Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11299)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: HM 2019.
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Table of contents (16 papers)
Other volumes
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Hybrid Metaheuristics
Keywords
- artificial intelligence
- combinatorial optimization
- evolutionary algorithms
- genetic algorithms
- graph theory
- heuristic algorithms
- heuristic methods
- integer programming
- linear programming
- metaheuristics
- problem solving
- simulated annealing
- traveling salesman problem
- algorithm analysis and problem complexity
- data structures
About this book
This book constitutes the refereed proceedings of the 11th International Workshop on Hybrid Metaheuristics, HM 2019, held in Concepción, Chile, in January 2019.
The 11 revised full papers and 5 short papers presented were carefully reviewed and selected from 23 submissions. The papers present hybridization strategies and explore the integration of new techniques coming from other areas of expertise. They cover a variety of topics such as low-level hybridization, high-level hybridization, portfolio techniques, cooperative search, and theoretical aspects of hybridization.
Editors and Affiliations
Bibliographic Information
Book Title: Hybrid Metaheuristics
Book Subtitle: 11th International Workshop, HM 2019, Concepción, Chile, January 16–18, 2019, Proceedings
Editors: Maria J. Blesa Aguilera, Christian Blum, Haroldo Gambini Santos, Pedro Pinacho-Davidson, Julio Godoy del Campo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-05983-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-05982-8Published: 18 December 2018
eBook ISBN: 978-3-030-05983-5Published: 07 January 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 209
Number of Illustrations: 28 b/w illustrations, 18 illustrations in colour
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Numeric Computing, Discrete Mathematics in Computer Science, Data Structures