To improve the global convergence and optimization efficiency for solving high-dimensional expensive black-box optimization problems, a radial basis function- ...
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Jan 9, 2021 · In this paper, we propose to train multiple surrogate models to assist many-objective optimization algorithm for solving expensive many-objective problems.
Mar 15, 2022 · This paper proposes a composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization.
Apr 16, 2021 · This article proposes a Kriging-assisted two-archive EA for expensive many-objective optimization. The proposed algorithm uses one influential point- ...
Apr 1, 2022 · Nowadays, there are many practical engineer problems that can be modeled as noisy and expensive multi-objective optimization problems (MOPs), ...
A Kriging-assisted many-objective optimization algorithm guided by two infill sampling criteria to self-adaptively select two new solutions for expensive ...
Jun 10, 2019 · In this work, we propose a surrogate-assisted approach by model fusion for solving expensive many-objective optimization problems, in which the ...
Many-objective optimization problems (MaOPs) contain four or more conflicting objectives to be optimized. A number of efficient decomposition-based ...
Oct 17, 2023 · This paper formulates a building energy management scenario as a 10-objective optimization problem, aiming to find optimal configurations of power supply ...
Apr 21, 2021 · Various works have been proposed to solve expensive multiobjective optimization problems (EMOPs) using surrogate-assisted evolutionary ...