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<title>Metaheurísticos (GRINUBUMET)</title>
<link>https://hdl.handle.net/10259/5645</link>
<description/>
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<rdf:li rdf:resource="https://hdl.handle.net/10259/11517"/>
<rdf:li rdf:resource="https://hdl.handle.net/10259/11496"/>
<rdf:li rdf:resource="https://hdl.handle.net/10259/11478"/>
<rdf:li rdf:resource="https://hdl.handle.net/10259/11077"/>
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<dc:date>2026-05-11T12:23:15Z</dc:date>
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<item rdf:about="https://hdl.handle.net/10259/11517">
<title>Efficient assignment of flight levels: a variable neighbourhood search approach</title>
<link>https://hdl.handle.net/10259/11517</link>
<description>Efficient assignment of flight levels: a variable neighbourhood search approach
Pacheco Bonrostro, Joaquín; Casado Yusta, Silvia; Solana Ezquerra, Mario
Air traffic management (ATM) is a complex process that includes objectives such as minimising delays, costs, and environmental impacts, with safety being a top priority. Growth in air traffic over the past few decades has increased the complexity of this process. In European airspace, ATM is more crucial because of the high traffic density. A key aspect of this management strategy is the allocation of flight levels in the planning phase to avoid conflicts before takeoff. Therefore, a model is required for the allocation of flight levels in the planning phase to eliminate all conflicts and meet objectives such as minimising cost and emissions. In the absence of conflicts, planning delays in takeoff are avoided and in-flight corrective manoeuvres (such as changes in altitude or speed during flights) are reduced, reducing the workload of the controller. This study proposed a method based on a metaheuristic variable neighbourhood search (VNS) strategy on a multistart framework. Various experiments with simulated instances demonstrated that this method improves the results obtained using commercial software. In addition, tests based on real data (both in Europe and Spain) showed satisfactory results in terms of economics and sustainability.
</description>
<dc:date>2025-12-01T00:00:00Z</dc:date>
</item>
<item rdf:about="https://hdl.handle.net/10259/11496">
<title>Iterative Stepped Search algorithm for the clique partitioning problem</title>
<link>https://hdl.handle.net/10259/11496</link>
<description>Iterative Stepped Search algorithm for the clique partitioning problem
Solana Ezquerra, Mario; Pacheco Bonrostro, Joaquín; Casado Yusta, Silvia
The dataset is a set of txt files with the fictitious instaces used in the paper "Iterative Stepped Search algorithm for the clique partitioning problem"&#13;
&#13;
The dataset is a text file containing the solutions obtained in the article “Iterative Stepped Search Algorithm for the Clique Partitioning Problem” for a set of instances from the DIMACS library.
</description>
<dc:date>2026-03-21T00:00:00Z</dc:date>
</item>
<item rdf:about="https://hdl.handle.net/10259/11478">
<title>Spanish Provinces Banking and Tourism Panel Dataset (2015-2024)</title>
<link>https://hdl.handle.net/10259/11478</link>
<description>Spanish Provinces Banking and Tourism Panel Dataset (2015-2024)
Moreno Molina, Adrián; Antón Maraña, Paula; Lima Santos, Luís; Puche Regaliza, Julio César
This dataset comprises annual panel data for 52 Spanish provinces (NUTS-3) from 2015 to 2024, supporting the analysis in the manuscript&#13;
"The Impact of Banking Deserts on Tourism Development: Evidence from Spanish Provinces." &#13;
It includes 13 key variables on banking consolidation (e.g., HHI concentration, offices, firms_bank, workers_bank), &#13;
provincial controls (gdp_pc, int_rate, unemploy, density), and tourism outcomes (credit_tour, firms_tour, workers_tour, overnight, travellers).
</description>
<dc:date>2026-03-12T00:00:00Z</dc:date>
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<item rdf:about="https://hdl.handle.net/10259/11077">
<title>Instances used in the paper Efficient model for shift planning in the health and social care sector [Dataset]</title>
<link>https://hdl.handle.net/10259/11077</link>
<description>Instances used in the paper Efficient model for shift planning in the health and social care sector [Dataset]
Pacheco Bonrostro, Joaquín; Antón Maraña, Paula; Casado Yusta, Silvia; Puche Regaliza, Julio César
The data set is a set of txt files with the fictitious instaces used in the paper "Efficient model for shift planning in the health and social care sector".
</description>
<dc:date>2025-11-17T00:00:00Z</dc:date>
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