tailieunhanh - Surrogate models for multi objective evolutionary algorithms, a survey and current research trends

Multi-objective problems (MOPs), a class of optimization problems in the real-word, which has multiple conflicting objectives. Multi-objective evolutionary algorithms (MOEAs) are known as great potential algorithms to solve difficult MOPs. With MOEAs, based on principle of population, we have a set of optimal solutions (feasible solution set) after the search. | Surrogate models for multi objective evolutionary algorithms, a survey and current research trends

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