Intelligent Computational Optimization in Engineering, Mario Koeppen; Gerald Schaefer; Ajith Abraham

Автор: Crawley, E.F., Malmqvist, J., Ostlund, S., Brodeur
Название: Rethinking Engineering Education, 2 ed.
ISBN: 3319055607 ISBN-13(EAN): 9783319055602
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book describes an approach to engineering education that integrates a comprehensive set of personal, interpersonal and professional engineering skills with engineering disciplinary knowledge in order to prepare innovative and entrepreneurial engineers.

Автор: Sirouspour
Название: Advanced Engineering And Computational Methodologies For Intelligent Mecha
ISBN: 1466636343 ISBN-13(EAN): 9781466636347
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: The emergence of mechatronics has advanced the engineering disciplines, producing a plethora of useful technical systems. <br><br><em>Advanced Engineering and Computational Methodologies for Intelligent Mechatronics and Robotics</em> presents the latest innovations and technologies in the fields of mechatronics and robotics. These innovations are applied to a wide range of applications for robotic-assisted manufacturing, complex systems, and many more. This publication is essential to bridge the gap between theory and practice for researchers, engineers, and practitioners from academia to government.

Автор: Xin-She Yang; Slawomir Koziel
Название: Computational Optimization and Applications in Engineering and Industry
ISBN: 3642268846 ISBN-13(EAN): 9783642268847
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This volume presents ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications. The text consists of contributions from worldwide experts who are working in these exciting areas.

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642263186 ISBN-13(EAN): 9783642263187
Издательство: Springer
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Цена: 39182.00 р.
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Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Optimization
ISBN: 3642127746 ISBN-13(EAN): 9783642127748
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642107001 ISBN-13(EAN): 9783642107009
Издательство: Springer
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Цена: 43100.00 р.
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Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Optimization
ISBN: 3642263615 ISBN-13(EAN): 9783642263613
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Автор: Fidanova
Название: Recent Advances in Computational Optimization
ISBN: 3319401319 ISBN-13(EAN): 9783319401317
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization problems.