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- 저자 : Jiawen Song (검색결과 5 건)
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Song Jiuman,Chen Chengcheng,Heidari Ali Asghar,Liu Jiawen,Yu Helong,Chen Huiling 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.2
Swarm salp algorithm is a swarm intelligence optimization algorithm enlightened by the movement and foraging behaviors of the salp population. The salp swarm algorithm (SSA) has a simple structure and fast processing speed and can gain significant results on objective functions with fewer local optima. However, it has poor exploration ability and is easy to suffer from the local optimal solutions, so it performs poorly on multimodal objective functions. Besides, its unfair balance of exploration and exploitation is another notable shortcoming. To ameliorate these shortcomings and enhance the algorithm’s performance on multimodal functions, this research proposes simulated annealing (SA) improved salp swarm algorithm (SASSA). SASSA embeds the SA strategy into the followers’ position updating method of SSA, performs a certain number of iterations of the SA strategy, and uses Lévy flight to realize the random walk in the SA strategy. SASSA and 23 original and improved competitive algorithms are compared on 30 IEEE CEC2017 benchmark functions. SASSA ranked first in the Friedman test. Compared with SSA, SASSA can obtain better solutions on 27 benchmark functions. The balance and diversity experiment and analysis of SSA and SASSA are carried out. SASSA’s practicability is verified by solving five engineering problems and the fertilizer effect function problem. Experimental and statistical results reveal that the proposed SASSA has strong competitiveness and outperforms all the competitors. SASSA has excellent exploration ability, suitable for solving composition functions with multiple peaks. Meanwhile, SASSA brings about a good balance of exploration and exploitation and dramatically improves the quality of the solutions.
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Adaptive Fault-tolerant Control of Alien Species Invasion Based on Sliding Mode
Jiawen Li,Yi Zhang,Yingying Nie,Song Yang 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.12
This paper studies the adaptive fault-tolerant control problem for biological systems with the invasion of alien species. Firstly, to overcome the difficulty of dealing with nonlinear terms in the system, the T-S fuzzy method is applied to obtain the T-S fuzzy biological systems. Then, an augmented matrix is developed for the T-S fuzzy system, and a sliding mode observer is constructed to estimate the state vector, sensor faults, sensor failure and external disturbances. In addition, an observer-based adaptive sliding-mode control law is designed to ensure the stability of the closed-loop biological system. Finally, a simulation example is presented to illustrate the effectiveness of the proposed method.
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Short-Term Photovoltaic Power Generation Forecasting Based on Environmental Factors and GA-SVM
Jidong Wang,Ran Ran,Zhilin Song,Jiawen Sun 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.1
Considering the volatility, intermittent and random of photovoltaic (PV) generation systems, accurate forecasting of PV power output is important for the grid scheduling and energy management. In order to improve the accuracy of short-term power forecasting of PV systems, this paper proposes a prediction model based on environmental factors and support vector machine optimized by genetic algorithm (GA-SVM). In order to improve the prediction accuracy of this model, weather conditions are divided into three types, and the gray correlation coefficient algorithm is used to find out a similar day of the predicted day. To avoid parameters optimization into local optima, this paper uses genetic algorithm to optimize SVM parameters. Example verification shows that the prediction accuracy in three types of weather will remain at between 10% -15% and the short-term PV power forecasting model proposed is effective and promising.
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Atractylenolides (I, II, and III): a review of their pharmacology and pharmacokinetics
Mao Deng,Huijuan Chen,Jiaying Long,Jiawen Song,Long Xie,Xiaofang Li 대한약학회 2021 Archives of Pharmacal Research Vol.44 No.7
Atractylodes macrocephala Koidz is a widelyused as a traditional Chinese medicine. Atractylenolides(-I, -II, and -III) are a class of lactone compounds derivedfrom Atractylodes macrocephala Koidz . Research intoatractylenolides over the past two decades has shown thatatractylenolides have anti-cancer, anti-infl ammatory, antiplatelet,anti-osteoporosis, and antibacterial activity; protectthe nervous system; and regulate blood glucose and lipids. Because of structural diff erences, both atractylenolide-I andatractylenolide-II have remarkable anti-cancer activities,and atractylenolide-I and atractylenolide-III have remarkableanti-infl ammatory and neuroprotective activities. Wetherefore recommend further clinical research on the anticancer,anti-infl ammatory and neuroprotective eff ects ofatractylenolides, determine their therapeutic eff ects, aloneor in combination. To investigate their ability to regulateblood glucose and lipid, as well as their anti-platelet, antiosteoporosis,and antibacterial activities, both in vitro andin vivo studies are necessary. Atractylenolides are rapidlyabsorbed but slowly metabolized; thus, solubilization studiesmay not be necessary. However, due to the inhibitory eff ectsof atractylenolides on metabolic enzymes, it is necessaryto pay attention to the possible side eff ects of combiningatractylenolides with other drugs, in clinical application. Inshort, atractylenolides have considerable medicinal valueand warrant further study.
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