Advancing Computing, Communication, Control and Management by Liang Jun, Xianyi Cheng, Xiaobo Chen (auth.), Qi Luo (eds.)

By Liang Jun, Xianyi Cheng, Xiaobo Chen (auth.), Qi Luo (eds.)

This quantity comprises revised and prolonged learn articles written by way of sought after researchers engaging within the convention. subject matters lined contain clever computing, community administration, instant networks, telecommunication, strength engineering, keep watch over engineering, sign and picture Processing, desktop studying, keep an eye on structures and purposes, The booklet will provide the states of arts of great advances in Computing, communique, keep an eye on, and administration and in addition function a great reference paintings for researchers and graduate scholars engaged on Computing, verbal exchange, keep an eye on, and administration Research.

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It is not convenient to use. The literature [10] set Z to zero and removed the speed term in equation (1), which lead to weaken the global searching ability. At each generation, at least one particle is at the optimal position. Using stopping evolution particle to improve the global searching ability is the basic thought of literature [10]. Although it is proved that the algorithm can converges to the global optimum in probability 1, In fact, PSO is a hybrid algorithm based on genetic algorithm and simulated annealing algorithm.

Although the article proved that PSO is convergent as long as the parameters meet the above conditions, it cannot ensure that PSO converges to the global optimum. The experiment proved that particles would congregated if premature convergence or global convergence appears [9]. The particles will gather in a particular location or several specific locations, which mainly depend on the own characteristics and fitness value function. Literature [9] proved in theory that the consistent position of the particles equivalent to the same fitness.

Aiming at the shortcoming that obtained from comprehensive evaluation by principal component analysis, this paper points out the method of based on the EXCEL/VBA one-click technology to achieve principal component comprehensive evaluation. Namely, according to the algorithm of Eigenvalue and Eigenvector with the function in Excel-macro, in this article, an easy-to-implement solution to comprehensive evaluation by principal component analysis with VBA in Microsoft EXCEL is provided, which makes users be completely free from manual operation.

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