par Lugo, Lázaro;Bello, Marilyn;Nowe, Ann 
;Bello, Rafael
Référence Lecture notes in computer science, 11172 LNCS, page (325-332)
Publication Publié, 2018
;Bello, RafaelRéférence Lecture notes in computer science, 11172 LNCS, page (325-332)
Publication Publié, 2018
Article révisé par les pairs
| Résumé : | The team selection problem is usually solved by ranking candidates based on the preferences of decision-makers and allowing the decision-makers to take turns selecting candidates. While this solution method is simple and might seem fair it usually results in an unfair allocation of candidates to the different teams, i.e. the quality of the teams might be quite different according to the rankings articulated by the decision-makers. In this paper, we propose a new method based on Ant Colony Optimization (ACO), where the selection process is performed in a new context, with more than two decision-makers selecting from a common set of candidates. Furthermore, a plugin implementing this method for the KNIME platform was developed. |
