A Parallel Decomposition Method for Nonconvex Stochastic Multi-Agent Optimization Problems.
Yang YangGesualdo ScutariDaniel P. PalomarMarius PesaventoPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- decomposition method
- optimization problems
- multi agent
- evolutionary algorithm
- objective function
- metaheuristic
- stochastic optimization problems
- tree decomposition
- cost function
- decomposition methods
- decomposition algorithm
- nonlinear programming
- parallel processing
- subgradient method
- optimization methods
- combinatorial optimization
- intelligent agents
- traveling salesman problem
- shared memory
- agent oriented
- multiple agents
- multiagent systems
- multi objective
- multi agent systems
- cooperative
- reinforcement learning
- qr decomposition
- neural network
- parallel implementation
- parallel computing
- monte carlo
- optimization criteria
- team formation