The current paper presents a robust optimum design of friction stir welding (FSW) lap joint AA1100 aluminum alloy sheets using Monte Carlo simulation, NSGA-II and neural network. First, to find the relation between the inputs and outputs a perceptron neural network model was obtained. In this way, results of thirty friction stir welding tests are used for training and testing the neural network...

Monitoring and control of traffic networks represent alternative, inexpensive strategies to minimize congestion. As the number sensors is naturally constrained by budgetary requirements, real-time estimation flow in road segments that are not equipped with significant importance - thereby providing situational awareness guiding feedback strategies. To end, firstly we build a generalized model f...

Hub location-allocation problems are currently a subject of keen interest in the research community. However, when this issue is considered in practice, significant difficulties such as traffic, commodity transportation and telecommunication tend to be overlooked. In this paper, a novel robust mathematical model for a p-hub covering problem, which tackles the intrinsic uncertainty of some param...

Modeling of fermentation processes is so complicated and uncertain; therefore it is necessary to provide a robust and appropriate dynamic optimization method. In order to obtain the maximum amount of yeast (Saccharomyces cerevisiae), the bioreactor must be operated under optimal conditions. To determine substrate feeding in a fed-batch bioreactor, a simulated annealing (SA) approach was examine...

We study statistical inference and distributionally robust solution methods for stochastic optimization problems, focusing on confidence intervals optimal values solutions that achieve exact coverage asymptotically. develop a generalized empirical likelihood framework—based distributional uncertainty sets constructed from nonparametric f-divergence balls—for Hadamard differentiable functionals,...