Article citationsMore>>
Liang, J.J., Xu, W.W., Yue, C.T., Yu, K.J., Song, H., Crisalle, O.C. and Qu, B.Y. (2018) Multimodal Multiobjective Optimization with Differential Evolution. Swarm and Evolutionary Computation, 44, 1028-1059.
https://doi.org/10.1016/j.swevo.2018.10.016
has been cited by the following article:
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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.