Recent advances evolutionary multi objective von bechikh (6 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2018
Serie: Adaptation, Learning, and Optimization, Buch 7 von 12. Buch 7 von 12 - Adaptation, Learning, and Optimization
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Sprache: Englisch
Verlag: Springer 2016
Serie: Adaptation, Learning, and Optimization, Buch 7 von 12. Buch 7 von 12 - Adaptation, Learning, and Optimization
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Recent Advances in Evolutionary Multi-Objective Optimization
Bechikh, Slim (Edited by)/ Datta, Rituparna (Edited by)/ Gupta, Abhishek (Edited by)
Sprache: Englisch
Verlag: Springer 2016
Serie: Adaptation, Learning, and Optimization, Buch 7 von 12. Buch 7 von 12 - Adaptation, Learning, and Optimization
- Hardcover
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Hardcover. Zustand: Brand New. 192 pages. 9.25x6.25x0.50 inches. In Stock.
Weitere BilderSprache: Englisch
Verlag: Springer 2018
Serie: Adaptation, Learning, and Optimization, Buch 7 von 12. Buch 7 von 12 - Adaptation, Learning, and Optimization
- Softcover
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Taschenbuch. Zustand: Neu. Recent Advances in Evolutionary Multi-objective Optimization | Slim Bechikh (u. a.) | Taschenbuch | Adaptation, Learning, and Optimization | xii | Englisch | 2018 | Springer | EAN 9783319827094 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]h…artmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing 2016
Serie: Adaptation, Learning, and Optimization, Buch 7 von 12. Buch 7 von 12 - Adaptation, Learning, and Optimization
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have… made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing 2018
Serie: Adaptation, Learning, and Optimization, Buch 7 von 12. Buch 7 von 12 - Adaptation, Learning, and Optimization
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 106,99
EUR 61,50 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the autho…rs have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
