Employing fuzzy logic and problem specific mutation methods to boost the performance of spectrum optimization via genetic algorithms

Author

Eklund, Neil H. ; Embrechts, Mark J.

Author_Institution

Oak Grove Sci., Clifton Park, NY, USA

fYear

2001

fDate

2001

Firstpage

127

Lastpage

131

Abstract

This paper presents an improved method for determining the optimal filter (with respect to efficiency) to move a lamp from its “natural” position in color space to an arbitrary position in color space. Compared to a fixed parameter GA application employing the “chromosome smoothing operator” the use of fuzzy control of some GA parameters and application specific mutation methods leads to a substantial reduction in the number of function evaluations required, while maintaining the same overall level of solution quality

Keywords

fuzzy logic; genetic algorithms; optical engineering computing; application specific mutation methods; chromosome smoothing operator; color space; function evaluation; fuzzy control; fuzzy logic; genetic algorithms; optimal filter; problem specific mutation methods; spectrum optimization; Electronic mail; Filters; Fuzzy logic; Genetic algorithms; Genetic engineering; Genetic mutations; Light sources; Optimization methods; Optimized production technology; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing in Industrial Applications, 2001. SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on

Conference_Location

Blacksburg, VA

Print_ISBN

0-7803-7154-2

Type

conf

DOI

10.1109/SMCIA.2001.936745

Filename

936745