Shulph Ink
Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2020
Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2020
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- More about Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2020
The book presents recent advances in computational optimization, covering a wide range of real-world problems such as physical processes, workforce planning, and engineering problems. It showcases new intelligent methods like evolutionary computations, ant colony optimization, and constraint programming to develop algorithms for these problems.
Format: Paperback / softback
Length: 490 pages
Publication date: 16 December 2022
Publisher: Springer Nature Switzerland AG
The book presents recent advances in computational optimization, a fundamental aspect of our daily lives. We strive to minimize our efforts and maximize our profits, recognizing the importance of optimization in various fields such as engineering, economics, medicine, and more. Real-world problems, including modeling physical processes, workforce planning, parameter settings, transportation, wireless sensor networks, machine scheduling, air pollution modeling, and solving complex systems of differential equations, can be approached through optimization techniques.
The book is a valuable resource, featuring extended contributions from the Workshops on Computational Optimization 2020. It covers a wide range of important real-world problems, showcasing the application of optimization algorithms based on innovative methods like evolutionary computations, ant colony optimization, constraint programming, and others. This research demonstrates the power of optimization in addressing complex challenges and improving decision-making processes across different domains.
In conclusion, this book provides a comprehensive and up-to-date overview of computational optimization, highlighting its significance in modern society. It serves as a valuable resource for researchers, practitioners, and students interested in developing efficient algorithms and solving complex optimization problems.
Weight: 765g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030823993
Edition number: 1st ed. 2022
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