The study of Swarm Intelligence began with the Ant Colony Algorithm.
群体智能的研究始于蚁群算法。
参考来源 - 改进蚁群算法及其在结构系统可靠性优化中的应用Particle swarm optimization (PSO) is an optimization algorithm based on swarm intelligence developed by Kennedy and Eberhart in 1995.
粒子群优化算法(PSO)是一种基于群智能的优化方法,由Kennedy和Eberhart于1995年提出。
参考来源 - 粒子群优化算法的理论分析与应用研究Algorithm based swarm intelligence have gained considerable amount of attention in recent years.
基于群集智能的算法研究,近年来受到了广泛的关注。
参考来源 - 群集智能算法研究现状及进展—《电脑知识与技术》—2007年第26期—龙源期刊网Particle Swarm Optimization(PSO)algorithm is one of embranchments of swarm intelligence. In the middle of 1990th.
粒子群优化算法是群体智能中一个新的分支。
参考来源 - PSO算法在电力系统无功优化中的应用The Neighbourhood Topology Particle Swarm Optimization with evolutionary calculation and swarm intelligence is proposed used in the C-LIM optimal design by mechanism movement form and design demand.
根据C-LIM机构动作形式及C-LIM机构设计要求,提出把兼有进化计算和群智能的全局优化算法—邻域拓扑粒子群优化算法引入到电机优化设计中,实现了C-LIM的优化设计。
参考来源 - 高压断路器圆筒型直线感应电机操动机构研究·2,447,543篇论文数据,部分数据来源于NoteExpress
以上来源于: WordNet
N the collective behaviour of a group of animals, esp social insects such as ants, bees, and termites, that are each following very basic rules 群体智能
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