UID:
almahu_9949342237902882
Umfang:
XIII, 410 p. 115 illus., 84 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030921217
Serie:
Theoretical Computer Science and General Issues, 12931
Inhalt:
This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 15, held in Athens, Greece, in June 2021. The 30 full papers presented have been carefully reviewed and selected from 35 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030921200
Weitere Ausg.:
Printed edition: ISBN 9783030921224
Sprache:
Englisch
DOI:
10.1007/978-3-030-92121-7
URL:
https://doi.org/10.1007/978-3-030-92121-7
URL:
https://doi.org/10.1007/978-3-030-92121-7
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