Framework Description Of Population Migration Algorithm And Its Application

Population Migration Algorithm is a new swarm intelligent algorithm proposed recently. Though many numerical experiments illustrated its effectiveness and correctness, its theories and algorithms is still not consummate. People need propose new theories and methods to improve it. As research content, this paper will describe the theoretical framework of population migration algorithm and its application. First this paper describes the PMA based on a given framework of swarm intelligence, it helps to understand the principles of the PMA, as well as combination with chaos theory, a Chaos Population Migration Algorithm is proposed, a numerical experiment example indicates that the new algorithm is effective and accuracy, then with the partial order to replace the fitness function ,and use a example to analysis the algorithm ,else the partial order can make sure of the convergence of the algorithm; Last, this paper try to use algorithm for the weight optimization of RBF neural networks and a model based on this method were presented here, compared with the traditional RBF algorithm, the simulation study indicates that this new method is of high convergence precision and convergence precision.