Title :
Individual aging in genetic algorithms
Author :
Ghosh, Ashish ; Tsutsui, Shigeyoshi ; Tanaka, Hideo
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
A concept of age of individuals for measuring their suitability for participation in genetic operations for steady state GAs is introduced. Effective fitness of an individual depends both on its functional value and age. Age of a newly generated individual is taken as zero and every iteration is increased by one. As in nature, adult individuals are considered more fit for genetic operations, compared to young and old ones. The model aims to emulate the natural genetic system in a more natural way. The effectiveness of this concept is demonstrated by solving complex function optimization problems. Results show that the scheme provides enhanced performance and maintains more diversity in the population thereby allowing the species to be robust to trace the changing environment
Keywords :
genetic algorithms; genetics; problem solving; adult individuals; changing environment; function optimization problem solving; functional value; genetic algorithms; genetic operations; individual aging; individual fitness; natural genetic system; performance; population; steady state GA; Aging; Educational institutions; Engineering management; Genetic algorithms; Genetic engineering; Industrial engineering; Information management; Information science; Particle measurements; Steady-state;
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
DOI :
10.1109/ANZIIS.1996.573957
