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In this paper, we propose an Activity-List based Nested Partitions algorithm for solving the Resource-Constrained Project Scheduling Problem(RCPSP). This algorithm is based on traditional Serial Scheduling scheme (SSS) and partitions the feasible solution space which is formulated by activity-lists into subregions by the nested partitions approach. We also utilize Double Justification as local search...
An approach with decomposition on time windows is proposed to solve resource-constrained project scheduling problem (RCPSP) in this paper. This approach is to decompose the feasible space calculated by CPM of the original problem into some subspaces, which are searched using some schedule schema. Double justification is also performed in the search to improve the results. The results of experiments...
Attribute reduction is one of the kernel components in the rough set theory, which has been successfully applied in many fields. This paper firstly analyzes the major drawbacks that most of the current algorithmic approaches hold. Then it proposes a novel heuristic algorithm, which redefines the significance function of attributes using mutual information and conditional entropy. Also this paper considers...
Fuzzy clustering analysis is a widely used fuzzy mathematics method ,which could be applied in various fields. Based on the fuzzy set theory, application of fuzzy clustering analysis in microbial enhanced oil recovery (MEOR) was studied. At first, strains which had ability to produce biosurfactant were selected as part of the statistical indicators. Then data were corrected and standardized by empirical...
Wavelet shrinkage is an image denoising technique based on the concept of thresholding the wavelet coefficients. The key challenge of wavelet shrinkage is to find an appropriate threshold value, which is typically controlled by the signal variance. To tackle this challenge, a new image shrinkage approach is proposed in this paper by using a variance field diffusion, which can provide more accurate...
This paper addresses the super-resolution image reconstruction problem with the aim to produce a higher-resolution image based on its low-resolution counterparts. The proposed approach adaptively adjusts the degree of regularization using the saliency measure of the local content of the image. This is in contrast to that a spatially-invariant regularization is used for the whole image in conventional...
With the construction and perfection of china's market economy, higher education in china has developed fast and correspondingly resource distributing of higher education has changed a lot. China has transferred its economic mechanism from plan system to market economy, in which market has been a main resource distribution method. Market is the most effective way and has its advantage in distributing...
Wavelet-based image interpolation typically treats the input image as the low-pass filtered subbands of an unknown wavelet-transformed high-resolution image, and then produces the unknown high-resolution image by estimating the wavelet coefficients of the high-pass filtered subbands. The major challenge is to exploit the inter-scale correlation among the wavelet coefficients. In contrast to that the...
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