On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty.
George PantazisFiliberto FeleKostas MargellosPublished in: CoRR (2020)
Keyphrases
- optimization problems
- multi agent
- uncertain data
- probability theory
- benchmark problems
- complex optimization problems
- optimization criteria
- cost function
- probabilistic model
- handling uncertainty
- evolutionary algorithm
- conditional probabilities
- multiagent systems
- intelligent agents
- decision theory
- agent oriented
- candidate solutions
- probability measure
- probability measures
- objective function
- autonomous agents
- machine learning
- solution space
- metaheuristic
- optimization methods
- probability distribution
- multi agent systems
- search algorithm