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Book synopsis

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.

• Provides a guide to using metaheuristics-based computational techniques to improve the design, performance, and broaden the applications of various materials
• Presents real-world case studies as well as commonly encountered problems and their solutions
• Allows for more accurate modeling, better material design, and development of materials tailored for specific applications

Book details

Book category Books in English Technology, engineering, agriculture Mechanical engineering & materials Materials science

• Full title: Metaheuristics-Based Materials Optimization
• Subtitle: Enhancing Materials Applications
• Author: Harbinder Singh, Shailendra Rajput, Abhishek Sharma
• Language: English
• Binding: Paperback
• Number of pages: 330
• EAN: 9780443291623
• ISBN: 0443291624
• ID: 46253562
• Publisher: Elsevier Science
• Weight: 1000 g
• Dimensions: 229 × 152 mm
• Date of publishing: 01. March 2025

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