中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Realization of rational genetic algorithm

文献类型:会议论文

作者Jing XJ(景兴建); Wang YC(王越超)
出版日期2005
会议名称9th IASTED International Conference on Artificial Intelligence and Soft Computing
会议日期September 12-14, 2005
会议地点Benidorm, SPAIN
关键词genetic algorithm genetic information convergence rational genetic algorithm
页码11-16
中文摘要By using the feedback of genetic information and heuristic rules, and incorporating local searching algorithms, rational genetic algorithm (RGA) is proposed to overcome the drawbacks of conventional genetic algorithms (GAs) such as slow convergence. Genetic Information was defined, which is the feed-back information derived from evolutionary process to supervise GA's operations. Furthermore, heuristic rules and local searching algorithms were also effectively incorporated in RGA to enhance the correctness of genetic operations. Finally, a general specification for the whole RGA was provided. RGA effectively incorporates inheriting and learning behaviors of knowledge and experiences in species into conventional GA. From the theoretical analysis of RGA and case studies in practical application to path planning problems of robots, it can be seen that the proposed RGA has faster convergence speed, and can converge to the global optimal solution.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Int Assoc Sci & Technol Dev, TC Artificial Intelligence & Expert Syst, IASTED, TC Soft Comp
会议录Proceedings of the Ninth IASTED International Conference on Artificial Intelligence and Soft Computing
会议录出版者ACTA PRESS
会议录出版地CALGARY
语种英语
ISBN号0-88986-536-1
WOS记录号WOS:000233165700003
源URL[http://ir.sia.cn/handle/173321/8840]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Jing XJ,Wang YC. Realization of rational genetic algorithm[C]. 见:9th IASTED International Conference on Artificial Intelligence and Soft Computing. Benidorm, SPAIN. September 12-14, 2005.

入库方式: OAI收割

来源:沈阳自动化研究所

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