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Vol. 165, Issue 2, February 2014, pp. 245-250




Improved ant Colony Optimization for Virtual Teams Building in Collaborative Process Planning

* Yingying Su, Hai Dong, Di Liang

School of Mechanical Engineering, Shenyang University, Shenyang, 110044, China

* Tel.: 0086-13840210136

* E-mail: syyle2012@163.com


Received: 22 October 2013 /Accepted: 12 December 2013 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems


Abstract: Virtual teams have been adopted by organizations to gain competitive advantages in this global economy. Virtual teams are a ubiquitous part of getting work done in almost every organization. For the purpose of building virtual teams in collaborative process planning, the method based on improved ant colony algorithm (IMACO) was proposed. The concept of virtual team was illustrated and the necessity of building virtual teams in collaborative process planning was analyzed. The sub tasks with certain timing relationship were described and the model of building virtual teams in collaborative process planning was established, which was solved by improved ant colony algorithm. In this paper applications of the IMACO and ACO are compared and demonstrate that the use of the IMACO algorithm performs better. An example was studied to illustrate the effectiveness of the strategy.


Keywords: Virtual teams, Process planning, Computer supported cooperative work, Improved ant colony optimization


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