In this paper, we examine the effects of noise on both local search and genetic search. Understanding the potential effects of noise on a search space may explain why some search techniques fail and why others succeed in the presence of noise. We discuss two effects that are the result of adding noise to a search space: the annealing of peaks in the search space and the introduction of false local optima.
CITATION STYLE
Rana, S., Darrell Whitley, L., & Cogswell, R. (1996). Searching in the presence of noise. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1141, pp. 198–207). Springer Verlag. https://doi.org/10.1007/3-540-61723-X_984
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