Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem

In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary Intersection (NBI). A first approximation of th...

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Main Author: Daniele Peri
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/8/9/699
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author Daniele Peri
author_facet Daniele Peri
author_sort Daniele Peri
collection DOAJ
description In this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary Intersection (NBI). A first approximation of the Pareto front is obtained by a regular sampling of the design space, and then the Pareto front is improved and enriched using the other two above mentioned techniques. A detailed Pareto front is obtained for an optimization problem where algebraic objective functions are applied, also in comparison with standard techniques. Encouraging results are also obtained for two different ship design problems. The use of the algebraic functions allows for a comparison with the real Pareto front, correctly detected. The variety of the ship design problems allows for a generalization of the applicability of the methodology.
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spelling doaj.art-f27353a9efaa41708e0af9c18b82045f2023-11-20T13:07:01ZengMDPI AGJournal of Marine Science and Engineering2077-13122020-09-018969910.3390/jmse8090699Direct Tracking of the Pareto Front of a Multi-Objective Optimization ProblemDaniele Peri0Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche (IAC-CNR), 00185 Roma, ItalyIn this paper, some methodologies aimed at the identification of the Pareto front of a multi-objective optimization problem are presented and applied. Three different approaches are presented: local sampling, Pareto front resampling and Normal Boundary Intersection (NBI). A first approximation of the Pareto front is obtained by a regular sampling of the design space, and then the Pareto front is improved and enriched using the other two above mentioned techniques. A detailed Pareto front is obtained for an optimization problem where algebraic objective functions are applied, also in comparison with standard techniques. Encouraging results are also obtained for two different ship design problems. The use of the algebraic functions allows for a comparison with the real Pareto front, correctly detected. The variety of the ship design problems allows for a generalization of the applicability of the methodology.https://www.mdpi.com/2077-1312/8/9/699multi-objective optimizationpareto frontnormal boundary intersectionship design optimization
spellingShingle Daniele Peri
Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
Journal of Marine Science and Engineering
multi-objective optimization
pareto front
normal boundary intersection
ship design optimization
title Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
title_full Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
title_fullStr Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
title_full_unstemmed Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
title_short Direct Tracking of the Pareto Front of a Multi-Objective Optimization Problem
title_sort direct tracking of the pareto front of a multi objective optimization problem
topic multi-objective optimization
pareto front
normal boundary intersection
ship design optimization
url https://www.mdpi.com/2077-1312/8/9/699
work_keys_str_mv AT danieleperi directtrackingoftheparetofrontofamultiobjectiveoptimizationproblem