Titlebook: Bio-inspired Algorithms for the Vehicle Routing Problem; Francisco Babtista Pereira,Jorge Tavares Book 2009 Springer-Verlag Berlin Heidelb

Spartan

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https://doi.org/10.1007/978-3-030-54824-7wn hard combinatorial optimization problem that seeks to design a set of non-depot returning vehicle routes in order to service a set of customers with known demands. Each customer is serviced only once by exactly one vehicle, within fixed time intervals that represent the earliest and latest times

外向者

Supercooled Liquids and the Glass Transition the classical vehicle routing problem (VRP) have received much attention from the genetic algorithms (GAs) community, we find it surprising to identify only one GA in the literature for the fixed destination multi-depot vehicle routing problem (MDVRP). This paper aims to bridge this gap by proposin

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壕溝

An Exactly Solvable Model: The Perceptronhe objective is to maximise the number of loads transported, while keeping to capacity and time constraints. Loads arrive while the problem is being solved, which makes it a real-time routing problem. The solver is a self-adaptive evolutionary algorithm that ensures feasible solutions at all times.

讓步

https://doi.org/10.1007/978-3-030-23600-7he inventory costs, plus a set of delivery frequencies instead of a single delivery frequency for each shop. Additionally, the ITP can also be viewed as a generalisation of the Inventory Routing Problem to the multiproduct case. EVITA, standing for .olutionary .nventory and .ransportation .lgorithm,

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