Fuzzy Adaptive Programming Algorithm Based on Particle Swarm Multi-optimum Information

Fuzzy adaptive programming algorithm based on particle swarm multi-optimum is proposed on the basis of the static particle swarm multi-optimum information programming mode. Fuzzy logic is introduced into the process of multi-optimum distribution state dynamic programming, so that the proportion factor of multi-optimum programming can be dynamically adjusted in the optimization process, and therefore its performance can be improved greatly. A kind of particle swarm adaptive programming algorithm based on single-variable and two-dimension-input fuzzy control structure of optimum and sub-optimum distribution information is put forward and simulated.