Title :
A Adaptive Genetic Algorithm for Selecting Partners in Virtual Enterprise
Author :
Yang, Changchun ; Xue, Hengxin ; Ding, Jianping
Author_Institution :
Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol.
Abstract :
Partner selection is a key issue in the formation of virtual enterprise (VE) process. This paper proposed a partner selection problem based on the factor of risk, due date and performance parameters of sub-projects. By using the Dempster-Shafer theory (DST) and genetic algorithm (GA) in model transformation, an adaptive GA is developed to solve the problem. An example of applying this algorithm is given to prove its feasibility and validity
Keywords :
adaptive systems; genetic algorithms; risk analysis; uncertainty handling; virtual enterprises; Dempster-Shafer theory; adaptive genetic algorithm; partner selection; virtual enterprise; Companies; Computer integrated manufacturing; Computer science; Environmental economics; Genetic algorithms; Mathematical model; Optimization methods; Research and development; Technology management; Virtual enterprises; genetic algorithm; optimization in two phases; partner selection; virtual enterprise;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714407
