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Listar por palabra clave "Combinatorial optimization"

Mostrando ítems 1-12 de 12

A Learnheuristic Algorithm Based on Thompson Sampling for the Heterogeneous and Dynamic Team Orienteering Problem

Uguina, Antonio R.; Gomez, Juan F; Panadero, Javier; Martínez-Gavara, Anna; Juan, Angel A. (MDPI AG, 2024-06)

[EN] The team orienteering problem (TOP) is a well-studied optimization challenge in the field of Operations Research, where multiple vehicles aim to maximize the total collected rewards within a given time limit by visiting ...
A new genetic algorithm for the asymmetric traveling salesman problem

Yuichi Nagata; Soler Fernández, David (Elsevier, 2012-08)

The asymmetric traveling salesman problem (ATSP) is one of the most important combinatorial optimization problems. It allows us to solve, either directly or through a transformation, many real-world problems. We present ...
An Analysis of a KNN Perturbation Operator: An Application to the Binarization of Continuous Metaheuristics

García, José; Astorga, Gino; Yepes, V. (MDPI AG, 2021-02)

[EN] The optimization methods and, in particular, metaheuristics must be constantly improved to reduce execution times, improve the results, and thus be able to address broader instances. In particular, addressing combinatorial ...
Aplicación de técnicas metaheurísticas para la asignación de turnos de trabajo

Ruescas Nicolau, Ana Virginia (Universitat Politècnica de València, 2016-12-07)

[EN] In this career guidance final project, we have contrasted the intelligent computer techniques applicability to solve rostering problems. Such problems are part of the area of combinatorial optimization problems ...
Application of Genetic Algorithms for the Optimization of Combinatorial Problems

Martí Gimeno, Pasqual (Universitat Politècnica de València, 2019-09-09)

[EN] Genetic algorithms (GA) are a good technique for obtaining near-optimal solutions to problems with no known strategy, saving computational power. However, without the adequate configuration of parameters, a GA will ...
Constructing Covering Arrays using Parallel Computing and Grid Computing

Avila George, Himer (Universitat Politècnica de València, 2012-09-10)

A good strategy to test a software component involves the generation of the whole set of cases that participate in its operation. While testing only individual values may not be enough, exhaustive testing of all possible ...
Discrete swarm intelligence optimization algorithms applied to steel-concrete composite bridges

Martínez-Muñoz, D.; García, J.; Martí Albiñana, José Vicente; Yepes, V. (Elsevier, 2022-09-01)

[EN] Composite bridge optimization might be challenging because of the significant number of variables involved in the problem. The optimization of a box-girder steel¿concrete composite bridge was done in this study with ...
Greedy and K-Greedy algoritmhs for multidimensional data association

Perea Rojas Marcos, Federico; de Waard, Huub. W. (Institute of Electrical and Electronics Engineers (IEEE), 2011-07)

[EN] The multidimensional assignment (MDA) problem is a combinatorial optimization problem arising in many applications, for instance multitarget tracking (MTT). The objective of an MDA problem of dimension $d\in\Bbb{N}$ ...
Horizontal collaboration in freight transport: concepts, benefits and environmental challenges

Serrano-Hernandez, Adrian; Juan, Angel A.; Faulin, Javier; Perez-Bernabeu, Elena (Institut d'Estadística de Catalunya (Idescat), 2017)

[EN] Since its appearance in the 1990s, horizontal collaboration (HC) practices have revealed themselves as catalyzers for optimizing the distribution of goods in freight transport logistics. After introducing the main ...
On the role of metaheuristic optimization in bioinformatics

Calvet, Laura; Benito, Sergio; Juan, Angel A.; Prados, Ferran (Blackwell Publishing, 2023-06-30)

[EN] Metaheuristic algorithms are employed to solve complex and large-scale optimization problems in many different fields, from transportation and smart cities to finance. This paper discusses how metaheuristic algorithms ...
Structural design of the doubly curved Heysel canopy

VERBEECK, Kenny; NEY, Laurent (Editorial Universitat Politècnica de València, 2010-02-09)

The design of the doubly curved canopy of the Heysel Tram Station by URA architects and Ney & Partners Structural Engineering aims to be a new icon for the Brussels, Belgium tramway terminus. The canopy, approximately 35m ...
Two-echelon transportation optimisation: a meta-narrative analysis

Gonzalez-Feliu, Jesús (ROGLE - Departamento de Organización de Empresas - Universitat Politècnica de València, 2011)

[EN] Freight transportation constitutes one of the main activities that influences economy and society, as it assures a vital link between suppliers and customers and it represents a major source of employment. Multi-echelon ...