JSW 2015 Vol.10(3): 344-354 ISSN: 1796-217X
doi: 10.17706/jsw.10.3.344-354
doi: 10.17706/jsw.10.3.344-354
Team Formation Based on Nature-Inspired Swarm Intelligence
Christian Eichmann1* Carsten Mueller2
1University of Economics, Faculty of Informatics and Statistics
22Prague Baden Wuerttemberg Cooperative State University Mosbach, Germany.
Abstract—This paper describes an application to form teams from a given set of employees. The teams are assigned to perform task. To accomplish a task a team has to fulfill specific requirements which have to been minded while assigning teams to task. The goal is the forming of a chain of task meeting specific requirements and assigning a team to each task able to solve it. These chains have to be optimized for a synergy value representing how well employees work together. There is one synergy value for each possible pair of employees.
Index Terms—Swarm intelligence, ant colony optimization, team formation, metaheuristic.
22Prague Baden Wuerttemberg Cooperative State University Mosbach, Germany.
Abstract—This paper describes an application to form teams from a given set of employees. The teams are assigned to perform task. To accomplish a task a team has to fulfill specific requirements which have to been minded while assigning teams to task. The goal is the forming of a chain of task meeting specific requirements and assigning a team to each task able to solve it. These chains have to be optimized for a synergy value representing how well employees work together. There is one synergy value for each possible pair of employees.
Index Terms—Swarm intelligence, ant colony optimization, team formation, metaheuristic.
Cite: Christian Eichmann, Carsten Mueller, "Team Formation Based on Nature-Inspired Swarm Intelligence," Journal of Software vol. 10, no. 3, pp. 344-354, 2015.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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