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Wang, G.G., Cai, X., Cui, Z., Min, G. and Chen, J. (2020) High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm. IEEE Transactions on Emerging Topics in Computing, 8, 20-30.
https://doi.org/10.1109/TETC.2017.2703784

has been cited by the following article:

• TITLE: Distributed Alternating Direction Method of Multipliers for Multi-Objective Optimization

  AUTHORS: Hui Deng, Yangdong Xu

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

  JOURNAL NAME: Advances in Pure Mathematics, Vol.12 No.4, April 6, 2022

  ABSTRACT: 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.