About this book series
Aims and Scope
Optimization has continued to expand in all directions at an astonishing rate. New algorithmic and theoretical techniques are continually developing and the diffusion into other disciplines is proceeding at a rapid pace, with a spot light on machine learning, artificial intelligence, and quantum computing. Our knowledge of all aspects of the field has grown even more profound. At the same time, one of the most striking trends in optimization is the constantly increasing emphasis on the interdisciplinary nature of the field. Optimization has been a basic tool in areas not limited to applied mathematics, engineering, medicine, economics, computer science, operations research, and other sciences.
The series Springer
Optimization and Its Applications (SOIA) aims to publish
state-of-the-art expository works (monographs, contributed volumes, textbooks,
handbooks) that focus on theory, methods, and applications of
optimization. Topics covered include, but are not limited to, nonlinear
optimization, combinatorial optimization, continuous optimization, stochastic
optimization, Bayesian optimization, optimal control, discrete
optimization, multi-objective optimization, and more. New to the series
portfolio include Works at the intersection of optimization and machine learning,
artificial intelligence, and quantum computing.
Volumes from this series are indexed by Web of Science, zbMATH, Mathematical Reviews, and SCOPUS.
- Electronic ISSN
- 1931-6836
- Print ISSN
- 1931-6828
- Series Editor
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- Pardalos Panos M.,
- My T. Thai
Book titles in this series
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Theory, Algorithms and Experiments in Applied Optimization
In Honor of the 70th Birthday of Panos Pardalos
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New Trends and Challenges in Optimization Theory Applied to Space Engineering
OTSE Conference Proceedings, 13‒15 December 2023, L'Aquila (Italy)
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Abstracted and indexed in
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- Mathematical Reviews
- Research Papers in Economics (RePEc)
- SCImago
- SCOPUS
- zbMATH