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

Abstract

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

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.

Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.