Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems

Chao Li; Q.C. Zhang; Vasile Palade; Hengyang Lu; Jun Sun

doi:10.1016/j.eswa.2024.125496

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Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems

Chao Li Q.C. Zhang Vasile Palade Hengyang Lu Jun Sun

Year: 2024 Journal: Expert Systems with Applications Vol: 261 Pages: 125496-125496 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2024.125496

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Keywords:

Particle swarm optimization Multi-swarm optimization Computer science Metaheuristic Mathematical optimization Surrogate model Quantum Algorithm Mathematics Machine learning Physics Quantum mechanics

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Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Multi-region hierarchical surrogate-assisted quantum-behaved particle swarm optimization for expensive optimization problems

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