The Critical Path Method (CPM) and its development to probabilistic environment, the Program Evaluation and Review Technique (PERT), are the most common tools for predicting and managing different short time or long time projects. However, one of the main difficulties in using mathematical models in real world applications is the vagueness and uncertainty of data and parameters such as activity...

We consider the reliable multi configuration capacitated logistics network design problem (RMCLNDP) with system disruptions, concerned with facilities locating, transportation links constructing, and also allocating their limited capacities to the customers in order to satisfy their demands with a minimum expected total cost (including locating costs, link constructing costs, as well as expecte...

In this paper, real-time system identification of an unmanned aerial vehicle (UAV) based on multiple neural networks is presented. The UAV is a multi-input multi-output (MIMO) nonlinear system. Models for such MIMO system are expected to be adaptive to dynamic behaviour and robust to environmental variations. This task of accurate modelling has been achieved with a multi-network architecture. T...

Online class imbalance learning deals with data streams having very skewed class distributions in a timely fashion. Although a few methods have been proposed to handle such problems, most of them focus on two-class cases. Multi-class imbalance imposes additional challenges in learning. This paper studies the combined challenges posed by multiclass imbalance and online learning, and aims at a mo...

This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount o...

Suppose the mental processes required for performing a task are partially ordered. so that some pairs of processes are sequential and some are concurrent. Then they <:an be represented in a directed acyclic network. a PERT network. Suppose the duration or each proc:ess is a nonneptive random variable. Suppose two experimental factors are available. each selectively prolonpns a dill'erent proc:e...

Project management is usually calculated as a set of static activities, whereas in reality these activities tend to be dynamic involving multiple feedbacks (Park and Peña-Mora [5]). This results in many late project completions. Recently research has been done to formulate and analyze various methods to improve project prediction and control. These include concurrent engineering (Carter and Bak...

In this paper, the problem of semantic place categorization in mobile robotics is addressed by considering a time-based probabilistic approach called Dynamic Bayesian Mixture Model (DBMM), which is an improved variation of the Dynamic Bayesian Network (DBN). More specifically, multi-class semantic classification is performed by a DBMM composed of a mixture of heterogeneous base classifiers, usi...

revenue management is the process of accepting or ordering which increases gained revenue by using different techniques of pricing and selling capacity. this technique has improved greatly in service sector specially passenger section. in this article, the process of selling ticket in tehran-mashhad route for ghazal passenger train is modeled by two methods: static multi class and heuristic ems...

During the recent decades, neural network models have been focused upon by researchers due to their more real performance and on this basis, different types of these models have been used in forecasting. Now, there is a question that which kind of these models has more explanatory power in forecasting the future processes of the stock. In line with this, the present paper made a comparison betw...