Recent game-theoretic approaches to constructing overlay network topologies have not been scalable. This paper introduces a machine learning approach to constructing overlay networks. The machine learning approach learns characteristics from small networks constructed using a game-theoretic approach. The knowledge learned is then used to construct larger networks. The results show that the mach...

Intensified industrialization in developing countries has recently resulted in huge electric power demand growth; however, electricity generation in these countries is still heavily reliant on inefficient and traditional non-renewable technologies. In this paper, we develop an integrated game-theoretic model for effective power systems planning thorough balancing between supply and demand for e...

We develop a price competition model for a new supply chain that competes in a market comprised of some rival supply chains. The new supply chain has one risk-neutral manufacturer and one risk-averse retailer in which the manufacturer is a leader and retailer is a follower. The manufacturer pays a fraction of the risk cost (caused by demand uncertainty) to the retailer. We apply this competitiv...