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This paper considers the flowline manufacturing cell scheduling problem(FMCSP) with sequence dependent family setup times(SDFSTs) for makespan minimization. Based on the characteristics of this problem, hybrid harmony search (HHS) is proposed. It uses iterative optimizing algorithm to enhance the quality of the solution and applies a simple discarding strategy to avoid the algorithm converging quickly...
Primary frequency regulation plays a significant role in power system frequency control. As a result of the separation of plant and grid, it becomes necessary for the grid to monitor the primary frequency performance of generators. This paper designs an online evaluation system of primary frequency regulation based on WAMS. Firstly, the evaluation indices system is proposed, which assesses the primary...
The design of adaptive test paper composition algorithm based on the item response theory is proposed and the ultimate goal of adaptive test is to measure the candidates' potential accurately. According to the item response theory, candidates' testing behavior is the reflection of their potential language ability and a potential of a candidate can be estimated directly by his/her item response together...
There is an improved algorithm of the matching of prefix and suffix BM strings is proposed. The algorithm becomes more efficient by combining the prefix and the location information of the next character of the current window, trying more location movements with the existing information. Experiments show that this algorithm is better than BM algorithm. Furthermore, an algorithm of subjective items...
This paper based on the results of the data, which are selected from villa topographic data and pre-processed. The paper includes the cluster of spatial location and the calculation of villa area parameters. The idea of cluster in data mining is adopted to analyze the results of pre-process. The cluster finished the transform from continuous region to continuous area through discretization. Small...
In this paper, operators are encapsulated by services in algorithms for large-scale optimization problems and the services are deployed in distributed systems. Response time is an important factor for the performance of cooperative services. The message parse time is analyzed. Initial service accessing time is the main overhead for service calling. To decrease both the initial time and the response...
The cluster approach is one of the basic methods to pattern classification and system modeling. The clustering target is that according to some rules, divide the sample data set in the sample space into some subsets indicating different patterns or system behavior[1]. In the course of establishing the video image indexing, every step from building index according to the basic visual characters of...
Distance Education retrieval is the most striking image retrieval and video retrieval, this paper presents a distance-oriented multimedia information retrieval system of multi-modal, and in the application of SVM support vector machine relevance feedback algorithm image classification conducted a preliminary attempt.
Image segmentation is an important image analysis technique, the segmentation result of which is critical to determine the performance of high-level modules in image processing system. After a brief introduction LLT image segmentation algorithm, focusing on analysis of the inadequacies of LLT algorithm, propose an improved ILLT image segmentation algorithm. Experiments show that the algorithm improves...
This paper provides a survey of current clustering analysis in image Indexing retrieval at first, then the problems to be solved and the new directions in the future in this domain are pointed out. In the end, it proposes a new clustering algorithm with the combination of k-means clustering algorithm , Genetic Algorithm and chaotic optimization a new idea of dimensionality reduction.
A few of classic thinning algorithms are presented. Combing with the advantages of the medial axis approach and the peeling approach, propose a new thinning algorithm, and it has been used to the car plate recognition system. The experiment shows that the new algorithm provides high implement efficiency, good thinning effect, greatly improving the whole performance of car plate recognition system.
The multilayer feedforward networks based on the back propagation with maximum likelihood principal component analysis (MLPCA-BP-MLFN) preprocessor were developed to analyze overlapping Osteryoung square wave voltammograms. The principal component analysis back propagation multilayer feed forward networks (PCA-BP-MLFN) and the Kernel Partial Least Squares (KPLS) method were also applied in this paper...
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