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

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

Blog Article

General multi-objective optimization methods are hard to obtain prior information, how to utilize prior Birthstone Memorial Necklace Gift Box 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 Bangle is deficient.