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paperback. Condition: New. New item in gift quality condition. 99% of orders arrive in 4-10 days. Discounted shipping on multiple books.
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US$ 293.34
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Metaheuristics-based Materials Optimization : Enhancing Materials Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Metaheuristics-Based Materials Optimization: Enhancing Materials Applications (Elsevier Series in Mechanics of Advanced Materials)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Metaheuristics-based Materials Optimization : Enhancing Materials Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 412.76
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Add to basketCondition: New. Provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materialsPresents real-world case studies as well as commonly encountered problems and their.
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Metaheuristics-Based Materials Optimization : Enhancing Materials Applications
Language: English
Published by Elsevier - Health Sciences Division Mai 2025, 2025
ISBN 10: 0443291624 ISBN 13: 9780443291623
Taschenbuch. Condition: Neu. Neuware - Metaheuristics-Based Materials Optimization: Enhancing Materials Applications provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materials. The book fuses optimization algorithms with materials engineering, enabling more accurate simulations and models for analyzing and predicting the behavior of materials under different conditions, allowing for design of materials with improved performance, durability, energy efficiency, cost-effectiveness, and other desired characteristics. Metaheuristic approaches for material synthesis and design, structural optimization, material characterization, property prediction, and process optimization are all covered, as are comparisons of different algorithms, step-by-step guidelines on how to implement them, and case studies of them being applied in real-world settings.
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Metaheuristics-Based Materials Optimization (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443291624 ISBN 13: 9780443291623
Paperback. Condition: new. Paperback. Metaheuristics-Based Materials Optimization: Enhancing Materials Applications This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: new. Questo è un articolo print on demand.
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US$ 310.41
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Add to basketPaperback. Condition: Brand New. 330 pages. 9.00x6.00x9.02 inches. In Stock. This item is printed on demand.
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Metaheuristics-Based Materials Optimization (Paperback)
Language: English
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443291624 ISBN 13: 9780443291623
US$ 313.93
US$ 49.79 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Metaheuristics-Based Materials Optimization: Enhancing Materials Applications provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materials. The book fuses optimization algorithms with materials engineering, enabling more accurate simulations and models for analyzing and predicting the behavior of materials under different conditions, allowing for design of materials with improved performance, durability, energy efficiency, cost-effectiveness, and other desired characteristics. Metaheuristic approaches for material synthesis and design, structural optimization, material characterization, property prediction, and process optimization are all covered, as are comparisons of different algorithms, step-by-step guidelines on how to implement them, and case studies of them being applied in real-world settings. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
