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Metaheuristics-Based Materials Optimization : Enhancing Materials Applications

By: (Edited by) Abhishek Sharma , (Edited by) Ph. D. Singh M. Tech. B. Tech. Harbinder , (Edited by) Shailendra Rajput

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Ksh 41,400.00

Format: Paperback / Softback

ISBN-10: 0443291624

ISBN-13: 9780443291623

Series: Elsevier Series in Mechanics of Advanced Materials

Publisher: Elsevier - Health Sciences Division

Imprint: Woodhead Publishing

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 23rd, 2025

Print length: 552 Pages

Weight: 1,000 grams

Product Classification: Materials science

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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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