Optimal parameters estimation and input subset for grey model based on chaotic particle swarm optimization algorithm

Using a Grey–Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China

“…Ze Zhao et al (2012) used a grey forecasting model optimized by a differential evolution algorithm to forecast the per capita annual net income of rural households in China. Jianzhou Wang, Zhu, Zhao, and Zhu et al (2011), Zhilong Wang,Liu, Wu, and Wang et al (2012 presented an optimal parameters estimation for the grey model based on a chaotic particle swarm optimization algorithm (CPSO).…”

Combined fitness function based particle swarm optimization algorithm for system identification

“…Typically they are both suggested to be 2.0 (Pedrycz, Park, & Pizzi, 2009;Tang et al, 2010;Tian & Lai, 2014;Wang et al, 2011;Xi et al, 2008). However, Xi et al (2008) also states that assigning different values to c 1 and c 2 sometimes leads to better performance.…”

“…The acceleration coefficients c 1 ; c 2 can be used to control how far a particle will move in a single iteration and thus may exert an great influence on the convergence speed of PSO (Wang, Zhu, Zhao, & Zhu, 2011;Xi et al, 2008). Typically they are both suggested to be 2.0 (Pedrycz, Park, & Pizzi, 2009;Tang et al, 2010;Tian & Lai, 2014;Wang et al, 2011;Xi et al, 2008).…”

A Novel Grey Prediction Model Combining Markov Chain with Functional-Link Net and Its Application to Foreign Tourist Forecasting

“…As the system develops further, the significance of the older data reduces [9,48]. Therefore, the training data, retained after rolling, were applied to the SGM(1,1), MCSGM(1,1) and CMCSGM(1,1) models.…”