Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates
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DOI: 10.1109/tcyb.2018.2811761
Abstract: This paper proposes a Gaussian process (GP) based co-sub-Pareto front surrogate augmentation strategy for evolutionary optimization of computationally expensive multiobjective problems. In the proposed algorithm, a multiobjective problem is decomposed into a number of subproblems,… read more here.
Keywords: pareto; expensive multiobjective; evolutionary optimization; sub pareto ... See more keywords