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
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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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