Loading [MathJax]/extensions/TeX/ieeemacros.js
Applying evolutionary algorithms to problems with noisy, time-consuming fitness functions | IEEE Conference Publication | IEEE Xplore

Applying evolutionary algorithms to problems with noisy, time-consuming fitness functions

Publisher: IEEE

Abstract:

For many "real world" applications of evolutionary computation, the fitness function is obscured by random noise. This interferes with the evaluation and selection proces...View more

Abstract:

For many "real world" applications of evolutionary computation, the fitness function is obscured by random noise. This interferes with the evaluation and selection process and adversely affects the performance of the algorithm. We present a study of noise compensation techniques designed to better counteract the negative effects of noise. We introduce algorithms that vary the number of samples used per candidate based on the amount of noise present at that point in the search space. Results show that these algorithms are significantly better than the traditional technique used by the optimisation community and that noise compensation is indeed a difficult task that warrants further investigation.
Date of Conference: 19-23 June 2004
Date Added to IEEE Xplore: 03 September 2004
Print ISBN:0-7803-8515-2
Publisher: IEEE
Conference Location: Portland, OR, USA

References

References is not available for this document.