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Normal equitable total coloring algorithm of random graphs
YIN Bo, LI Jingwen, DAI Sumin, HU Tengyun
Journal of Computer Applications    2015, 35 (8): 2140-2146.   DOI: 10.11772/j.issn.1001-9081.2015.08.2140
Abstract451)      PDF (847KB)(403)       Save

The research on the equitable total coloring is limited to some special graphs such as complete-graph and join-graph. For the normal equitable total coloring of the simple connected graph, there is not any feasible method in the published paper. In order to research the equitable total coloring of the normal graph, a new heuristic intelligent algorithm was proposed according to four constraint rules including vertex constraint rule, edge constraint rule, vertex-edge constraint rule and equitable constraint rule of the equitable total coloring. First, four sub-functions and one total function were ascertained. Second, by using the dyeing matrix and complementary matrix in each sub-function, the iterative exchange did not stop until each sub-function value was zero, that meant the subgoal-coloring was completed. If each sub-function value was 0, the total function value was 0, which meant coloring was successful. The experimental results show that the proposed algorithm can generate all of the simple connected graphs in which the number of vertices is no more than 8, and it can achieve the corresponding coloring, and then obtains the equitable total chromatic number. Also when any positive integer k is not less than 3 and not more than 9, random graph G has k-equitable total coloring. At the same time, the proposed algorithm chooses 72 graphs whose vertex number is between 20 and 400, and draws the diagram about the vertex number, edge number and color number according to the equitable total coloring results.

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Improved FP-Growth algorithm and its applications in the business association
ZHAO Xiao-Min 赵孝敏 HE Song-Hua LI Xian-Peng YIN Bo
Journal of Computer Applications   
Abstract1976)      PDF (1036KB)(982)       Save
The FP-Growth algorithm, based on FP-Tree, needs to create a large number of conditional FP-Trees recursively in the process of mining frequent patterns. It is not efficient and not good to apply in mobile communication business cross-selling, in which the association rules mining is business-constraint. Therefore, an items-constraint frequent pattern tree ICFP-Tree and a new ICFP-Mine algorithm which directly mines in the tree were proposed. Theoretical analysis and experimental results show that the ICFP-Mine algorithm is superior to FP-Growth algorithm in memory occupancy and time costs. It has achieved better results in the field of mobile communication business cross-selling applications.
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