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Optimization Engineering Sciences Metaheuristic by Stefanoiu Dan (8 results)
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Optimization in Engineering Sciences: Metaheuristic, Stochastic Methods and Decision Support (Control, Systems and Industrial Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 147.81
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Condition: New. Brand new! Please provide a physical shipping address.
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Optimization in Engineering Sciences: Metaheuristic, Stochastic Methods and Decision Support
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2014
ISBN 10: 1848214987 ISBN 13: 9781848214989
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Written within the framework of the European Union project ERRIC, Optimization in Engineering Sciences presents the main metaheuristics and approximate and stochastic methods for optimization of complex systems in engineering sciences. Num Pages: 446 pages, black & white illustrations. BIC Classification: TBC. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 29. Weight in Grams: 806. . 2014. Hardback. . . . .
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Optimization in Engineering Sciences: Metaheuristic, Stochastic Methods and Decision Support
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2014
ISBN 10: 1848214987 ISBN 13: 9781848214989
Condition: New. Written within the framework of the European Union project ERRIC, Optimization in Engineering Sciences presents the main metaheuristics and approximate and stochastic methods for optimization of complex systems in engineering sciences. Num Pages: 446 pages, black & white illustrations. BIC Classification: TBC. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 29. Weight in Grams: 806. . 2014. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Condition: Neu. Neuware - The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems in Engineering Sciences. It has been written within the framework of the European Union project ERRIC (Empowering Romanian Research on Intelligent Information Technologies), which is funded by the EU's FP7 Research Potential program and has been developed in co-operation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the reader to explore various methods of implementation such as metaheuristics, local search and populationbased methods. It examines multi-objective and stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.
