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In allusion to similarity calculation difficulty caused by high maintenance of image data, this paper introduces sparse principal component algorithm to figure out embedded subspace after dimensionality reduction of image visual words on the basis of traditional spectral hashing image index method so that image high-dimension index results can be explained overall. This method is called sparse spectral...
Traveling salesman problem is one of most famous problems in Combinatorial Optimization. This paper presents a case study of ANJI-CEVA AUTOMOTIVE LOGISTICS CO., LTD. We formulated their problem as a traveling salesman problem and, with the use of relative coordinates of the locations as problem parameters, solved the traveling salesman problem by simulated annealing and our final solution is shown...
This study proposes a new inventory model of deteriorating items with price reduction and backlog. In this paper, both pricing and backlog are considered. It proposes the solution procedure for the new model, and conducts one numerical example to verify the effectiveness of the new inventory model. Finally, it provides some potential issues for future research.
In this study, we combine improved AHP with fuzzy evaluation to make a location decision. Specifically, it firstly introduced a new improved AHP with fuzzy methods, which changes the traditional scale from 1–9 to 0–2, and it is convenient to score the indicator system for experts, then conducted an empirical analysis to choose the candidate location for Haitong Port Parts Center, and finally proved...
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