Evolutionary Approaches to Expensive Optimisation
نویسندگان
چکیده
منابع مشابه
Evolutionary Approaches to Expensive Optimisation
Surrogate assisted evolutionary algorithms (EA) are rapidly gaining popularity where applications of EA in complex real world problem domains are concerned. Although EAs are powerful global optimizers, finding optimal solution to complex high dimensional, multimodal problems often require very expensive fitness function evaluations. Needless to say, this could brand any population-based iterati...
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ژورنال
عنوان ژورنال: International Journal of Advanced Research in Artificial Intelligence
سال: 2013
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2013.020308