Modern optimization methods for science, engineering and technology:
Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and every new generation o...
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bristol, UK
IOP Publishing
[2020]
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| Schriftenreihe: | IOP ebooks
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| Schlagworte: | |
| Online-Zugang: | UBR01 Volltext |
| Zusammenfassung: | Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and every new generation of computers with their increased power and speed allows for the development and wider application of new types of solutions. This book defines the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner along with their potential applications and implementation strategies. It encompasses linear programming, multivariable methods for risk assessment, nonlinear methods, ant colony optimization, particle swarm optimization, multi-criterion and topology optimization, learning classifier, case studies on six sigma, performance measures and evaluation, multi-objective optimization problems, machine learning approaches, genetic algorithms and quality of service optimizations. The book will be very useful for wide spectrum of target readers including students and researchers in academia and industry |
| Beschreibung: | 1 Online-Ressource (xxiv, 408 Seiten) Illustrationen, Diagramme |
| ISBN: | 9780750324045 9780750324038 |
Internformat
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:15:43Z |
| indexdate | 2024-07-10T08:50:14Z |
| institution | BVB |
| isbn | 9780750324045 9780750324038 |
| language | English |
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| physical | 1 Online-Ressource (xxiv, 408 Seiten) Illustrationen, Diagramme |
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| publishDate | 2020 |
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| publishDateSort | 2020 |
| publisher | IOP Publishing |
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| series2 | IOP ebooks |
| spelling | Modern optimization methods for science, engineering and technology edited by G.R. Sinha, Myanmar Institute of Information Technology Mandalay, Myanmar Bristol, UK IOP Publishing [2020] 1 Online-Ressource (xxiv, 408 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier IOP ebooks Achieving a better solution or improving the performance of existing system design is an ongoing a process for which scientists, engineers, mathematicians and researchers have been striving for many years. Ever increasingly practical and robust methods have been developed, and every new generation of computers with their increased power and speed allows for the development and wider application of new types of solutions. This book defines the fundamentals, background and theoretical concepts of optimization principles in a comprehensive manner along with their potential applications and implementation strategies. It encompasses linear programming, multivariable methods for risk assessment, nonlinear methods, ant colony optimization, particle swarm optimization, multi-criterion and topology optimization, learning classifier, case studies on six sigma, performance measures and evaluation, multi-objective optimization problems, machine learning approaches, genetic algorithms and quality of service optimizations. The book will be very useful for wide spectrum of target readers including students and researchers in academia and industry Optimization / bicssc MATHEMATICS / Optimization / bisacsh Mathematical optimization Operations research Sinha, G. R. 1975- (DE-588)120734642X edt Erscheint auch als Druck-Ausgabe 978-0-7503-2402-1 https://iopscience.iop.org/book/978-0-7503-2404-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Modern optimization methods for science, engineering and technology Optimization / bicssc MATHEMATICS / Optimization / bisacsh Mathematical optimization Operations research |
| title | Modern optimization methods for science, engineering and technology |
| title_auth | Modern optimization methods for science, engineering and technology |
| title_exact_search | Modern optimization methods for science, engineering and technology |
| title_exact_search_txtP | Modern optimization methods for science, engineering and technology |
| title_full | Modern optimization methods for science, engineering and technology edited by G.R. Sinha, Myanmar Institute of Information Technology Mandalay, Myanmar |
| title_fullStr | Modern optimization methods for science, engineering and technology edited by G.R. Sinha, Myanmar Institute of Information Technology Mandalay, Myanmar |
| title_full_unstemmed | Modern optimization methods for science, engineering and technology edited by G.R. Sinha, Myanmar Institute of Information Technology Mandalay, Myanmar |
| title_short | Modern optimization methods for science, engineering and technology |
| title_sort | modern optimization methods for science engineering and technology |
| topic | Optimization / bicssc MATHEMATICS / Optimization / bisacsh Mathematical optimization Operations research |
| topic_facet | Optimization / bicssc MATHEMATICS / Optimization / bisacsh Mathematical optimization Operations research |
| url | https://iopscience.iop.org/book/978-0-7503-2404-5 |
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