A stochastic mirror-descent algorithm for solving AXB=C over an multi-agent system.
Yinghui WangSongsong ChengPublished in: Kybernetika (2021)
Keyphrases
- optimization algorithm
- computational cost
- improved algorithm
- computationally efficient
- dynamic programming
- learning algorithm
- experimental evaluation
- multi agent systems
- computational complexity
- expectation maximization
- k means
- cost function
- particle swarm optimization
- linear programming
- detection algorithm
- multi objective
- high accuracy
- theoretical analysis
- segmentation algorithm
- worst case
- matching algorithm
- preprocessing
- recognition algorithm
- objective function
- clustering algorithm
- stochastic approximation
- clustering method
- data sets
- significant improvement
- evolutionary algorithm
- search space
- optimal solution
- multi agent
- neural network