On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty.
George PantazisFiliberto FeleKostas MargellosPublished in: Eur. J. Control (2022)
Keyphrases
- optimization problems
- multi agent
- uncertain data
- benchmark problems
- probability theory
- evolutionary algorithm
- cost function
- metaheuristic
- optimization criteria
- handling uncertainty
- multi agent systems
- probabilistic model
- bayesian networks
- decision theory
- candidate solutions
- conditional probabilities
- objective function
- combinatorial optimization
- probability measures
- data driven
- optimal solution
- expected utility
- probabilistic knowledge
- genetic algorithm
- discrete optimization problems
- agent oriented
- solution space
- information theoretic
- autonomous agents
- particle swarm optimization
- cooperative
- reinforcement learning