Genetic Evolution of Control Systems

摘要：

　　In this paper, we present to utilize Genetic Algorithms (GAs) as tools to model control processes.Two different crossover operators are combined during evolution to maintain population diversity and to sustain local improvement in the search space.In this manner, a balance between global exploration and local exploitation is reserved during genetic search.To verify the efficiency of the proposed method, the desired control sequences of a given system are solved by the optimal control theory as well as GA with hybrid crossovers to compare their performances.The experimental results showed that the control sequences obtained from the proposed GA with hybrid crossovers are quite consistent with the results of the optimal control.

关键词： Genetic Algorithms Hybrid Crossovers Exploration and Exploitation

作者: Mu-Song Chen Tze-Yee Ho Chi-Pan Hwang

作者单位: Da-Yeh University Feng Chia University National Changhua University of Education

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 284-292

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）