Titlebook: Combinatorial Optimization and Applications; A Tribute to Bernard Teodor Gabriel Crainic,Michel Gendreau,Antonio Fra Book 2024 The Editor(s

中古

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性別

https://doi.org/10.1007/978-3-7091-8684-8all and enhance the basic definitions and formulations, and introduce new ones for richer multi-layer networks, with more than two layers and connectivity relations involving several layers simultaneously. We illustrate these concepts through multi-layer service network design models for tactical pl

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https://doi.org/10.1007/978-3-642-59771-8, the fact that it boils down to what formally amounts to a single problem prevents from using techniques—disaggregated master problems, possibly with “easy components”—that allow to solve the corresponding Lagrangian dual more efficiently. We develop an ad-hoc reformulation of the standard master p

Fretful

Potsdamer Rechtswissenschaftliche Reihevariables in the composition of integer Benders optimality cuts. These approaches were tested on two problems: the multi-commodity facility location problem and the multi-activity shift scheduling problem. Computational results are presented on numerous instances with different characteristics to de

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Jürgen H. Both,Freiherr Maercken zu Geerath and accelerated by either transferring information from the subproblems to the master, thus strengthening the latter’s formulation, or applying the reverse approach and sending information from the master to the subproblems, thus improving the quality of the cuts that can be obtained from them. In

Pander

https://doi.org/10.1007/978-3-642-59771-8 solution of the Lagrangian subproblem. Consequently, at each iteration of the subgradient method (used to solve the Lagrangian dual), we offer both an upper and a lower bound to the original problem. This facilitates the computation of the duality gap to evaluate solution quality. In addition, we a

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Celiac-Plexus

咒語

https://doi.org/10.1007/978-3-030-17294-7rch. This study advances the state of knowledge on the VRPMVTTW by revising and implementing a heuristic method for optimizing vehicle type and route selection. That implementation is applied to operational demand data serving over 1200 customer points for a downtown Toronto case study. Sensitivity