Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
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| Acceso en línea: | https://hdl.handle.net/11441/186176 https://doi.org/10.3390/math14101635 |
| Access Level: | acceso abierto |
| Palabra clave: | Goal programming Multiobjective optimization Pareto efficiency Truck–multiple-drone routing |
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Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing ProblemGonzález Rodríguez, Pedro LuisSánchez Wells, DavidLeón Blanco, José MiguelCalle Suárez, MarcosAndrade Pineda, José LuisGoal programmingMultiobjective optimizationPareto efficiencyTruck–multiple-drone routingThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Truck–multiple-drone routing problems involve conflicting operational criteria and are therefore naturally suited to multiobjective analysis. In practical settings, however, decision makers may also specify aspiration levels for the considered criteria, which call for a target-oriented perspective. This paper studies a bi-criterion truck–multiple-drone routing problem through a goal-induced deviation framework in which the original objectives are transformed to normalized positive deviations with respect to prescribed targets. First, a general mathematical framework is introduced, and several structural properties are established, including dominance preservation, invariance under positive weighting, equivalence with the original Pareto structure when all the targets are violated, and the loss of discrimination when the targets are attainable. To address this latter effect, an enhanced goal-programming scalarization is proposed and shown to preserve consistency with the Pareto efficiency. The framework is then specialized to a truck–multiple-drone routing problem with truck time and makespan as criteria and evaluated on representative benchmark instances together with a broader attainable-target benchmark battery, using a common agent-based metaheuristic search framework adapted from literature. This search framework is employed both to estimate a reference Pareto frontier and to solve the GP and EGP scalarizations under the same computational scheme. The computational results illustrate two target regimes: When the targets are unattainable, both formulations are mainly driven by the minimization of positive deviations; when they are attainable, classical goal programming may return satisfactory but dominated solutions, whereas the enhanced formulation preserves discrimination and selects Pareto-efficient alternatives.Multidisciplinary Digital Publishing Institute (MDPI)Organización Industrial y Gestión de Empresas ITEP216: Tecnologías de la Información e Ingeniería de Organización2026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/186176https://doi.org/10.3390/math14101635reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésMathematics, 14 (10), 1635. https://www.mdpi.com/2227-7390/14/10/1635info:eu-repo/semantics/openAccessoai:dnet:idus________::edeb1065e714f09d387a1a58880eecfb2026-06-17T12:51:07Z |
| dc.title.none.fl_str_mv |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| title |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| spellingShingle |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem González Rodríguez, Pedro Luis Goal programming Multiobjective optimization Pareto efficiency Truck–multiple-drone routing |
| title_short |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| title_full |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| title_fullStr |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| title_full_unstemmed |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| title_sort |
Goal-Induced Pareto Fronts for a Bi-Criterion Truck–Multiple-Drone Routing Problem |
| dc.creator.none.fl_str_mv |
González Rodríguez, Pedro Luis Sánchez Wells, David León Blanco, José Miguel Calle Suárez, Marcos Andrade Pineda, José Luis |
| author |
González Rodríguez, Pedro Luis |
| author_facet |
González Rodríguez, Pedro Luis Sánchez Wells, David León Blanco, José Miguel Calle Suárez, Marcos Andrade Pineda, José Luis |
| author_role |
author |
| author2 |
Sánchez Wells, David León Blanco, José Miguel Calle Suárez, Marcos Andrade Pineda, José Luis |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Organización Industrial y Gestión de Empresas I TEP216: Tecnologías de la Información e Ingeniería de Organización |
| dc.subject.none.fl_str_mv |
Goal programming Multiobjective optimization Pareto efficiency Truck–multiple-drone routing |
| topic |
Goal programming Multiobjective optimization Pareto efficiency Truck–multiple-drone routing |
| description |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/11441/186176 https://doi.org/10.3390/math14101635 |
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https://hdl.handle.net/11441/186176 https://doi.org/10.3390/math14101635 |
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Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Mathematics, 14 (10), 1635. https://www.mdpi.com/2227-7390/14/10/1635 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf application/pdf |
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Multidisciplinary Digital Publishing Institute (MDPI) |
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Multidisciplinary Digital Publishing Institute (MDPI) |
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reponame:idUS. Depósito de Investigación de la Universidad de Sevilla instname:Universidad de Sevilla (US) |
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Universidad de Sevilla (US) |
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idUS. Depósito de Investigación de la Universidad de Sevilla |
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