Improved new particle swarm algorithm solving job shop scheduling optimization problem

Particle swarm algorithm has a large number of applications, using particle swarm algorithm efficiency is much higher than other algorithm on the shop scheduling, compared with other algorithms, particle swarm algorithm is simple, and easy to implement, without gradient information, the global search ability is strong, less parameters etc in the continuous optimization and discrete optimization problems are showed good effect, because it is real number encoding rules applies to the solution of the optimization problem. But in the later stages of the algorithm, its speed is slow, aiming at this shortcoming, this paper has carried on the improvement to the algorithm, the improved algorithm in convergence and speed have been greatly improved.