The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems

Problems where several incommensurable objectives have to be optimized concurrently arise in many engineering and financial applications. Continuation methods for the treatment of such multi-objective optimization methods (MOPs) are very efficient if all objectives are continuous since in that case...

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Main Authors: Fernanda Beltrán, Oliver Cuate, Oliver Schütze
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/25/4/80
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author Fernanda Beltrán
Oliver Cuate
Oliver Schütze
author_facet Fernanda Beltrán
Oliver Cuate
Oliver Schütze
author_sort Fernanda Beltrán
collection DOAJ
description Problems where several incommensurable objectives have to be optimized concurrently arise in many engineering and financial applications. Continuation methods for the treatment of such multi-objective optimization methods (MOPs) are very efficient if all objectives are continuous since in that case one can expect that the solution set forms at least locally a manifold. Recently, the Pareto Tracer (PT) has been proposed, which is such a multi-objective continuation method. While the method works reliably for MOPs with box and equality constraints, no strategy has been proposed yet to adequately treat general inequalities, which we address in this work. We formulate the extension of the PT and present numerical results on some selected benchmark problems. The results indicate that the new method can indeed handle general MOPs, which greatly enhances its applicability.
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spelling doaj.art-cf99f3cbcdc54d6ebd7d786f71d8cd4b2023-11-21T01:46:07ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472020-12-012548010.3390/mca25040080The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization ProblemsFernanda Beltrán0Oliver Cuate1Oliver Schütze2Computer Science Department, Cinvestav-IPN, 07360 Mexico City, MexicoComputer Science Department, Cinvestav-IPN, 07360 Mexico City, MexicoComputer Science Department, Cinvestav-IPN, 07360 Mexico City, MexicoProblems where several incommensurable objectives have to be optimized concurrently arise in many engineering and financial applications. Continuation methods for the treatment of such multi-objective optimization methods (MOPs) are very efficient if all objectives are continuous since in that case one can expect that the solution set forms at least locally a manifold. Recently, the Pareto Tracer (PT) has been proposed, which is such a multi-objective continuation method. While the method works reliably for MOPs with box and equality constraints, no strategy has been proposed yet to adequately treat general inequalities, which we address in this work. We formulate the extension of the PT and present numerical results on some selected benchmark problems. The results indicate that the new method can indeed handle general MOPs, which greatly enhances its applicability.https://www.mdpi.com/2297-8747/25/4/80multi-objective optimizationPareto Tracercontinuationconstraint handling
spellingShingle Fernanda Beltrán
Oliver Cuate
Oliver Schütze
The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems
Mathematical and Computational Applications
multi-objective optimization
Pareto Tracer
continuation
constraint handling
title The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems
title_full The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems
title_fullStr The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems
title_full_unstemmed The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems
title_short The Pareto Tracer for General Inequality Constrained Multi-Objective Optimization Problems
title_sort pareto tracer for general inequality constrained multi objective optimization problems
topic multi-objective optimization
Pareto Tracer
continuation
constraint handling
url https://www.mdpi.com/2297-8747/25/4/80
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