A parallel immune genetic algorithm Based on simulated annealing

On the base of analyzing genetic algorithm\´s advantages and disadvantages and in terms of the biological immunity concept, we proposed one new algorithm-A parallel immune genetic algorithm based on simulated annealing. The immunity algorithm uses the way of vaccination vaccine and uses the question\´s prior knowledge, to speed up the algorithm convergence rate effectively. At the same time, to prevent "precociously" phenomenon occurrence, it has used the simulation annealing operator, so it can guarantee the optimization process toward the direction of global optimum and use the mind of parallel computing to make the potential parallelism of genetic algorithm be fully reflected. The theoretical analysis and the simulation results indicated that this algorithm can raise the convergence rate and the stability effectively.