Editors:
- Shows how to develop algorithms for real-world problems based on new metaheuristic methods
- Addresses important real-world problems, like parameter settings for controlling processes in a bioreactor and control of ethanol production
- Presents a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Poznan, Poland, September 9–12, 2018
Part of the book series: Studies in Computational Intelligence (SCI, volume 838)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
This book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes and problems in real life and industry can be represented as optimization problems, including modeling physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environments. This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. The book is useful for researchers and practitioners alike.
Editors and Affiliations
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Parallel Algorithms, Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria
Stefka Fidanova
Bibliographic Information
Book Title: Recent Advances in Computational Optimization
Book Subtitle: Results of the Workshop on “Computational Optimization” and “Numerical Search and Optimization” 2018
Editors: Stefka Fidanova
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-22723-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-22722-7Published: 04 July 2019
Softcover ISBN: 978-3-030-22725-8Published: 14 August 2020
eBook ISBN: 978-3-030-22723-4Published: 21 June 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 237
Number of Illustrations: 49 b/w illustrations, 65 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Algorithms