Variable Neighborhood Search: Theoretical Computer Science and General Issues
Editat de Nenad Mladenovic, Andrei Sleptchenko, Angelo Sifaleras, Mohammed Omaren Limba Engleză Paperback – 18 feb 2021
Chapter “Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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Specificații
ISBN-13: 9783030696245
ISBN-10: 3030696243
Pagini: 204
Ilustrații: X, 191 p. 66 illus., 26 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:1st edition 2021
Editura: Springer
Seria Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3030696243
Pagini: 204
Ilustrații: X, 191 p. 66 illus., 26 illus. in color.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:1st edition 2021
Editura: Springer
Seria Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
Which are the most critical nodes in a network? A Basic Variable Neighborhood Search approach.- Variable Neighborhood Descent Branching applied to the Green Electric Vehicle Routing Problem with Time Window and Mixed Fleet.- A Variable Neighborhood Heuristic for Facility Locations in Fog Computing.- A GRASP/VND Heuristic for the Generalized Steiner Problem with Node-Connectivity Constraints and Hostile Reliability.- Max-Diversity Orthogonal Regrouping of MBA Students using a GRASP/VND Heuristic.- Scheduling in parallel machines with two servers: the restrictive case.- Reduced Variable Neighbourhood Search for the generation of controlled circular data.- Sequential and Parallel Scattered Variable Neighborhood Search for Solving Nurikabe.- A Hybrid VNS for the Multi-Product Maritime Inventory Routing Problem.- Simplicial vertex heuristic in solving the Railway arrival and departure paths assignment problem.- Scheduling of Patients in Emergency Departments with a Variable NeighborhoodSearch.- A GRASP/VND Heuristic for the Heterogeneous Fleet Vehicle Routing Problem with Time Windows.- Using K-means and Variable Neighborhood Search for Automatic Summarization of Scientific Articles.- BVNS approach for the Order Processing in Parallel Picking Workstations .