DocumentCode :
2995027
Title :
The simple supply chain model and evolutionary computation
Author :
Gosling, Timothy
Author_Institution :
Essex Univ., Chelmsford, UK
Volume :
4
fYear :
2003
fDate :
8-12 Dec. 2003
Firstpage :
2322
Abstract :
This article provides an overview of the simple supply chain model (SSCM), scenarios derived from this model and the strategies being used to begin to tackle SSCM problems. The article further provides details of how evolutionary computation is used (via population based incremental learning) to optimise parameters for the designed strategies.
Keywords :
evolutionary computation; learning (artificial intelligence); supply chains; SSCM; evolutionary computation; parameter optimisation; population based incremental learning; problem; simple supply chain model; Computational modeling; Consumer electronics; Decision making; Design optimization; Evolutionary computation; Humans; Learning systems; Protocols; Supply chains; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
Type :
conf
DOI :
10.1109/CEC.2003.1299378
Filename :
1299378
Link To Document :
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