DocumentCode
1523389
Title
Evolutionary programming with accumulated evolution information
Author
Choi, Doo-Hyun
Author_Institution
Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
Volume
35
Issue
10
fYear
1999
fDate
5/13/1999 12:00:00 AM
Firstpage
808
Lastpage
809
Abstract
In natural evolution, the individuals of species accumulate successive slight 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 have been verified through benchmark testing
Keywords
convergence; evolutionary computation; accumulated evolution information; benchmark testing; convergence; efficiency; evolutionary programming; robustness;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990586
Filename
771432
Link To Document