Overview
- Demonstrates 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 bioreactors, and control of ethanol production
- Presents a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO), held in Prague, Czech Republic on September 3–6, 2017
Part of the book series: Studies in Computational Intelligence (SCI, volume 795)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Our everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization.
Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming andothers.Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Computational Optimization
Book Subtitle: Results of the Workshop on Computational Optimization WCO 2017
Editors: Stefka Fidanova
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-99648-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-99647-9Published: 27 September 2018
Softcover ISBN: 978-3-030-07618-4Published: 01 February 2019
eBook ISBN: 978-3-319-99648-6Published: 18 September 2018
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 236
Number of Illustrations: 36 b/w illustrations, 40 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Algorithms
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