Design and realization of parallel genetic algorithm based on JADE
基于JADE的并行遗传算法的设计与实现

For solving the problems of the traditional genetic algorithms, the excessively long runtime and the somewhat low rate of seeking the optimal results, a parallel genetic algorithm based on the cooperation of multi-agents was presented, with utilization of JADE development platform. Based on simple genetic algorithms, this algorithm implemented the support for client container dynamic joining into the system to run. The experiment results show that the algorithm raises working efficiency of traditonal genetee algorithms and increases success rate to seek the optimal solution.