摘要:
提出一种新的仿生优化算法——食物车-蟑螂群优化算法。该算法模拟蟑螂的觅食行为,通过食物车在解空间定义域内抛洒食物,吸引蟑螂向食物爬行,完成搜索。在求解过程中通过巢穴变迁、平等搜索和食物筛选等策略加强全局搜索和局部搜索能力,提高算法收敛速度。仿真实验结果表明,该算法寻优率高,收敛速度快。
关键词:
仿生优化算法,
食物车-蟑螂群优化算法,
巢穴变迁,
食物筛选
Abstract:
This paper proposes a new bionics optimization algorithm named Food Truck-Cockroach Swarm Optimization(FT-CSO). Food is thrown by food truck in solution space, and cockroaches crawl to the food and search for optimal solutions. Nest migration, food filtration and equality search are used to enhance global and local search ability of FT-CSO. Simulation experimental result shows that the algorithm has high optimization rate and convergence speed.
Key words:
bionics optimization algorithm,
Food Truck-Cockroach Swarm Optimization(FT-CSO) algorithm,
nest migration,
food filtration
中图分类号:
程乐, 徐义晗, 张洪斌, 钱兆楼, 冯刚. 新的仿生优化算法:食物车-蟑螂群优化算法[J]. 计算机工程, 2010, 36(18): 208-209.
CHENG Le, XU Xi-Han, ZHANG Hong-Bin, JIAN Zhao-Lou, FENG Gang. New Bionics Optimization Algorithm: Food Truck-Cockroach Swarm Optimization Algorithm[J]. Computer Engineering, 2010, 36(18): 208-209.