About this book series
The book series Modeling and Optimization in Science and Technologies (MOST) publishes basic principles as well as novel theories and methods in the fast-evolving field of modeling and optimization. Topics of interest include, but are not limited to: methods for analysis, design and control of complex systems, networks and machines; methods for analysis, visualization and management of large data sets; use of supercomputers for modeling complex systems; digital signal processing; molecular modeling; and tools and software solutions for different scientific and technological purposes. Special emphasis is given to publications discussing novel theories and practical solutions that, by overcoming the limitations of traditional methods, may successfully address modern scientific challenges, thus promoting scientific and technological progress. The series publishes monographs, contributed volumes and conference proceedings, as well as advanced textbooks. The main targets of the series are graduate students, researchers and professionals working at the forefront of their fields.
Indexed by SCOPUS. All books published in the series are submitted for consideration in Web of Science.
- Electronic ISSN
- 2196-7334
- Print ISSN
- 2196-7326
- Series Editor
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- Srikanta Patnaik,
- Ishwar K. Sethi,
- Xiaolong Li
Book titles in this series
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Discrete Mathematics, Probability Theory and Stochastic Processes
For Applications in Engineering and Computer Science
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Nature-Inspired Methods for Metaheuristics Optimization
Algorithms and Applications in Science and Engineering
Abstracted and indexed in
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- Chemical Abstracts Service (CAS)
- SCImago
- SCOPUS
- zbMATH