Global Analysis and Discrete MathematicsGlobal Analysis and Discrete Mathematics
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Feed provided by Global Analysis and Discrete Mathematics. Click to visit.An Effective Algorithm in a Recommender System Based on a Combination of Imperialist ...
http://gadm.du.ac.ir/article_69_19.html
With the rapid expansion of the information on the Internet, recommender systems play an important role in terms of trade and research. Recommender systems try to guess the user's way of thinking, using the in-formation of user's behavior or similar users and their views, to discover and then propose a product which is the most appropriate and closest product of user's interest. In the past decades, many studies have been done in the field of recommender systems, most of which have focused on designing new recommender algorithms based on computational intelligence algorithms. The success of a recommender system besides the quality of the algorithm depends on other factors such as: Sparsity, Cold start and Scalability in the performance of a recommender system, which can affect the quality of the recommendation. Consequently, the main motivation for this research is to providing an effective meta heuristic algorithm based on a combination of imperialist competitive and firefly algorithms using clustering technique. The simulation results of the proposed algorithm on real data sets Move Lens and Film Trust have shown better forecast accuracy in the item recommendation to users than other algorithms presented in subject literature. Also the proposed algorithm can choose appropriate items among the wide range of data and give it to output in a reasonable time.Sun, 30 Apr 2017 19:30:00 +0100Solving an Inverse Heat Conduction Problem by Spline Method
http://gadm.du.ac.ir/article_70_19.html
In this paper, a numerical solution of an inverse non-dimensional heat conduction problem by spline method will be considered. The given heat conduction equation, the boundary condition, and the initial condition are presented in a dimensionless form. A set of temperature measurements at a single sensor location inside the heat conduction body is required. The result show that the proposed method can predict the unknown parameters in the current inverse problem with an acceptable error.Sun, 30 Apr 2017 19:30:00 +0100Markov Chain Anticipation for the Online Traveling Salesman Problem by Simulated Annealing Algorithm
http://gadm.du.ac.ir/article_71_19.html
The arc costs are assumed to be online parameters of the network and decisions should be made while the costs of arcs are not known. The policies determine the permitted nodes and arcs to traverse and they are generally defined according to the departure nodes of the current policy nodes. In on-line created tours arc costs are not available for decision makers. The on-line traversed nodes are fixed and unchangeable for the next times. A discrete time Markov chain is established in on-line policy times. Then, the best state is selected to traverse the next node by a simulated annealing heuristic.Sun, 30 Apr 2017 19:30:00 +0100