Decision Making in Reverse Logistics Using System Dynamics
Discrete dynamics in transitional economies.
Distributed accelerated Nash equilibrium learning for two-subnetwork zero-sum game with bilinear coupling
This paper proposes a distributed accelerated first-order continuous-time algorithm for convergence to Nash equilibria in a class of two-subnetwork zero-sum games with bilinear couplings. First-order methods, which only use subgradients of functions, are frequently used in distributed/parallel algorithms for solving large-scale and big-data problems due to their simple structures. However, in the worst cases, first-order methods for two-subnetwork zero-sum games often have an asymptotic or convergence....
Distributed event-triggered algorithm for optimal resource allocation of multi-agent systems
This paper is concerned with solving the distributed resource allocation optimization problem by multi-agent systems over undirected graphs. The optimization objective function is a sum of local cost functions associated to individual agents, and the optimization variable satisfies a global network resource constraint. The local cost function and the network resource are the private data for each agent, which are not shared with others. A novel gradient-based continuous-time algorithm is proposed...
Dynamic traffic network equilibrium system.