Abstract
In the previous chapters we considered two types of cooperation of the players. In the first case, they form a grand coalition , obtain the largest possible overall payoff which is then divided among the players based on certain concepts of fairness. In the second case the players negotiate to reach a fair settlement. In many cases a third way of cooperation occurs. The players agree in selecting a third person, the mediator , who has the trust of the players and the right and duty of finding a final solution to be given to them. After the mediator reaches his decision, all players are obliged to accept it. In this case, we have a single decision maker, who takes the interests of all players into account simultaneously. If \(\phi _1, \ldots , \phi _N\) are the payoff functions of the players and higher value is better for all, then the role of the mediator is to find a satisfactory solution for the corresponding multiobjective optimization problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer Japan
About this chapter
Cite this chapter
Matsumoto, A., Szidarovszky, F. (2016). Multiobjective Optimization. In: Game Theory and Its Applications. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54786-0_13
Download citation
DOI: https://doi.org/10.1007/978-4-431-54786-0_13
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-54785-3
Online ISBN: 978-4-431-54786-0
eBook Packages: Economics and FinanceEconomics and Finance (R0)