Traffic routing plays a critical role in determining the performance of a wireless mesh network. Recent research results usually fall into two ends of the spectrum. On one end are the heuristic routing algorithms, which are highly adaptive to the dynamic environments of wireless networks yet lack the analytical properties of how well the network performs globally. On the other end are the optim...

multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. one of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic proc...

This paper addresses the transportation of valuable goods in which security carriers are interested to optimize operating costs and vehicle routes’ security. In real operations, route planning scheduling normally performed manually based on individual experience. Hereupon, an optimizing approach should be developed target robbery risk reduction distribution network’ operational costs. Facing da...

Multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. One of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic proc...

We introduce an approach and a software tool for solving coupled energy networks composed of gas electric power networks. Those are to stochastic fluctuations address possibly fluctuating demand due demands supplies. Through computational results, the presented is tested on realistic size.

Abstract In this paper, we focus on a location-routing problem (LRP) in the dairy industry. This consists of locating cold storage warehouse, from which vehicles limited capacity are dispatched to serve given number supermarkets with uncertain service requirements, and determining order served by each vehicle. First, LRP is solved using classical approach based deterministic model where i.e. cu...