Advancements in Optimization and Nature-Inspired Computing for Solutions in Contemporary Engineering Challenges (Springer Tracts in Nature-Inspired Computing)

By: Diego Rossit and Carlos Enrique Torres-Aguilar and Adrián Andrés Toncovich

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Synopsis: This book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering. The book demonstrates diverse applications of mathematical modeling in various aspects of production, logistic, design, energy, materials, and other engineering areas. The book includes topics in optimization algorithms nature-inspired computing multi-objective optimization hybrid optimization techniques evolutionary algorithms swarm intelligence machine learning for optimization applications of optimization in engineering sustainable engineering solutions big data analytics for optimization metaheuristic approaches cloud computing in optimization cyber-physical systems decision support systems emerging trends in optimization.

Book Quality:: Publisher Quality
ISBN-13:: 9789819607068
Related ISBNs:: 9789819607051
Publisher:: Springer Nature Singapore
Date of Addition:: 03/23/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Diego Rossit
Edited by:: Carlos Enrique Torres-Aguilar
Edited by:: Adrián Andrés Toncovich