Efficient evolutionary approach to approximate the Pareto-optimal set in multiobjective optimization, UPS-EMOA

DOI10.1080/10556780903548265zbMath1198.90342OpenAlexW2001839237WikidataQ109314849 ScholiaQ109314849MaRDI QIDQ3161146

Timo Aittokoski, Kaisa M. Miettinen

Publication date: 12 October 2010

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556780903548265

zbMATH Keywords

Pareto-optimalitymulticriteria optimizationEMOpopulation-based approachesnon-dominanceefficient Pareto-optimal set approximation

Mathematics Subject Classification ID

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

Related Items (3)

A \(k\), \(k-\epsilon\) optimality selection based multi objective genetic algorithm with applications to vehicle engineering ⋮ Interactive \textsc{Nonconvex Pareto Navigator} for multiobjective optimization ⋮ Multi-Objective Actuator Placement Optimization for Local Sound Control Evaluated in a Stochastic Domain

Uses Software

• SPEA2

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