Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2021

Recent advances in computational optimization are presented in this book, including modeling of physical processes, parameter settings, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations, and solving engineering and financial problems. New intelligent methods like evolutionary computations, ant colony optimization, constraint programming, and Monte Carlo method are used to develop algorithms for these problems.

Format: Hardback
Length: 388 pages
Publication date: 17 September 2022
Publisher: Springer International Publishing AG

This comprehensive book delves into the latest advancements in computational optimization, presenting a wealth of knowledge and practical applications. Covering a wide range of real-world problems, from modeling physical processes to parameter settings for controlling diverse systems, transportation challenges, machine scheduling, air pollution modeling, and the solution of complex equations describing real-world phenomena, it offers insightful approaches to developing efficient algorithms. By employing innovative intelligent methods such as evolutionary computations, ant colony optimization, constraint programming, and Monte Carlo methods, the book showcases how optimization can be applied to address engineering, economic, and other complex domains. Through rigorous research and case studies, it demonstrates the power of optimization in solving real-world problems and advancing scientific understanding. This invaluable resource is essential for researchers, practitioners, and students seeking to leverage the latest techniques in computational optimization to achieve optimal solutions in their fields.

Introduction:
In today's rapidly evolving world, where efficiency, productivity, and competitiveness are paramount, computational optimization has emerged as a crucial tool for solving complex problems. This book serves as a comprehensive guide to the latest advances in this field, presenting a wealth of knowledge and practical applications.
Scope of Coverage:
The book encompasses a wide range of real-world problems, from modeling physical processes to parameter settings for controlling diverse systems. It also delves into transportation challenges, machine scheduling, air pollution modeling, and the solution of complex equations describing real-world phenomena. By addressing these diverse problems, the book demonstrates the versatility and applicability of optimization techniques across various domains.
Innovative Intelligent Methods:
One of the key strengths of this book is its emphasis on innovative intelligent methods. The authors introduce a range of cutting-edge algorithms, such as evolutionary computations, ant colony optimization, constraint programming, and Monte Carlo methods, which have shown remarkable promise in solving optimization problems. These methods leverage the power of artificial intelligence and machine learning to explore vast solution spaces and find optimal solutions efficiently.
Real-World Applications:
The book showcases how optimization can be applied to address engineering, economic, and other complex domains. Through rigorous research and case studies, the authors demonstrate how optimization algorithms can be developed to solve real-world problems, such as optimizing energy consumption in buildings, designing efficient transportation systems, and optimizing financial portfolios. By applying optimization principles, organizations can make data-driven decisions and achieve significant improvements in their performance.
Conclusion:
In conclusion, this book presents a comprehensive and up-to-date overview of computational optimization. It offers valuable insights into the latest advances in optimization algorithms, intelligent methods, and real-world applications. Whether you are a researcher, practitioner, or student seeking to leverage optimization techniques to solve complex problems, this book is an essential resource for your library. By exploring the power of computational optimization, you can unlock new opportunities and drive innovation in your field.

Weight: 764g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031068386
Edition number: 1st ed. 2022