基于自适应遗传算法的网络化制造盟员选择研究  

Genetic Algorithm Based on Adaptive Network-based Selection of Manufacturing Federate

作　　者：辛舟[1,2] 王淑华[2] 

机构地区：[1]兰州理工大学数字制造技术与应用省部共建教育部重点实验室 [2]兰州理工大学机电工程学院,兰州730050

出　　处：《科学技术与工程》2009年第17期5168-5171,共4页Science Technology and Engineering

摘　　要：针对网络化制造中动态联盟盟员选择优化问题,分析了盟友的评价指标体系,建立了盟友选择的多目标优化模型,并在此基础上提出一种自适应遗传算法。该算法设计了自适应交叉和变异概率,使其在遗传过程中根据适应度自动选择,从而使群体中每个个体对环境的变化具有自适应调节能力。通过保持迭代过程的最优解,加快了搜索速度,并保证收敛于全局最优解。The manufacture of network-based dynamic the selected optimization problem Federate Alliance, analyed of the allied of the evaluation index system, allies set up a selection of multi-objective optimization model. In this based an adaptive genetic algorithm is obtained. The design of the adaptive algorithm is crossovered mutation probability to the process at the genetic automatic selection based on fitness. So that each individual group is changed on the environment adaptive capacity. Iterative process by maintaining the optimal solution is accelerated the search speed, and ensured convergence to the global optimal solution.

关 键 词：动态联盟 盟员选择 自适应遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]