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Optimization Methods and Software Volume 24, 2009 - Issue 2: THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4–7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
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Original Articles

Clustering aided approach for decision making in computationally expensive multiobjective optimization

Timo Aittokoski Department of Mathematical Information Technology, University of Jyväskylä, FinlandCorrespondence[email protected]
,
Sami Äyrämö Department of Mathematical Information Technology, University of Jyväskylä, Finland
&
Kaisa Miettinen Department of Mathematical Information Technology, University of Jyväskylä, Finland
Pages 157-174 | Received 30 Sep 2007, Published online: 25 Feb 2009

Citations (11)

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T. Aittokoski & K. Miettinen. (2010) Efficient evolutionary approach to approximate the Pareto-optimal set in multiobjective optimization, UPS-EMOA. Optimization Methods and Software 25:6, pages 841-858.
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Articles from other publishers (10)

António Gaspar-Cunha, Francisco Monaco, Janusz Sikora & Alexandre Delbem. (2022) Artificial intelligence in single screw polymer extrusion: Learning from computational data. Engineering Applications of Artificial Intelligence 116, pages 105397.
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Martin Philip Kidd, Richard Lusby & Jesper Larsen. (2020) Equidistant representations: Connecting coverage and uniformity in discrete biobjective optimization. Computers & Operations Research 117, pages 104872.
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Jussi Hakanen, Jose Malmberg, Vesa Ojalehto & Kyle Eyvindson. 2019. Machine Learning, Optimization, and Data Science. Machine Learning, Optimization, and Data Science 104 115 .
Ali Navid, Shahram Khalilarya & Mohammad Abbasi. (2018) Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube sampling methods comparison in DoE process. Fuel 228, pages 349-367.
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B. J. Hancock & C. A. Mattson. (2013) The smart normal constraint method for directly generating a smart Pareto set. Structural and Multidisciplinary Optimization 48:4, pages 763-775.
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Tamara Ulrich. (2013) Pareto-Set Analysis: Biobjective Clustering in Decision and Objective Spaces. Journal of Multi-Criteria Decision Analysis 20:5-6, pages 217-234.
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Braden J. Hancock & Christopher A. Mattson. (2013) The Smart Normal Constraint Method for Directly Generating a Smart Pareto Set. The Smart Normal Constraint Method for Directly Generating a Smart Pareto Set.
Eckart Zitzler. 2012. Handbook of Natural Computing. Handbook of Natural Computing 871 904 .
Varsha Veerappa & Emmanuel Letier. (2011) Understanding clusters of optimal solutions in multi-objective decision problems. Understanding clusters of optimal solutions in multi-objective decision problems.
Lothar ThieleKaisa MiettinenPekka J. KorhonenJulian Molina. (2009) A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization. Evolutionary Computation 17:3, pages 411-436.
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