The simulation experiment verifies the validity of the model and the superiority of the Double-Population Genetic Algorithm to the traditional Single-Population Genetic Algorithm ( SPGA). 仿真实验表明了该模型的有效性,通过比较也体现了双种群遗传算法较之传统单种群遗传算法(SPGA)的优越性。
Finally, in order to verify the feasibility of the model in solving the multi-objective problem, this paper takes a comparison between the results which obtains by the Dual-Population Ant Colony Algorithm and Single-Population Ant Colony Algorithm each. 为了验证该模型在解决多目标问题上的可行性,本文最后通过一个项目实例的应用,将由双种群蚁群算法求得的结果与由单种群蚁群算法求得的结果进行比较。
The detail design of the three key modules& population initialization module, single-population module and multi-population module is given. 给出了算法的三个主要模块&种群初始化模块、单种群模块和多种群模块的详细设计。