摘要
将聚集策略引入粒子群模型,通过与高级行为自组织模型对比,对群体的聚集行为进行仿真;引入群体自组织避敌模型,模拟鱼群的逃避行为;分析有领导者的集群动态行为预测机制,并引入A/R模型,考虑领导者和次要领导者,并用次要领导者对领导者的预测表示群体中的信息传递机制.通过仿真,结果表明:该仿生模型有利于分析鱼群的习性,为保护鱼群、分析物种进化以及人工养殖等方面提供了非常好的依据.
The aggregation strategy is introduced to the particle swarm optimization (PSO) model to simulate the aggregation behavior of a group by comparing it with the advanced self-organizing behavior model; the self-organizing avoidance model is also introduced to simulate the evasive behavior of a fish swarm; the predictive mechanism of the dynamic behavior of a group with leaders is analyzed, and the A/R model is introduced to consider the leaders and the minors. The latter uses his prediction of the former to express the information-transmission mechanism in the group.
作者
吴万勤
陈娇
谭昊
聂俊宇
梁志茂
WU Wan-qin;CHEN Jiao;TAN Hao-nie;Jun Yu;LIANG Zhi-mao(CPC Organization Department,Yunnan Minzu University,Kunming 650091,China;School of Mathematics and computer science,Yunnan Minzu University,Kunming 650091,China)
出处
《云南民族大学学报(自然科学版)》
CAS
2018年第6期500-504,共5页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
国家自然科学基金(61365007)
云南省教育厅科学研究基金项目(2018JS309)
关键词
粒子群(PSO)模型
自组织模型
行为预测机制
A/R模型
particle swarm optimization (PSO) model
self-organizing model
behavior prediction mechanism
A/R model.