The multi-depot vehicle routing problem with inter-depot routes (MDVRPI) is an extension to the classical Vehicle Routing Problem (VRP); it is the major research topics in the supply chain management field. It is an extension of the multi-depot vehicle routing problem in which vehicles may be replenished at intermediate depots along their route. In this paper, we propose a heuristic combining the adaptative memory principle, a tabu search method for the solution of subproblems, and integer programming. Tests are conducted on randomly generated instances. The experiment indicates the validity of the technique to MDVRPI with the above-mentioned conditions.
{"title":"A Combining Heuristic Algorithm for the Multi-depot Vehicle Routing Problem with Inter-depot Routes","authors":"Tong Zhen, Qiuwen Zhang","doi":"10.1109/JCAI.2009.161","DOIUrl":"https://doi.org/10.1109/JCAI.2009.161","url":null,"abstract":"The multi-depot vehicle routing problem with inter-depot routes (MDVRPI) is an extension to the classical Vehicle Routing Problem (VRP); it is the major research topics in the supply chain management field. It is an extension of the multi-depot vehicle routing problem in which vehicles may be replenished at intermediate depots along their route. In this paper, we propose a heuristic combining the adaptative memory principle, a tabu search method for the solution of subproblems, and integer programming. Tests are conducted on randomly generated instances. The experiment indicates the validity of the technique to MDVRPI with the above-mentioned conditions.","PeriodicalId":373421,"journal":{"name":"IITA International Joint Conference on Artificial Intelligence","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126813718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Xiang, Susheng Wang, Yan Liu, Z. Kong, Yin Cao
In order to satisfy the Chinese enterprises’ demand for the import of hi-tech equipment and reduction of costs during the import process, we need to construct an electronic alliance import platform for hi-tech equipment. This article attempts to apply the advantages of a large-scale electronic purchase platform for hi-tech equipment through the implementation of an "online reverse auction" and an "enterprise group purchase" system by creating an electronic alliance import platform for hi-tech equipment whereby suppliers bid for contracts via the Internet. By analyzing the performance of the electronic alliance import platform, we have reached the conclusion that the implementation of the electronic alliance import platform can optimize the benefits of both, the importers as well as the suppliers. The implementation of an electronic alliance import platform has its advantages as well as risks, thus, we need to assess and analyze the possible ways to prevent and minimize risks during the implementation process.
{"title":"Performance and Risk Analysis of Constructing an Electronic Alliance Import Platform for Hi-tech Equipment in China","authors":"Jing Xiang, Susheng Wang, Yan Liu, Z. Kong, Yin Cao","doi":"10.1109/JCAI.2009.9","DOIUrl":"https://doi.org/10.1109/JCAI.2009.9","url":null,"abstract":"In order to satisfy the Chinese enterprises’ demand for the import of hi-tech equipment and reduction of costs during the import process, we need to construct an electronic alliance import platform for hi-tech equipment. This article attempts to apply the advantages of a large-scale electronic purchase platform for hi-tech equipment through the implementation of an \"online reverse auction\" and an \"enterprise group purchase\" system by creating an electronic alliance import platform for hi-tech equipment whereby suppliers bid for contracts via the Internet. By analyzing the performance of the electronic alliance import platform, we have reached the conclusion that the implementation of the electronic alliance import platform can optimize the benefits of both, the importers as well as the suppliers. The implementation of an electronic alliance import platform has its advantages as well as risks, thus, we need to assess and analyze the possible ways to prevent and minimize risks during the implementation process.","PeriodicalId":373421,"journal":{"name":"IITA International Joint Conference on Artificial Intelligence","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124377311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atomization in flood discharge of high dam is a serious and complicated problem which belongs to the research field of water-air and air-water two phase flow. The motion of atomized flow is restricted by water head, discharge and operation scheme and affected by environmental wind and terrain. Numerical simulation is the main method of forecasting the range of atomization. Neural network as a new method in this study has the identities of distribution and nonlinearity which very adapt to simulate the behavior of atomized flow. In design and operation process of a hydro project rainstorm field of the atomization is the main range ensuring the security of the project. In this paper a pattern recognition model of rainstorm field based on neural network is constructed and trained by prototype data. Finally the rainstorm fields of two hydro projects in designing are computed and the results are in comparison with those of mechanics model. The comparison result shows the neural network model can predict the rainstorm field quickly with acceptable accuracy.
{"title":"Recognition of Rainstorm Field in Flood Discharge of High Dam Based on Neural Network","authors":"Fang Liu, Cai-qiong Huang","doi":"10.1109/JCAI.2009.19","DOIUrl":"https://doi.org/10.1109/JCAI.2009.19","url":null,"abstract":"Atomization in flood discharge of high dam is a serious and complicated problem which belongs to the research field of water-air and air-water two phase flow. The motion of atomized flow is restricted by water head, discharge and operation scheme and affected by environmental wind and terrain. Numerical simulation is the main method of forecasting the range of atomization. Neural network as a new method in this study has the identities of distribution and nonlinearity which very adapt to simulate the behavior of atomized flow. In design and operation process of a hydro project rainstorm field of the atomization is the main range ensuring the security of the project. In this paper a pattern recognition model of rainstorm field based on neural network is constructed and trained by prototype data. Finally the rainstorm fields of two hydro projects in designing are computed and the results are in comparison with those of mechanics model. The comparison result shows the neural network model can predict the rainstorm field quickly with acceptable accuracy.","PeriodicalId":373421,"journal":{"name":"IITA International Joint Conference on Artificial Intelligence","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125343179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the progress of water supply company reform, the enterprise's leaders eager to optimize the productivity by strengthening the information management in order to improve the competition ability, there is a problem of the difference between supply and sale in lots of water supply company. For this reason, this paper proposes a method: first building a data warehouse based on GIS, and next, making data mining with Data Mining technology based on the data warehouse for dinning out the area of the distinct difference.
{"title":"Application","authors":"Jinxu Guo, Hao Ding","doi":"10.1109/JCAI.2009.222","DOIUrl":"https://doi.org/10.1109/JCAI.2009.222","url":null,"abstract":"With the progress of water supply company reform, the enterprise's leaders eager to optimize the productivity by strengthening the information management in order to improve the competition ability, there is a problem of the difference between supply and sale in lots of water supply company. For this reason, this paper proposes a method: first building a data warehouse based on GIS, and next, making data mining with Data Mining technology based on the data warehouse for dinning out the area of the distinct difference.","PeriodicalId":373421,"journal":{"name":"IITA International Joint Conference on Artificial Intelligence","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128144695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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