A novel method for distributed optimization with globally coupled constraints based on multi-agent systems.
Yiyang GeXuehui MeiHaijun JiangJianlong QiuZhiyong YuPublished in: Neurocomputing (2022)
Keyphrases
- multi agent systems
- cost function
- experimental evaluation
- detection method
- high accuracy
- optimization algorithm
- clustering method
- optimization method
- synthetic data
- dynamic programming
- support vector machine
- constrained optimization
- prior knowledge
- global optimization
- optimization process
- pairwise
- preprocessing
- objective function
- data sets
- evolution strategy
- high precision
- co occurrence
- computational cost