Matsatsinis / Marinakis / Pardalos Learning and Intelligent Optimization

13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers
Erscheinungsjahr 2020
ISBN: 978-3-030-38629-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 400 Seiten

Reihe: Lecture Notes in Computer Science

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 advancedresearch 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.

Zielgruppe

Research

Autoren/Hrsg.

Matsatsinis, Nikolaos F.

Marinakis, Yannis

Pardalos, Panos

Inhaltsverzeichnis

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.