MEFISTO: A Pragmatic Metaheuristic Framework for Adaptive Search with a Special Application to Pickup and Delivery Transports

Andreas Cardeneo (), Werner Heid (), Frank Radaschewski (), Robert Scheffermann () and Johannes Spallek ()
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Andreas Cardeneo: FZI Forschungszentrum Informatik
Werner Heid: PTV AG
Frank Radaschewski: PTV AG
Robert Scheffermann: FZI Forschungszentrum Informatik
Johannes Spallek: FZI Forschungszentrum Informatik

Chapter 41 in Operations Research Proceedings 2008, 2009, pp 253-258 from Springer

Abstract: Summary We present MEFISTO, a pragmatic framework for transport optimization algorithms that has been jointly developed by the authors and is integral part of logistics planning solutions provided by PTV AG. We present design aspects that have led to the architecture of the framework using a variant of Granular Tabu Search. For the case of vehicle routing problems with pickup and delivery transports, we present a specialized local search procedure. Summarized results on benchmark and real world problems are given.

Keywords: Local Search; Precedence Constraint; Local Search Algorithm; Local Search Procedure; Transport Optimization (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-00142-0_41

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DOI: 10.1007/978-3-642-00142-0_41

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