Multi-agent distributed optimization algorithms for partition-based linear programming (LP) problems.
Ruggero CarliKasim Sinan YildirimLuca SchenatoPublished in: ECC (2018)
Keyphrases
- linear programming
- optimization problems
- interior point
- multi agent
- mathematical programming
- optimization approaches
- quadratic program
- combinatorial optimization
- quadratic programming
- linear program
- lp relaxation
- cooperative
- discrete optimization
- nonlinear programming
- optimization methods
- linear programming problems
- continuous optimization
- convex optimization problems
- learning algorithm
- approximate solutions
- objective function
- benchmark problems
- feasible solution
- np complete
- distributed systems
- np hard
- integer programming
- optimal solution
- multi agent systems
- simplex algorithm
- evolutionary algorithm
- multi objective
- stochastic programming
- partially observable markov decision processes
- dynamic programming
- semidefinite
- optimization criteria
- computational complexity
- convergence rate
- knapsack problem
- distributed constraint optimization