摘要： 模糊模拟通常用于模糊规划中。该文提出了基于粒子群优化算法（PSO）的模糊模拟方法，通过这一方法，可以用来计算可能值以及临界值。PSO是一种演化算法，它能够有效地进行全局搜索。试验表明，基于PSO的模糊模拟有更好的性能。
关键词:
模糊模拟,
粒子群优化算法（PSO）,
不确定规划,
演化计算
Abstract: Fuzzy simulation is often required in fuzzy programming. This paper proposes the application of particle swarm optimization algorithm (PSO) to compute possibility and find critical values. PSO is a kind of evolutionary algorithm, which is especially powerful and reliable in global search. Experiments show that PSO based fuzzy simulation has a better performance.
Key words:
Fuzzy simulation,
Particle swarm optimization(PSO),
Uncertain programming,
Evolutionary computation
中图分类号:
张千里;李 星. 基于粒子群优化算法的模糊模拟[J]. 计算机工程, 2006, 32(21): 33-34.
ZHANG Qianli; LI Xing. Fuzzy Simulation Based on Particle Swarm Optimization Algorithm[J]. Computer Engineering, 2006, 32(21): 33-34.