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RISS 인기검색어
- 검색키워드
- 저자 : Xiaowei Hai (검색결과 7 건)
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Optimization of Train Working Plan based on Multiobjective Bi-level Programming Model
Hai, Xiaowei,Zhao, Chanchan Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.2
The purpose of the high-speed railway construction is to better satisfy passenger travel demands. Accordingly, the design of the train working plan must also take a full account of the interests of passengers. Aiming at problems, such as the complex transport organization and different speed trains coexisting, combined with the existing research on the train working plan optimization model, the multiobjective bi-level programming model of the high-speed railway passenger train working plan was established. This model considers the interests of passengers as the center and also takes into account the interests of railway transport enterprises. Specifically, passenger travel cost and travel time minimizations are both considered as the objectives of upper-level programming, whereas railway enterprise profit maximization is regarded as the objective of the lower-level programming. The model solution algorithm based on genetic algorithm was proposed. Through an example analysis, the feasibility and rationality of the model and algorithm were proved.
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Xiaowei Hai,Tian Liao,Chanchan Zhao 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.4
Supply chain coordination plays a critical role in improving the enterprise performance and the competitiveadvantage of fresh e-commerce. This study explores the coordination problem of a two-echelon fresh producee-commerce supply chain comprising a fresh e-commerce enterprise and a fresh supplier in a novel framework. In this framework, the fresh e-commerce sells fresh produce and provides promotion effort; meanwhile, thefresh supplier deliveries fresh produce and provides freshness-keeping effort. Specifically, the optimal decisionsunder centralized and decentralized decision-making are compared, and it is found that centralized decisionmaking is more profitable. Based on this work, we created a cost-sharing and revenue-sharing combinationcontract. This study demonstrates that this contract effectively coordinates the supply chain and makes bothparties achieve Pareto optimization when the parameters meet certain conditions. Finally, the feasibility andvalidity of the contract are presented through a numerical example.
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Optimization of Train Working Plan based on Multiobjective Bi-level Programming Model
( Xiaowei Hai ),( Chanchan Zhao ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.2
The purpose of the high-speed railway construction is to better satisfy passenger travel demands. Accordingly, the design of the train working plan must also take a full account of the interests of passengers. Aiming at problems, such as the complex transport organization and different speed trains coexisting, combined with the existing research on the train working plan optimization model, the multiobjective bi-level programming model of the high-speed railway passenger train working plan was established. This model considers the interests of passengers as the center and also takes into account the interests of railway transport enterprises. Specifically, passenger travel cost and travel time minimizations are both considered as the objectives of upper-level programming, whereas railway enterprise profit maximization is regarded as the objective of the lower-level programming. The model solution algorithm based on genetic algorithm was proposed. Through an example analysis, the feasibility and rationality of the model and algorithm were proved.
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Xiaowei Yang,Cuihong Li,Hai Yu,Jinping Tang,Qinfang Wu,Wenjuan Qu 한국고분자학회 2023 Macromolecular Research Vol.31 No.8
Inflammatory bowel disease (IBD) is a kind of chronic inflammatory disease that is difficult to cure completely and may cause cancer. Modulating the intestinal flora is believed to be a feasible approach for IBD treatment. However, the traditional probiotics delivery systems often suffer from the inactivation caused by gastric acid. Herein, we proposed a novel probiotics-loaded microcapsule generated from a gas-assisted microfluidic platform. The microcapsules were composed of alginate shells and probiotics-containing cores, and exhibited good sphericity and biocompatibility, and had an average size of about 325 μm and a coefficient of variation of 2.57%. When the probiotics-loaded microcapsules were used for the IBD treatment of mice, they displayed good therapeutic effects in modulating oxidative stress and inflammation as well as protecting the intestinal barrier. These features indicate that the prepared probiotics-loaded microcapsules could be used as new materials for IBD treatment.
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A New Approach for Hierarchical Dividing to Passenger Nodes in Passenger Dedicated Line
Zhao, Chanchan,Liu, Feng,Hai, Xiaowei Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.3
China possesses a passenger dedicated line system of large scale, passenger flow intensity with uneven distribution, and passenger nodes with complicated relations. Consequently, the significance of passenger nodes shall be considered and the dissimilarity of passenger nodes shall be analyzed in compiling passenger train operation and conducting transportation allocation. For this purpose, the passenger nodes need to be hierarchically divided. Targeting at problems such as hierarchical dividing process vulnerable to subjective factors and local optimum in the current research, we propose a clustering approach based on self-organizing map (SOM) and k-means, and then, harnessing the new approach, hierarchical dividing of passenger dedicated line passenger nodes is effectuated. Specifically, objective passenger nodes parameters are selected and SOM is used to give a preliminary passenger nodes clustering firstly; secondly, Davies-Bouldin index is used to determine the number of clusters of the passenger nodes; and thirdly, k-means is used to conduct accurate clustering, thus getting the hierarchical dividing of passenger nodes. Through example analysis, the feasibility and rationality of the algorithm was proved.
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A New Approach for Hierarchical Dividing to Passenger Nodes in Passenger Dedicated Line
Chanchan Zhao,Feng Liu,Xiaowei Hai 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.3
China possesses a passenger dedicated line system of large scale, passenger flow intensity with unevendistribution, and passenger nodes with complicated relations. Consequently, the significance of passengernodes shall be considered and the dissimilarity of passenger nodes shall be analyzed in compiling passengertrain operation and conducting transportation allocation. For this purpose, the passenger nodes need to behierarchically divided. Targeting at problems such as hierarchical dividing process vulnerable to subjectivefactors and local optimum in the current research, we propose a clustering approach based on self-organizingmap (SOM) and k-means, and then, harnessing the new approach, hierarchical dividing of passengerdedicated line passenger nodes is effectuated. Specifically, objective passenger nodes parameters are selectedand SOM is used to give a preliminary passenger nodes clustering firstly; secondly, Davies–Bouldin index isused to determine the number of clusters of the passenger nodes; and thirdly, k-means is used to conductaccurate clustering, thus getting the hierarchical dividing of passenger nodes. Through example analysis, thefeasibility and rationality of the algorithm was proved.
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