%0 Journal Article %A LI Zhuangkuo %A CHANG Kaixuan %T Ant Colony Optimization for Continuous Domains Applied to Cooperative Game %D 2021 %R 10.3778/j.issn.1002-8331.2007-0322 %J Computer Engineering and Applications %P 198-204 %V 57 %N 24 %X

In the theoretical research of cooperative games, the classic solution concept of cooperative game does not embody the limited rationality and interactional game-playing behavior of the player in the solution process. In the real world, the allocation schemes are often formed through the player’s rational interaction and strategic changes. This paper introduces rational factors and control factors to describe the players’ decision-making behaviors during the game, establishes a cooperative game model considering interaction behavior, and uses ant colony optimization for continuous domains to solve the cooperative game. An example shows that this method can ensure the allocation scheme satisfies the effectiveness and the individual rationality, and can quickly obtain the only allocation scheme of the alliance. It provides a new idea and tool for solving cooperative games.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2007-0322