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Metaheuristics: progress in complex systems optimization
The aim of ""Metaheuristics: Progress in Complex Systems Optimization"" is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2007
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-0-387-71921-4 http://cds.cern.ch/record/2116547 |
| _version_ | 1780949216446644224 |
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| author | Doerner, Karl F Gendreau, Michel Greistorfer, Peter Gutjahr, Walter Hartl, Richard F Reimann, Marc |
| author_facet | Doerner, Karl F Gendreau, Michel Greistorfer, Peter Gutjahr, Walter Hartl, Richard F Reimann, Marc |
| author_sort | Doerner, Karl F |
| collection | CERN |
| description | The aim of ""Metaheuristics: Progress in Complex Systems Optimization"" is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field. |
| id | cern-2116547 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2007 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-21165472021-04-21T19:56:40Zdoi:10.1007/978-0-387-71921-4http://cds.cern.ch/record/2116547engDoerner, Karl FGendreau, MichelGreistorfer, PeterGutjahr, WalterHartl, Richard FReimann, MarcMetaheuristics: progress in complex systems optimizationMathematical Physics and MathematicsThe aim of ""Metaheuristics: Progress in Complex Systems Optimization"" is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.Springeroai:cds.cern.ch:21165472007 |
| spellingShingle | Mathematical Physics and Mathematics Doerner, Karl F Gendreau, Michel Greistorfer, Peter Gutjahr, Walter Hartl, Richard F Reimann, Marc Metaheuristics: progress in complex systems optimization |
| title | Metaheuristics: progress in complex systems optimization |
| title_full | Metaheuristics: progress in complex systems optimization |
| title_fullStr | Metaheuristics: progress in complex systems optimization |
| title_full_unstemmed | Metaheuristics: progress in complex systems optimization |
| title_short | Metaheuristics: progress in complex systems optimization |
| title_sort | metaheuristics: progress in complex systems optimization |
| topic | Mathematical Physics and Mathematics |
| url | https://dx.doi.org/10.1007/978-0-387-71921-4 http://cds.cern.ch/record/2116547 |
| work_keys_str_mv | AT doernerkarlf metaheuristicsprogressincomplexsystemsoptimization AT gendreaumichel metaheuristicsprogressincomplexsystemsoptimization AT greistorferpeter metaheuristicsprogressincomplexsystemsoptimization AT gutjahrwalter metaheuristicsprogressincomplexsystemsoptimization AT hartlrichardf metaheuristicsprogressincomplexsystemsoptimization AT reimannmarc metaheuristicsprogressincomplexsystemsoptimization |