组合优化问题的人工鱼群算法应用  

Application of artificial fish swarm algorithm in combinatorial optimization problems

作　　者：薛亚娣[1] 

机构地区：[1]兰州文理学院数字媒体学院,甘肃兰州730000

出　　处：《中国建材科技》2016年第4期79-81,共3页China Building Materials Science & Technology

摘　　要：优化组合问题在现实生活中应用普遍,而且工程代表性强,可是想要实现最优化求解不容易,当今组合优化求解的主要方式采用启发式算法。人工鱼群算法是新型的群智能优化的算法,它的原理简单易懂,收敛速度快捷,求解精度颇高。最近几年得到了重视和广泛应用。The optimization of combinatorial problems in real life applications,and engineering is strong,but it is not easy to achieve the optimal solution,the main way to solve the problem of combination of the heuristic algorithm.Artificial fish swarm algorithm is a new swarm intelligence optimization algorithm,its principle is simple and easy to understand, convergence speed is fast and the accuracy is high.In recent years,it has been widely used.

关 键 词：组合优化问题 人工鱼群算法 旅行商问题 车间作业调度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]