Author(s)

Hui Deng^*, Yangdong Xu

Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, China.

In this paper, a distributed algorithm is proposed to solve a kind of multi-objective optimization problem based on the alternating direction method of multipliers. Compared with the centralized algorithms, this algorithm does not need a central node. Therefore, it has the characteristics of low communication burden and high privacy. In addition, numerical experiments are provided to validate the effectiveness of the proposed algorithm.

Alternating Direction Method of Multipliers, Distributed Algorithm, Multi-Objective Optimization, Multi-Agent System

Deng, H. and Xu, Y. (2022) Distributed Alternating Direction Method of Multipliers for Multi-Objective Optimization. Advances in Pure Mathematics, 12, 249-259. doi: 10.4236/apm.2022.124019.