The Robust Weighted Multi-Objective Game

PLoS One. 2015 Sep 25;10(9):e0138970. doi: 10.1371/journal.pone.0138970. eCollection 2015.

Abstract

This paper studies a class of multi-objective n-person non-zero sum games through a robust weighted approach where each player has more than one competing objective. This robust weighted multi-objective game model assumes that each player attaches a set of weights to its objectives instead of accessing accurate weights. Each player wishes to minimize its maximum weighted sum objective where the maximization is pointing to the set of weights. To address this new model, a new equilibrium concept-robust weighted Nash equilibrium is obtained. The existence of this new concept is proven on suitable assumptions about the multi-objective payoffs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Game Theory*

Grants and funding

The work is supported by The Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (No. TP2014043). The work is also supported by a research Grant from Science and Engineering Research Council (SERC), A*STAR (Title of Supported Project: Master Facilitative Control Tower for Risk Management of Complex Supply Chains and Ref Number: 1121790043) and by Natural Scientific Foundation of China (No. 71201040, No. 11201099).