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How the hotspot or congestion area evolves in a large scale complex networks is still not clear. The prediction of such behavior is more difficult. In this paper, the classical Fast-Newman algorithms for community detection is improved by considering node weight and edge weight in the network model. The evolution of the communities are reconstructed from the network trace. The relation between the...
An improved particle swarm optimization (IPSO) algorithm is proposed for solving traveling salesman problem (TSP) which is a well-known NP-complete problem. Based on the different experimental results, this paper analysis the parameters influences to the algorithm optimization ability. The IPSO algorithm can get a better global optimum in multiple TSP problems by setting the proper parameters. Numerical...
An improved particle swarm optimization (IPSO) algorithm was proposed. In the basic particle swarm optimization (PSO) algorithm, the tentative behavior of individuals and the mutation of velocity have been introduced, according to the law of evolutionary process. Using the single node adjustment algorithm, each particle searches the neighbor area by itself at every generation after general steps....
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