멀티모달 함수의 최적화를 위한 멘델 연산 유전자 알고리즘A Genetic Algorithm withe a Mendel Operator for Multimodal Function Optimization

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 265
  • Download : 0
In this paper, a new genetic algorithm is proposed for solving multimodal function optimization problems that are not easily solved by conventional genetic algorithm(GA)s. This algorithm finds one of local optima first and another optima at the next iteration. By repeating this process, we can locate all the local solutions instead of one local solution as in conventional GAs. To avoid converging to the same optimum again, we devise a new genetic operator, called a Mendel operator which simulates the Mendel`s genetic law. The proposed algorithm remembers the optima obtained so far, compels individuals to move away from them, and finds a new optimum.
Publisher
제어·로봇·시스템학회
Issue Date
2000-12
Language
Korean
Citation

제어.로봇.시스템학회 논문지, v.6, pp.1061 - 1069

ISSN
1225-9853
URI
http://hdl.handle.net/10203/76231
Appears in Collection
AE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0