Reactive Search and Intelligent Optimization

Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optim...

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Detalles Bibliográficos
Autores principales: Battiti, Roberto, Brunato, Mauro, Mascia, Franco
Lenguaje:eng
Publicado: Springer 2008
Materias:
Mathematical Physics and Mathematics
Acceso en línea:https://dx.doi.org/10.1007/978-0-387-09624-7
http://cds.cern.ch/record/1338289
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author Battiti, Roberto
Brunato, Mauro
Mascia, Franco
author_facet Battiti, Roberto
Brunato, Mauro
Mascia, Franco
author_sort Battiti, Roberto
collection CERN
description Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online and off-line schemes based on the use of memory, adaptation, incremental development of models, experimental algorithms applied to optimization, intelligent tuning and design of heuristics. Reactive Search and Intelligent Optimization is an exc
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
publisher Springer
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spelling cern-13382892021-04-22T01:06:53Zdoi:10.1007/978-0-387-09624-7http://cds.cern.ch/record/1338289engBattiti, RobertoBrunato, MauroMascia, FrancoReactive Search and Intelligent OptimizationMathematical Physics and MathematicsReactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online and off-line schemes based on the use of memory, adaptation, incremental development of models, experimental algorithms applied to optimization, intelligent tuning and design of heuristics. Reactive Search and Intelligent Optimization is an excSpringeroai:cds.cern.ch:13382892008
spellingShingle Mathematical Physics and Mathematics
Battiti, Roberto
Brunato, Mauro
Mascia, Franco
Reactive Search and Intelligent Optimization
title Reactive Search and Intelligent Optimization
title_full Reactive Search and Intelligent Optimization
title_fullStr Reactive Search and Intelligent Optimization
title_full_unstemmed Reactive Search and Intelligent Optimization
title_short Reactive Search and Intelligent Optimization
title_sort reactive search and intelligent optimization
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-0-387-09624-7
http://cds.cern.ch/record/1338289
work_keys_str_mv AT battitiroberto reactivesearchandintelligentoptimization
AT brunatomauro reactivesearchandintelligentoptimization
AT masciafranco reactivesearchandintelligentoptimization

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