A novel adaptive particle swarm optimization algorithm with foraging behavior for reliability redundancy allocation problem

摘要

Aiming at the problem of reliability redundancy design algorithm, this paper presents an adaptive particle swarm optimization algorithm with foraging behavior. In this method, the bacterial foraging process is introduced into the adaptive particle swarm optimization algorithm, which can give the function of particle movement and turning, improve the ability of local search and avoid premature behavior. Using the classical test function and the reliability redundancy allocation problem of avionics system, the results show that the improved algorithm has better reliability, higher precision and faster convergence speed.