Uncertain Graph and Network Optimization: Springer Uncertainty Research
Autor Bo Zhang, Jin Pengen Limba Engleză Hardback – 4 mai 2022
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.
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| Hardback (1) | 697.67 lei 6-8 săpt. | |
| Springer Nature Singapore – 4 mai 2022 | 697.67 lei 6-8 săpt. |
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Specificații
ISBN-13: 9789811914713
ISBN-10: 9811914710
Pagini: 130
Ilustrații: XVII, 130 p. 24 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.39 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Uncertainty Research
Locul publicării:Singapore, Singapore
ISBN-10: 9811914710
Pagini: 130
Ilustrații: XVII, 130 p. 24 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.39 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Springer Uncertainty Research
Locul publicării:Singapore, Singapore
Cuprins
Introduction.- Graph and Network.- Uncertainty Theory.- Uncertain Programming.- Uncertain Graph.- Uncertain Network Optimization.- Applications of Uncertain Network Optimization.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
Addresses uncertain network optimization both in theory and practice Studies classical problems of uncertain graphs Presents the models, solution method, and algorithm design of uncertain network optimization