Multiple Objective Evolutionary Algorithms for Independent, Computationally Expensive Objective Evaluations
نویسندگان
چکیده
منابع مشابه
A Study on Evolutionary Multi-Objective Optimization with Fuzzy Approximation for Computational Expensive Problems
Recent progress in the development of Evolutionary Algorithms made them one of the most powerful and flexible optimization tools for dealing with Multi-Objective Optimization problems. Nowadays one challenge in applying MOEAs to real-world applications is that they usually need a large number of fitness evaluations before a satisfying result can be obtained. Several methods have been presented ...
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