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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
A recognition algorithm for similar characters on license plates based on convolution neural networks (CNN) is proposed in this study to improve the recognition rate in a complex environment. The algorithm adopts the improved CNN to recognize similar letters and numbers in license plate images. Experimental results suggest that the improved CNN may improve the recognition rate and speed of similar...
The main goal of this research is to find a solution of distance constrained aerial vehicle routing problem using genetic algorithm based on the minimum spanning tree heuristic. As the lower bound of vehicle routing problem, the minimum spanning tree provides a natural heuristic for the searching of routes. It is used in generating the initial population and designing of the reorganization crossover...
Reasonable network structure can obviously improve the learning speed and generalization ability of BP network. In this paper, an improved method to determine the number of hidden layer neurons is proposed. The method mainly takes the theory of linear correlation analysis to delete the redundant nodes and assign the weights related to others. What's more, genetic algorithm is used to optimize the...
In the past decades, divisible load scheduling has become an increasingly concerned field in the research of computer science. At the same time, the total system cost of data center has received worldwide attention, and the concept of green computing has been put forward. This paper investigates an cost-efficient divisible load scheduling using genetic algorithm. It focuses on finding an efficient...
ENHMM, Evaluation model of Web service health level, is constructed based on multidimensional network performance. The model supports to customize evaluation factors dynamically, and gives the methods of active measurement for the network performance based on the evaluation attributes. To evaluation algorithm, AiNet immune algorithm is used, in which a new mechanism of antibody promotion and suppression...
UAV has been more and more applied in the military and civil domain. It needs to have the capability to perform some autonomous tasks to ensure its mission's success under the complex electromagnetic conditions. However most of existing researches are at the laboratory level and do the special case studies. Intelligence computing technology, as a basic and universal technology, should be focused on...
In the procedure of China's market-oriented reforms of interest rates, the interest-rate risk becomes increasingly apparent. Analyzing the existing studies and the interbank offered rate trend, this paper finds that LS-SVM, which is short for Least Squares Support Vector Machines, is excel in nonlinear data approximation, which is suitable for interest rate forecasting. Firstly, the paper established...
A memory based differential evolution algorithm is adapted in this paper to solve Dynamic Constrained Optimization Problems. The approach is based on a mechanism to utilize the useful past information based on the problem special characteristics. A hybrid memory scheme combined short-term and long term memory is adopted based on this approach and reuses the best feasible individual and the best relaxed...
It is NP-hard problem of predicting RNA structure with pseudoknots. According to minimum free energy models and computational methods, we investigate the RNA pseudoknotted structure. The paper present an efficient algorithm for predicting RNA structure with pseudoknots, and the algorithm takes O (n3) time and O (n2) space. The experimental tests in Rfam10.1 and Pseudo Base indicate that the algorithm...
A linear bilevel programming problem can be reformulated as a single level mathematical program with complementarity constraints, which in turn is equivalent to a mixed integer (0-1) linear programming problem. A binary differential evolution algorithm with a linear programming solver is developed to solve the mixed integer (0-1) linear programming problem. The computational results show the efficiency...
This paper, based on the concern that a large quantity of affected spots, relatively concentrated distribution and a small quantity of emergency materials in the affected area. It addresses an optimized mathematical model and presents a new optimal vehicle routing on emergency relief materials with the goals of the shortest transport time in emergency materials allocation. Firstly the K-means clustering...
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