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Inhaltsangabe
The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.
This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
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Über die Autorin bzw. den Autor
Bastien Chopard is a professor in the Département d'informatique of the Université de Genève, where he directs the Scientific and Parallel Computing Group. His main research activity concerns the study of complex systems, in particular the development of new numerical methods to model and simulate phenomena in natural sciences, economics, social systems, and biomedical applications, the key tools used being cellular automata, the lattice Boltzmann method, and multiagent techniques.
Marco Tomassini is an honorary professor at the Faculty of Business and Economics of the University of Lausanne (HEC). After obtaining a PhD degree in Theoretical Chemistry working on computer simulations of condensed matter systems, he switched to Computer Science and complex systems investigations. His main research activities have since focused on parallel computing, cellular automata, evolutionary algorithms, the structure of difficult problem landscapes, complex networks, and evolutionary games.
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The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.
This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.
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- VerlagSpringer
- Erscheinungsdatum2018
- ISBN 10 3319930729
- ISBN 13 9783319930725
- EinbandTapa dura
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten240
- Kontakt zum HerstellerNicht verfügbar
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An Introduction to Metaheuristics for Optimization
Verlag:
Springer International Publishing, 2018
ISBN 10: 3319930729
ISBN 13: 9783319930725
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics. Artikel-Nr. 9783319930725
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An Introduction to Metaheuristics for Optimization
Verlag:
Springer International Publishing AG, 2018
ISBN 10: 3319930729
ISBN 13: 9783319930725
Neu
Hardcover
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An Introduction to Metaheuristics for Optimization
Verlag:
Springer International Publishing, 2018
ISBN 10: 3319930729
ISBN 13: 9783319930725
Neu
Hardcover
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Zustand: New. Accessible introduction, suitable for students and for self-studyAssumes basic computing skills only as a prerequisiteAuthors are interdisciplinary researchers, and they bring this into their approachBastien Chopard is. Artikel-Nr. 224215400
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An Introduction to Metaheuristics for Optimization (Natural Computing Series)
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An Introduction to Metaheuristics for Optimization
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