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Learning and Intelligent Optimization [electronic resource] : 13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Theoretical Computer Science and General Issues ; 11968Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XIII, 400 p. 98 illus., 49 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030386290
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 518 23
LOC classification:
  • QA71-90
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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