群优化算法应用于创新概念设计中,并展示了一个应用实例。 Swarm intelligence has attracted much attention among international researchers in the field of intelligent computing in recent years. Particle swarm optimization is one of the most important algorithms of swarm intelligence. In this paper, the theory and algorithm of swarm intelligence and particle swarm optimization are introduced. We also proposed a creative conceptual design application. Finally, a demonstration example of this application is displayed.
出处 《山东交通学院学报》 CAS 2006年第3期62-66,共5页 Journal of Shandong Jiaotong University
基金 "泰山学者"建设工程专项经费资助 山东省自然科学基金重大项目(Z2004G02) 国家自然科学基金项目(60374054) 山东省中青年科学家奖励基金(03BS003) 山东省教育厅科技计划项目资助课题(J05G01) 香港理工大学合作研究基金(G.YY.34)
关键词 群体智能 微粒群优化 创新概念设计 swarm intelligence particle swarm optimization creative conceptual design.
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参考文献18

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共引文献204

同被引文献11

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