Online citations, reference lists, and bibliographies.
← Back to Search

A Solution For The Team Selection Problem Using ACO

Lázaro Lugo, M. Bello, A. Nowé, Rafael Bello
Published 2018 · Computer Science

Save to my Library
Download PDF
Analyze on Scholarcy Visualize in Litmaps
Reduce the time it takes to create your bibliography by a factor of 10 by using the world’s favourite reference manager
Time to take this seriously.
Get Citationsy
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.
This paper references
IMOST: Interactive Multiple Objective System Technique
Young-Jou Lai (1995)
Ant system: optimization by a colony of cooperating agents
M. Dorigo (1996)
Ant colony system: a cooperative learning approach to the traveling salesman problem
M. Dorigo (1997)
MAX-MIN Ant System
T. Stützle (2000)
Multi-type Ant Colony: The Edge Disjoint Paths Problem
A. Nowé (2004)
Multi-type ACO for Light Path Protection
Peter Vrancx (2005)
The Multiple-Category Problem: Category Activation and Inhibition in the Hiring Process
Carol T. Kulik (2007)
KNIME - the Konstanz information miner: version 2.0 and beyond
M. Berthold (2009)
Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP
A. Puris (2010)
A similarity measure for indefinite rankings
W. Webber (2010)
A fuzzy inference system with application to player selection and team formation in multi-player sports
M. Tavana (2013)
Multi-objective optimization and decision making approaches to cricket team selection
F. Ahmed (2013)
Soft Computing Methods for Personnel Selection Based on the Valuation of Competences
L. Canós (2014)
Multi-criteria assessment and ranking system of sport team formation based on objective-measured values of criteria set
Stanislav Dadelo (2014)
Role and member selection in team formation using resource estimation for large-scale multi-agent systems
M. Hayano (2014)
A win-win team formation problem based on the negotiation
J. Wang (2015)
Nuevos plugins para la herramienta Knime para el uso de sus flujos de trabajo desde otras aplicaciones
Ariel Izquierdo Iglesias (2015)
Un método para la generación de rankings en la selección de equipos de trabajo en ambiente competitivo basado en algoritmos genéticos
M. Bello (2016)
A Method for the Team Selection Problem Between Two Decision-Makers Using the Ant Colony Optimization
M. Bello (2018)

Semantic Scholar Logo Some data provided by SemanticScholar