Recent Advances in Computational Optimization: Results of the Workshop on Computational Optimization WCO 2019

This book presents recent advances in computational optimization, including modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling, and design of VLSI. It demonstrates how to develop algorithms for these problems based on new intelligent methods like evolutionary computations, ant colony optimization, constraint programming, and others.

Format: Paperback / softback
Length: 199 pages
Publication date: 30 November 2021
Publisher: Springer Nature Switzerland AG

Computational optimization plays a crucial role in our daily lives, as we strive to minimize our efforts and maximize our profits. Numerous real-world and industrial problems, spanning various fields such as engineering, economics, medicine, and more, can be approached as optimization tasks. This comprehensive book showcases the latest advancements in computational optimization. It encompasses significant real-world problems such as modeling physical processes, predicting wildfire and flood risks, workforce planning, optimizing parameter settings for controlling diverse processes, designing optimal electrical vehicle systems, modeling bioreactors, and optimizing VLSI designs.

The book demonstrates the development of algorithms for these problems using innovative intelligent methods, including evolutionary computations, ant colony optimization, constraint programming, and others. Through this research, it becomes evident how optimization techniques can be applied to solve complex real-world problems arising in engineering, economics, and other domains.

This book serves as a valuable resource for researchers, practitioners, and students interested in computational optimization and its applications. It provides a comprehensive overview of the field, covering theoretical foundations, algorithms, and real-world case studies, enabling readers to stay up-to-date with the latest developments and apply optimization principles to address challenging problems in their respective domains.

Weight: 332g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030588861
Edition number: 1st ed. 2021