Multi-Agent Distributed Optimization Based on the Game Theory and its Application in Automobile Chassis
Ru Kong, Niaona Zhang, Xuanxuan Bao, Xiaohui Lu · 2018
Most problems in real life can be solved by optimizing a series of complex targets. However, most of the existing optimization theories are dependent on the specific application scenarios, and lack a systematized optimization strategy. And most of the existing optimization algorithms are based on the global information to build a decision-making mechanism, it's difficult to meet in practice. For this purpose this paper studies the multi-agent optimization problem of the hot research in the field of complex multi-objective optimization in the world in recent years, and proposes a multi-agent distributed optimization method based on the game theory. This paper achieves global optimization by analyzing the optimization target of each agent and determining the action strategy of multi-agent, finally, taking the automobile chassis as an example to to verify this method.