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Design and Applications of Nature Inspired Optimization: Contribution of Women Leaders in the Field

Design and Applications of Nature Inspired Optimization: Contribution of Women Leaders in the Field

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  • More about Design and Applications of Nature Inspired Optimization: Contribution of Women Leaders in the Field


This book provides detailed information about nature-inspired optimization techniques and their real-life applications across various fields, highlighting the contributions of women leaders in the field. It encourages individuals to explore and apply these techniques to solve complex problems.

Format: Hardback
Length: 204 pages
Publication date: 03 January 2023
Publisher: Springer International Publishing AG


This comprehensive book delves into the realm of nature-inspired optimization techniques, offering a wealth of information on their real-life applications across diverse fields. By employing these proven and efficient methods, the authors have successfully tackled numerous challenging problems in the literature. They provide in-depth insights into real-world problems, showcasing how nature-inspired optimizations are applied to solve them. The book explores a range of algorithms, including Biogeography-Based Optimization, Glow Swarm Optimization, Elephant Herd Optimization Algorithm, Cuckoo Search Algorithm, Ant Colony Optimization, and Grey Wolf Optimization, among others. These algorithms find applications in a wide array of domains, including engineering, finance, medicine, and more. As a significant contribution to the Women in Science and Engineering book series, this work emphasizes the significant contributions of women leaders in the field of nature-inspired optimization, inspiring and encouraging individuals from all genders to explore and excel in this field.


Introduction:
Nature-inspired optimization techniques have gained widespread popularity in recent years due to their ability to solve complex problems efficiently. These techniques are inspired by the natural world and borrow principles from biological, ecological, and social systems. In this book, we will explore the applications of nature-inspired optimization techniques in real-life problems across various fields.
Real-Life Applications:
The book begins by discussing the application of nature-inspired optimization techniques in engineering. The authors showcase how these techniques can be used to optimize designs, reduce costs, and improve performance in various engineering applications, such as transportation, energy systems, and manufacturing. They discuss algorithms such as Genetic Algorithms, Ant Colony Optimization, and Swarm Intelligence, which have been successfully applied to solve complex engineering problems.
Finance:
Next, the book delves into the application of nature-inspired optimization techniques in finance. The authors discuss how these techniques can be used to optimize investment portfolios, manage risk, and make informed financial decisions. They discuss algorithms such as Grey Wolf Optimization, Bat Algorithm, and Whale Optimization, which have been used to optimize financial portfolios and improve investment returns.
Medicine:
The book also explores the application of nature-inspired optimization techniques in medicine. The authors discuss how these techniques can be used to optimize drug discovery, medical imaging, and patient treatment plans. They discuss algorithms such as Particle Swarm Optimization, Ant Colony Optimization, and Grey Wolf Optimization, which have been used to identify new drug candidates, improve medical imaging techniques, and optimize patient care.
Conclusion:
In conclusion, this book provides a comprehensive overview of nature-inspired optimization techniques and their real-life applications across diverse fields. The authors have successfully demonstrated the effectiveness of these techniques in solving complex problems and have highlighted the contributions of women leaders in the field. By leveraging the principles of nature, we can develop more efficient and sustainable solutions to real-world problems.

Weight: 494g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031179280
Edition number: 1st ed. 2022

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