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

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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

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

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