利用优化人工鱼群算法构建游戏动力系统研究  

Using the optimized artificial fish swarm algorithm to build the game power system

作　　者：邬厚民[1] 余凤翎[2] 

机构地区：[1]广州科技贸易职业学院,广东广州511442 [2]广东技术师范学院工业中心,广东广州510665

出　　处：《微型机与应用》2012年第17期89-91,94,共4页Microcomputer & Its Applications

摘　　要：人工鱼群算法是一种新型仿生优化算法,着重构造自治体寻优模型,其研究应用已经渗透到多个领域。对人工鱼群算法模型进行深入研究,并对其实施优化和扩展用于构建游戏动力系统,为游戏AI运动引擎的设计与实现提供技术与理论参考。The artificial fish swarm algorithm is a new bionic optimization algorithm, which focuses on constructing the optimization model of self-governing body, its research has penetrated into many fields. Artificial fish swarm algorithm model indepth study and implementation of optimization and extensions used to build the game dynamical systems, to provide technical and theoretical reference for the design and implementation of game AI movement engine.

关 键 词：人工鱼群算法 动力系统 人工智能 搜索行为 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]