Clustering-based multipopulation approaches in MOEA/D for many-objective problems

DOI10.1007/S10589-022-00348-0zbMath1487.90599OpenAlexW4205304233MaRDI QIDQ2114832

Carlos A. Brizuela, Benjamín Barán, Christian von Lücken

Publication date: 15 March 2022

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-022-00348-0

zbMATH Keywords

many-objective optimizationmultiobjective evolutionary algorithmsmultipopulation evolutionary algorithmsmultipopulation multiobjective evolutionary algorithm based on decomposition

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• MOEA/D

Cites Work

• A survey on multi-objective evolutionary algorithms for many-objective problems
• The Top Ten Algorithms in Data Mining
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Evolutionary Multi-Criterion Optimization
• Evolutionary Multi-Criterion Optimization
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