OPTIMIZATION BASED ON LMPROVED REAL—CODED GENETIC ALGORITHM  

作　　者：ShiYu YuShenglin 

机构地区：CollegeofAutomationEngineering,NUAA29YudaoStreet,Nanjing210016,P.R.China

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2002年第1期53-58,共6页南京航空航天大学学报（英文版）

摘　　要：An improved real-coded genetic algorithm is pro-posed for global optimization of functionsl.The new algo-rithm is based om the judgement of the searching perfor-mance of basic real-coded genetic algorithm.The opera-tions of basic real-coded genetic algorithm are briefly dis-cussed and selected.A kind of chaos sequence is described in detail and added in the new algorithm ad a disturbance factor.The strategy of field partition is also used to im-prove the strcture of the new algorithm.Numerical ex-periment shows that the mew genetic algorithm can find the global optimum of complex funtions with satistaiting precision.

关 键 词：global OPTIMIZATION chaos CROSSOVER muta-tion GENETIC algorithm 实数遗传算法 混沌序列 函数优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]