The Self-adaptive Cultural Algorithm Optimization Based On the Fuzzy Controller

Author

Feng, Wang ; Zhang, Xue-ying

Author_Institution

Dept. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

328

Lastpage

332

Abstract

Cultural algorithm (CA) is an evolutionary model inspired by the cultural evolution process which shows many excellent characteristics and succeeded in solving some complicated problems. In this paper, a self-adaptive CA is proposed based fuzzy controller, The new algorithm adjusting parameter beta using fuzzy controller, changing the member of individuals in evolution process, making the CA optimized. The simulation results illustrate that the self-adaptive CA based fuzzy controller is better than CA.

Keywords

adaptive control; evolutionary computation; fuzzy control; self-adjusting systems; cultural algorithm; cultural evolution process; evolution process; evolutionary model; fuzzy controller; parameter adjustment; self-adaptive cultural algorithm optimization; Computational modeling; Cultural differences; Evolutionary computation; Feedback; Fuzzy control; Genetic programming; Humans; Optimization methods; Problem-solving; Protocols; Belief Space; Cultural Algorithm; Population Space; fuzzy controller; self-adaptive;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3530-2

Electronic_ISBN

978-1-4244-3531-9

Type

conf

DOI

10.1109/KAMW.2008.4810490

Filename

4810490