A multi-objective optimization algorithm based on dynamic user-preference information

DOI10.1007/s00607-021-00995-xzbMath1494.90110OpenAlexW3194426416MaRDI QIDQ2132063

Hong Yu, Yongfang Xie, Zhao Fu, Jie Li, Guo-Yin Wang

Publication date: 27 April 2022

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-021-00995-x

zbMATH Keywords

multi-objective optimizationPareto optimalitydynamic preference information

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Decision theory (91B06) Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• NIMBUS
• NBI
• MOEA/D

Cites Work

• g-dominance: Reference point based dominance for multiobjective metaheuristics
• Weighted sum model with partial preference information: application to multi-objective optimization
• Trade-off analysis approach for interactive nonlinear multiobjective optimization
• Synchronous approach in interactive multiobjective optimization
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems