基于遗传算法的人群行为模拟研究  

Crowd Behavior Simulation Research Based on Genetic Algorithm

作　　者：周俊祥[1] 陈红梅[1] 

机构地区：[1]商丘师范学院计算机科学系,河南商丘476000

出　　处：《计算机与现代化》2010年第2期73-76,共4页Computer and Modernization

摘　　要：人群行为模拟问题是一个多约束的、多目标的组合优化问题,本文针对公共场所人群密度大的特点,分析人群行为的特点,采用具有智能性和并行性的遗传算法的基本理论,研究如何解决人群行为模拟问题。该算法实现了对人群行为进行合理、有序的安排。并且通过实验验证了遗传算法求解行为,模拟问题操作简单,并且能得到全局最优性,能够较好地处理人群行为模拟问题。The simulation problem of crowd behavior is a multiple constraint, multiple objective combination optimization problems, this paper aimes at the characteristics of population density in public places, analyzes the characteristics of crowd behaviors, adoptes intelligence and parallelism of genetic algorithm＇ s basic theory., researches how to solve the problem of crowd behavior simulation. The genetic algorithm realizes rational and orderly arrangement of crows behaviors. And by experimental verifies that the behavior simulation problems in genetic algorithm to solve is simple, and can get global optimality, and can better to deal with the issue of crowd behavior simulation.

关 键 词：行为模拟 遗传算法 编码 适应度函数 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]