Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems

DOI10.1016/j.ins.2019.08.054zbMath1456.90161OpenAlexW2970722287MaRDI QIDQ1999087

Yanyan Li

Publication date: 18 March 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.08.054

zbMATH Keywords

global searchdifferential evolutionclassification-collaborationexpensive constrained optimization problemssurrogate-assisted evolutionary algorithms

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (5)

Kriging-assisted teaching-learning-based optimization (KTLBO) to solve computationally expensive constrained problems ⋮ An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems ⋮ An efficient dominant failure modes search strategy and an extended sequential compounding method of system reliability analysis and optimization ⋮ Enhancing artificial bee colony algorithm with multi-elite guidance ⋮ Handling of Constraints in Efficient Global Optimization

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• Evolution strategies. A comprehensive introduction
• A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization
• Restart procedures for the conjugate gradient method
• Evolutionary Algorithms for Solving Multi-Objective Problems

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