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作者机构:Kyungpook Natl Univ Sch Elect & Elect Engn Taegu 702701 South Korea
出 版 物:《ELECTRONICS LETTERS》 (电子学快报)
年 卷 期:1999年第35卷第10期
页 面:808-809页
核心收录:
学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
主 题:convergence benchmark testing Optimisation techniques evolutionary computation accumulated evolution information robustness efficiency evolutionary programming
摘 要:In natural evolution, the individuals of species accumulate successive sight variations in their genes and the accumulated evolution information is inherited by their offspring. A new evolutionary programming algorithm adopting this concept is presented. Similar to natural evolution, the algorithm uses the accumulated evolution information inherited from its parent. The information is obtained through many generations of the evolution and speeds up the convergence of the evolutionary programming. The efficiency and robustness of the proposed algorithm has been verified through benchmark testing.