An improved reptile search algorithm based on mathematical optimization accelerator and elementary functions
Authors: Zheng, Yue | Xing, Cheng | Wang, Jie-Sheng | Song, Hao-Ming | Bao, Yin-Yin | Zhang, Xing-Yue
Article Type: Research Article
Abstract: The reptile search algorithm (RSA) is a dynamic and effective meta-heuristic algorithm inspired by the behavior of crocodiles in nature and the way of hunting prey. Unlike other crawler search algorithms, it uses four novel mechanisms to update the location of the solutions, such as walking at high or on the belly, and hunting in a coordinated or cooperative manner. In this algorithm, the total number of iterations is divided into four intervals, and different position-updating strategies are used to make the algorithm easily fall into the local optimum. Therefore, an improved reptile search algorithm based on a mathematical optimization …accelerator (MOA) and elementary functions is proposed to improve its search efficiency and make it not easily fall into local optimum. MOA was used to realize the switching of RSA’s four searching modes by introducing random perturbations of six elementary functions (sine function, cosine function, tangent function, arccosine function, hyperbolic secant function and hyperbolic cosecant function), four mechanisms are distinguished by random number instead of the original RSA algorithm’s inherent four mechanisms by iteration number, which increases the randomness of the algorithm and avoids falling into local optimum. The random perturbations generated by elementary functions are added to the variation trend of parameter MOA to improve the optimization accuracy of the algorithm. To verify the effectiveness of the proposed algorithm, 30 benchmark functions in CEC2017 were used for carrying out simulation experiments, and the optimization performance was compared with BAT, PSO, ChOA, MRA and SSA. Finally, two practical engineering design problems are optimized. Simulation results show that the proposed sechRSA has strong global optimization ability. Show more
Keywords: Reptile search algorithm, mathematically optimized accelerator, elementary function, function optimization, engineering optimization
DOI: 10.3233/JIFS-223210
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 3, pp. 4179-4208, 2023
Buoyancy energy driven archimedes optimization algorithm based on Lévy flight and tangent flight
Authors: Li, Song | Wang, Jie-Sheng | Song, Hao-Ming | Zheng, Yue | Zhang, Xing-Yue
Article Type: Research Article
Abstract: Archimedes optimization algorithm (AOA) is a metaheuristic algorithm inspired by the Archimedes physical law. It simulates the principle of buoyancy applied upward to partially or completely submerged objects. The decay energy of buoyancy, Lévy flight and Tangent flight are introduced into AOA. The buoyancy energy is adopted as the judgment condition of global search and local search. Then the location updating methods based on Lévy flight and Tangent flight are proposed so as to enhance its ergodicity and unrepeatable, improve the convergence speed and accuracy. Finally, through a large number of simulation experiments on 25 benchmark functions in CEC-BC-2017, the …improved AOAs are compared to show their advantages and disadvantages. On the other hand, two engineering design problems (pressure vessel design and spring design problem) are optimized. The experimental results show that the AOA based on buoyancy energy mixed Lévy flight and Tangent flight can solve the function optimization and engineering optimization problems well. It has the strong balance between exploration and exploitation, fast convergence speed and high search accuracy. Show more
Keywords: Archimedes optimization algorithm, buoyancy energy, Lévy flight, tangent flight
DOI: 10.3233/JIFS-221039
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 7173-7197, 2022
Prevalence, Risk Factors, and Complaints Screening Tool Exploration of Subjective Cognitive Decline in a Large Cohort of the Chinese Population
Authors: Hao, Lixiao | Wang, Xiaoni | Zhang, Ling | Xing, Yue | Guo, Qihao | Hu, Xiaochen | Mu, Bin | Chen, Yili | Chen, Guanqun | Cao, Jing | Zhi, Xiaodong | Liu, Jiaojiao | Li, Xuanyu | Yang, Liu | Li, Jiachen | Du, Wenying | Sun, Yu | Wang, Ting | Liu, Zhen | Liu, Zheng | Zhao, Xuexue | Li, Hongyan | Yu, Yang | Wang, Xue | Jia, Jianguo | Han, Ying
Article Type: Research Article
Abstract: Background: Substantial studies have reported the prevalence and the affecting factors of subjective cognitive decline (SCD). The complaints screening scale has also been used for probing. However, little is known in China. Objective: To investigate the prevalence and risk factors of SCD, and explore an SCD complaints screening scale in China. Methods: Stratified cluster random sampling was conducted. 2,689 residents aged 60–80 years completed questionnaire 1. 814 residents were included for clinical and neuropsychological evaluations. Two standards were used to make the diagnosis of mild cognitive impairment (MCI) and SCD, and a preliminary screening rate comparison was carried out. Finally, …we assessed the risk factors of SCD and the correlation between the SCD-questionnaire 9 (SCD-Q9) and the Auditory Verbal Learning Test-Long Delay Free Recall (AVLT-LR). Results: 1) Standard 1 (ADNI2): the prevalence of SCD was 18.8% (95% CI = 14.7–22.9%) and zero conformed to six criteria (SCD plus). 2) Standard 2 (Jak/Bondi): the prevalence of SCD was 14.4% (95% CI = 10.7–18.1%). 3) Standard 1 had a relatively higher “false” positive rate, whereas Standard 2 had higher “false” negative rate. 4) Age, low education, fewer close friends, and daily drinking were independent risk factors for SCD progressing to MCI. 5) Total points of SCD-Q9 were negatively correlated to the value of AVLT-LR. Conclusions: The prevalence of SCD is high in the ShunYi District in Beijing, China. Age, low education, less social support, and daily drinking are independent risk factors. The brief SCD-Q9 can be used as a reference. Show more
Keywords: Alzheimer’s disease, prevalence, risk factors, SCD-Q9, subjective cognitive decline
DOI: 10.3233/JAD-170347
Citation: Journal of Alzheimer's Disease, vol. 60, no. 2, pp. 371-388, 2017