Individual-dependent feasibility rule for constrained differential evolution

DOI10.1016/J.INS.2019.07.076zbMath1456.90160OpenAlexW2965818363MaRDI QIDQ2656774

Han-Xiong Li, Yun Feng, Bing-Chuan Wang

Publication date: 16 March 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2019.07.076

zbMATH Keywords

feasibility ruleconstrained evolutionary optimizationdiversity strategyindividual-dependent

Mathematics Subject Classification ID

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

Related Items (3)

An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems ⋮ Evolutionary continuous constrained optimization using random direction repair ⋮ An adaptive fuzzy penalty method for constrained evolutionary optimization

Uses Software

• KEEL

Cites Work

• Unnamed Item
• Unnamed Item
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• An efficient constraint handling method for genetic algorithms
• Differential evolution with adaptive trial vector generation strategy and cluster-replacement-based feasibility rule for constrained optimization

This page was built for publication: Individual-dependent feasibility rule for constrained differential evolution