The linear programming approach to approximate dynamic programming has received considerable attention in the recent network revenue management literature. A major challenge of the approach lies in solving the resulting approximate linear programs (ALPs), which often have a huge number of constraints and/or variables. We show that the ALPs can be dramatically reduced in size for both affine and...

Network revenue management is concerned with managing demand for products that require inventory from one or several resources by controlling product availability and/or prices in order to maximize expected revenues subject to the available resource capacities. One can tackle this problem by decomposing it into resource-level subproblems that can be solved efficiently, e.g. by dynamic programmi...

Cable Operators have an unprecedented opportunity to leverage an existing asset (big data) to better understand subscriber behavior, improve quality of experience (QOE) for their subscribers, and generate new revenue streams. The challenge so far has been to address the rapidly growing rates of data volumes, which are inturn being driven by the explosive rise of IP content, tablets & smartphone...

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...

We study the static pricing problem for a network service provider in a loss system with a tree structure. In the network, multiple classes share a common inbound link and then have dedicated outbound links. The motivation is from a company that sells phone cards and needs to price calls to different destinations. We characterize the optimal static prices in order to maximize the steady-state r...

The rapid growth in demand for cellular telephony coupled to the limited bandwidth allocated to the air interface, has encouraged researchers to find technological solutions to increase the number of usable channels. The various techniques developed invariably involve installation of new infrastructure. While such strategies enable the networks to meet peak-hour demand, they inevitably leave th...

Internet is evolving, traffic continues to grow, new revenue sources are sought by Network and Service Providers. Value added services with real time characteristics are likely to be common currency in the near future. Quality of Service (QoS) could allow Application/Service Providers (APs) to offer better services to the end users. At the same time, all actors claim for a fair distribution of ...

evaluate the performance of companies on the stock exchange using non-parametric methods is very important. dea and dea-r with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. in this study, using a neural network algorithm dea and dea-r is suggested to classify the first companies in the stock exchange; secondly, using the co...

efficiency of the existing protected areas network in conservation of biodiversity is one of the most important challenges of protected areas custodians. despite there are numerous articles on evaluating the efficiency of the protected areas for conserving the habitat and species on national and international scales, in iran this subject has not been studied yet. the aim of the present study is...