Clustering aided approach for decision making in computationally expensive multiobjective optimization

DOI10.1080/10556780802525331zbMath1185.90180OpenAlexW2090019203WikidataQ109314885 ScholiaQ109314885MaRDI QIDQ3620909

Timo Aittokoski, Sami Äyrämö, Kaisa M. Miettinen

Publication date: 14 April 2009

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

Full work available at URL: https://doi.org/10.1080/10556780802525331

zbMATH Keywords

Pareto optimalitymulticriteria optimizationmultiple objective optimizationefficient methodslearning-oriented methods

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (1)

Equidistant representations: connecting coverage and uniformity in discrete biobjective optimization

Uses Software

• Silhouettes
• SPEA2

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