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Variable Neighborhood Search

  • Kartonierter Einband
  • 208 Seiten
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This volume constitutes the post- conference proceedings of the 7th International Conference on Variable Neighborhood Search, ICVN... Weiterlesen
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Beschreibung

This volume constitutes the post- conference proceedings of the 7th International Conference on Variable Neighborhood Search, ICVNS 2019, held in Rabat, Morocco, in October 2019.
The 13 full papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers describe recent advances in methods and applications of variable neighborhood search.



Inhalt
A Reduced Variable Neighborhood Search Approach for Feature Selection in Cancer Classification.- Basic VNS for a Variant of the Online Order Batching Problem.- A VNS-Based Algorithm for the Mammography Unit Location Problem.- A Hybrid Heuristic Algorithm for the Dial-a-Ride Problem.- Multi-Objective Basic Variable Neighborhood Search for Portfolio Selection.- Local Search Approach for the (r|p)-Centroid Problem Under 1 Metric.- Optimization of Maintenance Planning and Routing Problems.- Variable Neighborhood Search for Identical Parallel Machine Scheduling Problem with a Single Server.- Basic VNS for the Uncapacitated Single Allocation p-Hub Maximal Covering Problem.- A Variable Neighborhood Search Algorithmic Approach for Estimating MDHMM Parameters and Application in Credit Risk Evaluation for Online Peer-to-Peer (P2P) Lending.- A Multi-Objective Metaheuristic for a Green UAV Grid Routing Problem.- A VNS Approach for Batch Sequencing and Route Planning in Manual Picking System with Time Windows.- Daily Scheduling and Routing of Home Health Care with Multiple Availability Periods of Patients.

Produktinformationen

Titel: Variable Neighborhood Search
Untertitel: 7th International Conference, ICVNS 2019, Rabat, Morocco, October 3-5, 2019, Revised Selected Papers
Editor:
EAN: 9783030449315
ISBN: 3030449319
Format: Kartonierter Einband
Herausgeber: Springer International Publishing
Genre: Informatik
Anzahl Seiten: 208
Gewicht: 324g
Größe: H235mm x B155mm x T11mm
Jahr: 2020
Auflage: 1st ed. 2020

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