Title :
Evolutionary programming with accumulated evolution information
Author_Institution :
Sch. of Electron. & Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
fDate :
5/13/1999 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19990586