Dewey Class |
518 |
Title |
Learning and Intelligent Optimization ([EBook]) : 13th International Conference, LION 13, Chania, Crete, Greece, May 27-31, 2019, Revised Selected Papers / / edited by Nikolaos F. Matsatsinis, Yannis Marinakis, Panos Pardalos. |
Added Personal Name |
Matsatsinis, Nikolaos F. |
Marinakis, Yannis |
Pardalos, Panos |
Other name(s) |
SpringerLink (Online service) |
Edition statement |
1st ed. 2020. |
Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2020. |
Physical Details |
XIII, 400 p. 98 illus., 49 illus. in color. : online resource. |
Series |
Theoretical Computer Science and General Issues ; 11968 |
ISBN |
9783030386290 |
Summary Note |
This book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019. The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.: |
Contents note |
Machine learning -- Artificial Intelligence -- Machine learning approaches -- Bio-inspired optimization -- Optimization with randomized search heuristics -- Evolutionary algorithms -- Continuous optimization -- Mathematical optimization -- Routing and network design problems -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Planning and scheduling -- Distributed artificial intelligence -- Multi-agent systems -- Intelligent agents. |
Mode of acces to digital resource |
Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format |
System details note |
- Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
Internet Site |
https://doi.org/10.1007/978-3-030-38629-0 |
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