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A deep learning based interactive method for surrogate multi objective evolutionary algorithms

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In the real world, especially in the field of engineering, multi-objective evolutionary algorithms (MOEAs) has been effective solvers for optimization problems. Because, MOEAs work on the concepts of evolutionary process of the population, so it can work on difficult, expensive problems with set of feasible solutions. | A deep learning based interactive method for surrogate multi objective evolutionary algorithms

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