Particle swarm optimization research based on bacterial foraging algorithm

Partical Swarm Optimization (PSO) is a algorithm for solving optimization problems. To avoid fall into the local minimum in the standard PSO algorithm, based on the operator of chemotaxis in the bacterial forapng algorithm, a new algorithm has been proposed in this study. The algorithm made use of the advantage that the bacterial foraging algorithm was easy to search for the optimal value in repon. Tests show that the new algorithm can compensate for the defects of low precision and falling into local minimum. The new algorithm is a global optimization algorithm for solving the optimization of complex functions. © 2015 Academic Journals Inc.