Uncertain Graph and Network Optimization (eBook)
XVII, 130 Seiten
Springer Nature Singapore (Verlag)
978-981-19-1472-0 (ISBN)
Jin Peng is a leading professor at Huanggang Normal University, Hubei, China. He received his Ph.D. degree in operational research and cybernetics from Tsinghua University in 2003. His primary research interests include uncertainty theory, uncertain programming, uncertain risk analysis, uncertain network optimization, intelligent computing and uncertainty modelling in various application areas such as scheduling, vehicle routing problems, finance. Dr. Peng has published more than 100 research papers on a range of topics in various international academic journals including European Journal of Operational Research, International Journal of Production Research, Information Sciences, Applied Mathematical Modelling, Applied Mathematics and Computation, Insurance: Mathematics and Economics, Fuzzy Optimization and Decision Making, Soft Computing, Applied Soft Computing, Journal of Intelligent Manufacturing, Computers & Industrial Engineering, International Journal of Computer Mathematics, International Journal of Systems Science, International Journal of General Systems, International Journal of Machine Learning and Cybernetics, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, etc. His research has been supported by varieties of research projects including the National Natural Science Foundation, the Humanity and Social Science Foundation of Ministry of Education, and Hubei Provincial Natural Science Foundation, China. Prof. Peng is currently serving as the associate editor, area editor, editorial board member, or peer reviewer of multiple international journals. He has also acted as the chairs, board members of program committees or organizing committees in various conferences or academic organizations at home and abroad.
This first book focuses on uncertain graph and network optimization. It covers three different main contents: uncertain graph, uncertain programming and uncertain network optimization. It also presents applications of uncertain network optimization in a lot of real problems such as transportation problems, dispatching medical supplies problems and location problems.The book is suitable for researchers, engineers, teachers and students in the field of mathematics, information science, computer science, decision science, management science and engineering, artificial intelligence, industrial engineering, economics and operations research.
| Erscheint lt. Verlag | 3.5.2022 |
|---|---|
| Reihe/Serie | Springer Uncertainty Research | Springer Uncertainty Research |
| Zusatzinfo | XVII, 130 p. 24 illus. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Naturwissenschaften | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Belief Degree • Human Uncertainty • Intelligent algorithm • Uncertain Graph • Uncertain Network Optimization • Uncertain Programming • Uncertainty Theory |
| ISBN-10 | 981-19-1472-9 / 9811914729 |
| ISBN-13 | 978-981-19-1472-0 / 9789811914720 |
| Haben Sie eine Frage zum Produkt? |
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