Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11544)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: SEA 2019.
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About this book
The 35 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers cover a wide range of topics in both computer science and operations research/mathematical programming. They focus on the role of experimentation and engineering techniques in the design and evaluation of algorithms, data structures, and computational optimization methods.
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Keywords
- approximation algorithms
- artificial intelligence
- computational geometry
- computer graphics
- computer networks
- data mining
- evolutionary algorithms
- genetic algorithms
- graph g
- graph theory
- graphic methods
- heuristic algorithms
- integer programming
- metaheuristics
- multiobjective optimization
- problem solving
- simulated annealing
- software engineering
- vertex set
- vlsi circuits
- algorithm analysis and problem complexity
Table of contents (35 papers)
Other volumes
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Analysis of Experimental Algorithms
Editors and Affiliations
Bibliographic Information
Book Title: Analysis of Experimental Algorithms
Book Subtitle: Special Event, SEA² 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers
Editors: Ilias Kotsireas, Panos Pardalos, Konstantinos E. Parsopoulos, Dimitris Souravlias, Arsenis Tsokas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-34029-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-34028-5Published: 15 November 2019
eBook ISBN: 978-3-030-34029-2Published: 14 November 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 564
Number of Illustrations: 337 b/w illustrations, 125 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Mathematics of Computing, Data Structures, Artificial Intelligence, Computer Graphics