CLOVES: a cluster-and-search heuristic to solve the vehicle routing problem with delivery and pick-up
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Publication:859684
DOI10.1016/j.ejor.2006.01.037zbMath1148.90303OpenAlexW2049065056MaRDI QIDQ859684
Publication date: 16 January 2007
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2006.01.037
Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)
Related Items (12)
Genetic algorithms in supply chain management: a critical analysis of the literature ⋮ An adaptive large neighborhood search for an E-grocery delivery routing problem ⋮ Mixed integer linear programming model for multi-commodity multi-depot inventory routing problem ⋮ Pickup and delivery problem with recharging for material handling systems utilising autonomous mobile robots ⋮ Optimization problems for machine learning: a survey ⋮ A new VRPPD model and a hybrid heuristic solution approach for e-tailing ⋮ Adaptive memory artificial bee colony algorithm for Green vehicle routing with cross-docking ⋮ A computer-enabled solution procedure for food wholesalers' distribution decision in cities with a circular transportation infrastructure ⋮ CLOVES ⋮ An algorithm for the capacitated vehicle routing problem with route balancing ⋮ Single-commodity vehicle routing problem with pickup and delivery service ⋮ Unified heuristics to solve routing problem of reverse logistics in sustainable supply chain
Uses Software
Cites Work
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- Vehicle routing and reverse logistics: The vehicle routing problem with simultaneous delivery and pick-up
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