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Fuzzy particle swarm algorithm is a novel optimization method for solving real problems by using both the fuzzy rules and the characteristics of particle swarm algorithm. This paper solves the classical TSP by fuzzy particle swarm algorithm through series of typical instances. The computational results show the effectiveness and robustness of the algorithm in numerical simulation. It can find the...
In this paper, a growth competitive ant algorithm for solving TSP is presented. The proposed algorithm introduces a growth competitive rule of plants into the ant algorithm and gives analysis of convergence for the algorithm by using the random fixed point theory. The iterative process of finding solutions in the algorithm is the random compressive operator. The implemented algorithm is tested through...
Objective The different BP structures and algorithm of artificial neural network (ANN) are applied to seek the cholecystitis incidence rate forecasting method based on the meteorological data for 7 years in Haixizhou region, Qinghai province. Methods It is logical to select the three meteorological factors monthly mean temperature, mean pressure, mean relative humidity, as the input in the forecasting...
In this paper, a polynomial model was used to describe the phase of a frequency-shifted signal and the harmonic wavelet. The sine function was applied to the signal as a window function. The coefficient of the modified harmonic wavelet transform was used as a target function. We use the anneal-simulation arithmetic in finding the global maximum value of the target function. Then the parameter of the...
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