Xiaotian Liang, Yu Guo, Jiang Jiang, Xueming Xu, Qingqing Yang
{"title":"基于双边匹配的海上溢油应急监测任务分配方案生成方法","authors":"Xiaotian Liang, Yu Guo, Jiang Jiang, Xueming Xu, Qingqing Yang","doi":"10.1109/DOCS55193.2022.9967701","DOIUrl":null,"url":null,"abstract":"Aiming at the task allocation problem of maritime oil spill emergency monitoring, the bilateral matching theory is applied to standardize the task allocation process and improve the emergency effectiveness. First of all, the task of maritime oil spill emergency monitoring and the monitoring subjects carrying out the tasks are identified, and the specific types, difficulties and risks of the tasks are identified. Then, the task type is introduced to indirectly express the relationship between ‘monitoring subject-task’. On this basis, two concepts of task demand satisfaction and emergency monitoring subject capability competency are proposed to express the preference information of bilateral subjects. And then on the basis of redefining the specific connotation of the basic concept of bilateral matching theory under the background of maritime oil spill emergency monitoring task allocation, a bilateral matching model for task allocation of maritime oil spill emergency monitoring considering attribute priority is constructed. Finally, according to the specific characteristics of the model, a fast generation algorithm of feasible solution is designed to solve the problem. The model proposed in this paper standardizes the task allocation process of emergency monitoring in reality and plays an auxiliary role in improving the efficiency of emergency monitoring.","PeriodicalId":348545,"journal":{"name":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A task allocation scheme generation method for maritime oil spill emergency monitoring based on bilateral matching\",\"authors\":\"Xiaotian Liang, Yu Guo, Jiang Jiang, Xueming Xu, Qingqing Yang\",\"doi\":\"10.1109/DOCS55193.2022.9967701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the task allocation problem of maritime oil spill emergency monitoring, the bilateral matching theory is applied to standardize the task allocation process and improve the emergency effectiveness. First of all, the task of maritime oil spill emergency monitoring and the monitoring subjects carrying out the tasks are identified, and the specific types, difficulties and risks of the tasks are identified. Then, the task type is introduced to indirectly express the relationship between ‘monitoring subject-task’. On this basis, two concepts of task demand satisfaction and emergency monitoring subject capability competency are proposed to express the preference information of bilateral subjects. And then on the basis of redefining the specific connotation of the basic concept of bilateral matching theory under the background of maritime oil spill emergency monitoring task allocation, a bilateral matching model for task allocation of maritime oil spill emergency monitoring considering attribute priority is constructed. Finally, according to the specific characteristics of the model, a fast generation algorithm of feasible solution is designed to solve the problem. The model proposed in this paper standardizes the task allocation process of emergency monitoring in reality and plays an auxiliary role in improving the efficiency of emergency monitoring.\",\"PeriodicalId\":348545,\"journal\":{\"name\":\"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DOCS55193.2022.9967701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Data-driven Optimization of Complex Systems (DOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DOCS55193.2022.9967701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A task allocation scheme generation method for maritime oil spill emergency monitoring based on bilateral matching
Aiming at the task allocation problem of maritime oil spill emergency monitoring, the bilateral matching theory is applied to standardize the task allocation process and improve the emergency effectiveness. First of all, the task of maritime oil spill emergency monitoring and the monitoring subjects carrying out the tasks are identified, and the specific types, difficulties and risks of the tasks are identified. Then, the task type is introduced to indirectly express the relationship between ‘monitoring subject-task’. On this basis, two concepts of task demand satisfaction and emergency monitoring subject capability competency are proposed to express the preference information of bilateral subjects. And then on the basis of redefining the specific connotation of the basic concept of bilateral matching theory under the background of maritime oil spill emergency monitoring task allocation, a bilateral matching model for task allocation of maritime oil spill emergency monitoring considering attribute priority is constructed. Finally, according to the specific characteristics of the model, a fast generation algorithm of feasible solution is designed to solve the problem. The model proposed in this paper standardizes the task allocation process of emergency monitoring in reality and plays an auxiliary role in improving the efficiency of emergency monitoring.