Two-phase pareto set discovery for team formation in social networks

Morteza Zihayat, Mehdi Kargar, Aijun An
January 2014

Abstract

This paper presents a two-phase approach for discovering Pareto sets in team formation problems within social networks, enabling multi-objective optimization.

Type
Conference paper
Publication
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)

This work introduces a two-phase methodology for discovering Pareto-optimal solutions in team formation problems.

Team Formation Social Networks Pareto Optimization Multi-Objective Optimization
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.