A Fuzzy Adaptive Programming Method of Particle Swarm Optimization
Qi Kang, Lei Wang, Qidi Wu · 2005
This paper introduces a novel multi-optimum programming mode for the particle swarm optimization algorithm. Initially, to efficiently control the relationship between multi-optimum information and convergence to the global optimum solution, fuzzy logic is introduced into the process of multi-optimum distribution state dynamic programming. Then, the fuzzy adaptive programming method based on single-variable and two-dimension-input fuzzy control structure for optimum and sub-optimum distribution information is implemented and simulated with different function optimization problems.