Descrição do livro
Design optimization is a cornerstone of modern engineering practice, serving as a bridge between theoretical innovation and real-world application. As industries face increasingly complex challenges, including resource limitations and sustainability demands, the need for systematic optimization has become more important than ever. Engineers are required to balance multiple competing objectives while still meeting strict cost and efficiency constraints. Advanced computational tools and modeling techniques now play a central role in identifying optimal design solutions. Ultimately, design optimization enables more efficient, sustainable, and high-performing systems across a wide range of engineering fields. Design Optimization in Engineering: Algorithms, Modeling, and Industrial Applications explores the multifaceted landscape of engineering design optimization, examining how algorithms, mathematical modeling, and computational techniques converge to solve real-world industrial problems. By bridging theory and practice, the book establishes clear connections between optimization methods and their industrial applications, enabling readers to translate theoretical knowledge into actionable engineering solutions. Covering topics such as digital twin modeling, high-performance computing architectures, and hybrid metaheuristic optimization algorithms, this book is an indispensable academic resource for graduate and doctoral students, engineers, data scientists, consultants, software developers, policymakers, and more.
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