An optimization algorithm for solving the rich vehicle routing problem based on variable neighborhood search and tabu search metaheuristics

DOI10.1016/j.cam.2015.03.050zbMath1319.90015OpenAlexW2014700678MaRDI QIDQ491075

Beatriz Royo, Carlos Quemada, David Escuín, Juan Antonio Sicilia

Publication date: 24 August 2015

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2015.03.050

zbMATH Keywords

optimization algorithmload balancemetaheuristic methodsrich vehicle routing problem

Mathematics Subject Classification ID

Mixed integer programming (90C11) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items (5)

Editorial: Mathematical modeling and computational methods ⋮ Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review ⋮ Extending the applicability of the local and semilocal convergence of Newton's method ⋮ Local convergence and the dynamics of a two-point four parameter Jarratt-like method under weak conditions ⋮ Mixed-model assembly line balancing problem considering learning effect and uncertain demand

Uses Software

• GLOB

Cites Work

• Unnamed Item
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• Solving a rich vehicle routing and inventory problem using column generation
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• Variable neighborhood search: Principles and applications

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