An intelligent physarum solver for supply chain network design under profit maximization and oligopolistic competition
Year of publication: |
1-15 January 2017
|
---|---|
Authors: | Zhang, Xiaoge ; Chan, Felix T. S. ; Adamatzky, Andrew ; Mahadevan, Sankaran ; Yang, Hai ; Zhang, Zili ; Deng, Yong |
Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 55.2017, 1/2 (1/15.1.), p. 244-263
|
Subject: | supply chain design | decision support systems | artificial intelligence | Physarum | network oligopolies | Lieferkette | Supply chain | Oligopol | Oligopoly | Theorie | Theory | Management-Informationssystem | Management information system | Künstliche Intelligenz | Artificial intelligence | Unternehmensnetzwerk | Business network |
-
Kosala, Raymond, (2017)
-
Gleue, Christoph, (2019)
-
Shahi, Shashi K., (2022)
- More ...
-
Physarum solver : a bio-inspired method for sustainable supply chain network design problem
Zhang, Xiaoge, (2017)
-
IFSJSP : a novel methodology for the job-shop scheduling problem based on intuitionsistic fuzzy sets
Zhang, Xiaoge, (2013)
-
Identifying influential nodes in weighted networks based on evidence theory
Wei, Daijun, (2013)
- More ...