遗传算法在多修正因子寻优中的应用  

Application of Genetic Algorithms in the Optimization of Multi-Correction

作　　者：邱宜贵[1] 张灵[1] 曾碧[1] 

机构地区：[1]广东工业大学智能研究所,广东广州510090

出　　处：《计算机工程与科学》2009年第5期116-117,128,共3页Computer Engineering & Science

基　　金：广东省自然科学基金资助项目(5300108)

摘　　要：模糊控制系统中的多修正因子校正法是一种方便、有效的控制规则优化方法,其修正因子的选取是一个寻优问题。常见的寻优方法有局部搜索法、模拟退火法和遗传算法。本文基于基本遗传算法,在目标函数的制定方面作了相应改进,并将其应用于上述修正因子的寻优。实验结果表明,该算法能有效求得多修正因子的优化解。In fuzzy control systems, the multi-correction factor method is one of the convenient and effective control rule optimization methods. The selection of the multi-correction factor is an optimization problem. There are some familiar optimization methods., the partial search algorithm, the simulated annealing algorithm and the genetic algorithm. This article adopts the genetic algorithm and makes some improvement in the design of the objective function. Experiments prove the algorithm is effective in finding the optimal solution of multi-correction.

关 键 词：遗传算法 模糊控制 寻优 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]