Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11328)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): ICVNS: International Conference on Variable Neighborhood Search
Conference proceedings info: ICVNS 2018.
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Table of contents (23 papers)
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Front Matter
About this book
This book constitutes the refereed post-conference proceedings of the 6th International Conference on Variable Neighborhood Search, ICVNS 2018, held in Sithonia, Greece, in October 2018.
ICVNS 2018 received 49 submissions of which 23 full papers were carefully reviewed and selected.
VNS is a metaheuristic based on systematic changes in the neighborhood structure within a search for solving optimization problems and related tasks. The main goal of ICVNS 2018 was to provide a stimulating environment in which researchers coming from various scientific fields could share and discuss their knowledge, expertise, and ideas related to the VNS metaheuristic and its applications.
Keywords
- artificial intelligence
- combinatorial optimization
- computational results
- computer networks
- discrete optimization
- genetic algorithms
- global optimization
- graph theory
- heuristic algorithms
- heuristic methods
- integer programming
- metaheuristics
- problem solving
- simulated annealing
- tabu search
- telecommunication networks
- telecommunication traffic
- variable neighborhood search
- algorithm analysis and problem complexity
- data structures
Editors and Affiliations
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University of Macedonia, Thessaloniki, Greece
Angelo Sifaleras
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University of Kent, Canterbury, UK
Said Salhi
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Royal Military College of Canada, Kingston, Canada
Jack Brimberg
Bibliographic Information
Book Title: Variable Neighborhood Search
Book Subtitle: 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers
Editors: Angelo Sifaleras, Said Salhi, Jack Brimberg
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-15843-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-15842-2Published: 14 March 2019
eBook ISBN: 978-3-030-15843-9Published: 13 March 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 315
Number of Illustrations: 67 b/w illustrations, 26 illustrations in colour
Topics: Numeric Computing, Discrete Mathematics in Computer Science, Algorithm Analysis and Problem Complexity, Data Structures, Optimization
Industry Sectors: Energy, Utilities & Environment, IT & Software