By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Eklund, N.H. ; Oak Grove Sci., Clifton Park, NY, USA ; Embrechts, M.J.

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

Published in:

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

Date of Conference:

2001