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Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers

This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing...

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Detalles Bibliográficos
Autores principales: Kotsireas, Ilias, Pardalos, Panos
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-53552-0
http://cds.cern.ch/record/2727148
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author Kotsireas, Ilias
Pardalos, Panos
author_facet Kotsireas, Ilias
Pardalos, Panos
author_sort Kotsireas, Ilias
collection CERN
description This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 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. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. .
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spelling cern-27271482021-04-22T06:30:25Zdoi:10.1007/978-3-030-53552-0http://cds.cern.ch/record/2727148engKotsireas, IliasPardalos, PanosLearning and Intelligent Optimization : 14th International Conference : Revised Selected PapersMathematical Physics and MathematicsThis book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 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. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. .Springeroai:cds.cern.ch:27271482020
spellingShingle Mathematical Physics and Mathematics
Kotsireas, Ilias
Pardalos, Panos
Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers
title Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers
title_full Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers
title_fullStr Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers
title_full_unstemmed Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers
title_short Learning and Intelligent Optimization : 14th International Conference : Revised Selected Papers
title_sort learning and intelligent optimization : 14th international conference : revised selected papers
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-53552-0
http://cds.cern.ch/record/2727148
work_keys_str_mv AT kotsireasilias learningandintelligentoptimization14thinternationalconferencerevisedselectedpapers
AT pardalospanos learningandintelligentoptimization14thinternationalconferencerevisedselectedpapers