Application of Bayesian Decision Theory Based on Prior Information in the Multi-Objective Optimization Problem

作者：Lei, Xia; Jin, Maozhu^*; Wang, Qiang

来源：International Journal of Computational Intelligence Systems, 2010, 3: 31-42.

• Multi-Objective Optimization
• Prior Information
• Maximum Entropy Principle
• Distributed multiple inputs and multiple outputs

General multi-objective optimization methods are hard to obtain prior information, how to utilize prior information has been a challenge. This paper analyzes the characteristics of Bayesian decision-making based on maximum entropy principle and prior information, especially in case that how to effectively improve decision-making reliability in deficiency of reference samples. The paper exhibits effectiveness of the proposed method using the real application of multi-frequency offset estimation in distributed multiple-input multiple-output system. The simulation results demonstrate Bayesian decision-making based on prior information has better global searching capability when sampling data is deficient.

• 出版日期2010-12
• 单位电子科技大学; 四川大学