A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems

Qinghua Gu; Qian Wang; Xuexian Li; Xinhong Li

doi:10.1016/j.knosys.2021.107049

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A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems

Qinghua Gu Qian Wang Xuexian Li Xinhong Li

Year: 2021 Journal: Knowledge-Based Systems Vol: 223 Pages: 107049-107049 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2021.107049

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Keywords:

Mathematical optimization Knapsack problem Multi-swarm optimization Particle swarm optimization Metaheuristic Benchmark (surveying) Computer science Continuous optimization Optimization problem Meta-optimization Combinatorial optimization Derivative-free optimization Imperialist competitive algorithm Stochastic optimization Multi-objective optimization Mathematics

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Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems

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