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Influence maximization modeling and analyzing is an important problem in Online Social Networks (OSNs). Influential nodes provide information on hot topics and forward interesting information, which can yield great influence on other nodes in OSNs. For word-of-mouth viral marketing, it is critical to find influential nodes within budgets. However, finding the optimal solution to maximize the influence...
This paper is to explore new improved graded rough set model. Based on logical OR operation of grade approximation operators, this paper proposes logical OR model of grade approximation operators. In the new model, basic structure and properties are obtained, and macroscopic algorithm and structural algorithm are proposed. Finally logical OR model of grade approximation operators, is explained by...
The paper is to explore product operation of grade upper approximation operators. Based on logical product operation, it proposes product model of grade upper approximation operators based on two parameters. Essence, basic structure and properties are obtained in the new model. Macroscopic algorithm and structural algorithm are proposed and analyzed, and it obtains an important conclusion that structural...
A mathematic model for multi-objective bus route optimization based on the date of a bus corporation and limited conditions in the route network is developed on account of route optimization of bus dispatching. MAX-MIN Ant System is used to improve the global searching ability of ant colony algorithm and the improved algorithm is applied to solve the problem and its global optimization is obtained...
Selection problem, which is to find the kth smallest element in a sequence of n numbers in arbitrary order, is a typical problem in algorithm design and analysis. The select problem is solved by divide and conquer algorithm. The general algorithm is given, and the complexity of this algorithm is analyzed and discussed. The divide and conquer algorithms are related to backfitting and Markov chain Monte...
Traffic simulation based on multi-agents is popular for modern traffic issues. An intersection-centric routing algorithm of traffic simulation system is proposed by us before. When simulating vehicles in a large scale, controllable priority is important for urgent or special vehicles. Priority guarantee should be considered into algorithm. Algorithm could run on intersection for priority. Referenced...
This paper presents a global optimal technique based on moving least square (MLS) fitting technique and improved differential evolution algorithm (IDEA) for inverse problems on optimizing electromagnetic equipments. In the proposed method, MLS are firstly used to simulate complex objective functions as a response surface model (RSM) in multidimensional space, for transforming an implicit function...
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