作者机构：
[Shu H.; Lyu X.; He Z.; Zhou K.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China;[Zhou J.] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China;[Li G.] Qianjiang Jujin Rice Industry Co., Ltd., Enterprise-School Joint Innovation Center, Hubei, China
会议名称：
15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
会议时间：
23 October 2020 through 25 October 2020
关键词：
Evolutionary Algorithm;Tissue P systerm;Tri-objective VRPTW
作者机构：
[Yang H.; Kang Z.; He Z.; Shang X.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China;[Zhou J.] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China;[Li G.] Enterprise-School Joint Innovation Center, Qianjiang Jujin Rice Industry Co., Ltd., Hubei, China
会议名称：
15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
会议时间：
23 October 2020 through 25 October 2020
关键词：
Data-driven;Multi-objective optimization;Quality standard;Quick-frozen rice dumplings;Special raw materials
期刊：
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY,2021年69(32):9102-9110 ISSN：0021-8561
通讯作者：
Wenjing Huang<&wdkj&>Gaofu Qi<&wdkj&>Gan Lu<&wdkj&>Xiangliang Yang
作者机构：
College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, People’s Republic of China;[Lang, Yan; Lu, Gan; Yang, Xiangliang] National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People’s Republic of China;[Zeng, Zhujun; Qi, Gaofu] College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, People’s Republic of China;[Xiang, Xia] Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan, Hubei 430062, People’s Republic of China;[Huang, Wenjing] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, People’s Republic of China<&wdkj&>National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People’s Republic of China
通讯机构：
[Wenjing Huang; Gaofu Qi] C;[Gan Lu; Xiangliang Yang] N;College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, People’s Republic of China<&wdkj&>National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People’s Republic of China<&wdkj&>National Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, People’s Republic of China<&wdkj&>College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, People’s Republic of China
会议名称：
5th International Symposium on Lipid Science and Health (ISLSH)
摘要：
In recent decades, epidemiological, clinical, and experimental studies have demonstrated that a diet with antioxidant or anti-inflammatory function plays a central role in the prevention of atherosclerosis (AS). The purpose of this study was to explore the effects of Cannabis seed oil (CO) administration on in vitro antioxidant capacity as well as blood lipid profiles, lipid peroxidation, inflammatory response, and endothelial cell integrity. Female ApoE(-/-) mice were fed a high-cholesterol diet and administrated with CO or phosphate-buffered saline (PBS) and seal oil by gavage for 8 weeks. The results show that CO administration reduced the levels of serum triglycerides and low-density lipoprotein cholesterol at week 6. Additionally, a decrease in serum tumor necrosis factor α and nitric oxide was also observed. Moreover, results from CD31 staining and scanning electron microscopy revealed that CO treatment alleviated the endothelial cell damage and lipid deposition induced by a high-cholesterol diet. The ratio of lesion area to the total aorta area was 19.57% for the CO group, which was lower than the PBS control group (24.67%). Collectively, CO exerted anti-atherosclerotic effects by modulating serum lipid profiles and inflammatory responses and improving endothelial cell integrity and arterial lipid deposition. The results provide a promising preventive strategy for the early progression of AS.
作者机构：
[He Z.; Hu X.; Zhou K.; Shu H.; Yang H.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China;[Zhou J.] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China;[Li G.] Qianjiang Jujin Rice Industry Co., Ltd., Enterprise-School Joint Innovation Center, Hubei, China
会议名称：
15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
会议时间：
23 October 2020 through 25 October 2020
关键词：
Grain dispatching and transportation;M-MOEA/D;Tissue-like P system;VRPTW
关键词：
Hyperspectral unmixing;weight-sharing architecture;stick-breaking process;Dirichlet distribution
摘要：
Recently, the learning-based method has received much attention in the unsupervised hyperspectral unmixing, yet their ability to extract physically meaningful endmembers remains limited and the performance has not been satisfactory. In this paper, we propose a novel two-stream Dirichlet-net, termed as uTDN, to address the above problems. The weight-sharing architecture makes it possible to transfer the intrinsic properties of the endmembers during the process of unmixing, which can help to correct the network converging towards a more accurate and interpretable unmixing solution. Besides, the stick-breaking process is adopted to encourage the latent representation to follow a Dirichlet distribution, where the physical property of the estimated abundance can be naturally incorporated. Extensive experiments on both synthetic and real hyperspectral data demonstrate that the proposed uTDN can outperform the other state-of-the-art approaches.
摘要：
This paper presents a two-stage multi-objective evolutionary algorithm based on classified population (TSCEA) to solve vehicle routing problem with time windows (VRPTW). It is a well-known NP-hard discrete optimization problem with three objectives: to minimize the total distance cost, to minimize the number of vehicles, and to optimize the balance of routes within a limited time. For TSCEA, there are two stages: In the first stage, a population is explored using the proposed algorithm and then classified according to the number of vehicles, we call this process population classification; In the second stage, Pareto solution set of tri-objective VRPTW is obtained by optimizing the classified population again. The advantages of classified population structure are that for the first stage, this population that the number of vehicles of each individual is in this range composed of the upper and lower bounds of vehicles can be classified as different small populations with the same number of vehicles. Due to the evolution of small population, Pareto solution set with better extensibility can be searched. For the second one, it can reduce the dimension of tri-objective function, that is, three objective functions can be reduced to two objective functions because one of them has been identified in the first stage. Moreover, to resolve the nonlinear discrete problems, the computational approach of crowding degree is modified. The paper chooses Solomon benchmark instances as testing sets and the simulated results show that TSCEA outperforms the compared algorithms in terms of quality or extension, which verified the feasibility of the algorithm in solving tri-objective VRPTW.
作者机构：
[He Z.; Hu X.; Zhou K.; Shu H.] College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, 430023, China;[Zhou J.] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China;[Li G.] Enterprise-School Joint Innovation Center, Qianjiang Jujin Rice Industry Co., Ltd., Hubei, China
会议名称：
15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
会议时间：
23 October 2020 through 25 October 2020
关键词：
Data analysis;Grain transportation;Harmony search algorithm;Multi-objective optimization;Neighborhood search
作者机构：
[Liu, Zhenqi] University of Sheffield, Automatic Control and Systems Engineering, South Yorkshire, Sheffield, United Kingdom;[Liu, Changhua; Chen, Jiaxi] School of Mathematics and Computer Science, Wuhan Polytechnic University, Hubei, Wuhan, China
会议名称：
5th International Conference on Computer Science and Application Engineering, CSAE 2021
