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Abstract: Evolutionary algorithms (EAs) have received increasing interests both in the academy and industry. One main difficulty in applying EAs to real-world applications is that EAs usually need a large number of fitness evaluations before a satisfying result can be obtained. However, fitness evaluations are not always straightforward in many real-world applications. Either an explicit fitness function does not exist, or the evaluation of the fitness is computationally very expensive. In both cases, it ... (Update)
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BibTeX entry: (Update)
Y. Jin. A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing Journal, 2003. In press. http://citeseer.ist.psu.edu/jin03comprehensive.html More
@article{ jin03comprehensive,
author = "Y. Jin",
title = "A comprehensive survey of fitness approximation in evolutionary computation",
journal = "Soft Computing Journal",
year = "2003",
url = "citeseer.ist.psu.edu/jin03comprehensive.html" }
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