Reformulating preferences into constraints for evolutionary multi- and many-objective optimization

DOI10.1016/J.INS.2020.05.103zbMath1475.90090OpenAlexW3038059291MaRDI QIDQ2053817

Yanyan Li

Publication date: 30 November 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.05.103

zbMATH Keywords

multiobjective optimizationmany-objective optimizationpreference articulationconstraint handling

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (2)

A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints ⋮ Many-objective evolutionary algorithm with adaptive reference vector

Uses Software

• MOEA/D
• PlatEMO

Cites Work

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• g-dominance: Reference point based dominance for multiobjective metaheuristics
• An efficient constraint handling method for genetic algorithms
• A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation
• Infeasibility and structural bias in differential evolution

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