{"title":"多车厢车辆路径问题的离散蝙蝠算法","authors":"N. Adil, H. Lakhbab","doi":"10.1109/ICOA49421.2020.9094524","DOIUrl":null,"url":null,"abstract":"The work presented focuses on the resolution of the multi compartment vehicle routing problem (MCVRP), a variant of the general vehicle routing problem (VRP). An adapted Discrete Bat Algorithm (DBA) is applied and numerical results are compared to results obtained by a Greedy Randomized Adaptive Search Procedure (GRASP). The algorithm proved to be efficient and further studies can be done to enhance its performance.","PeriodicalId":253361,"journal":{"name":"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Discrete Bat Algorithm for the Multi-Compartment Vehicle Routing Problem\",\"authors\":\"N. Adil, H. Lakhbab\",\"doi\":\"10.1109/ICOA49421.2020.9094524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work presented focuses on the resolution of the multi compartment vehicle routing problem (MCVRP), a variant of the general vehicle routing problem (VRP). An adapted Discrete Bat Algorithm (DBA) is applied and numerical results are compared to results obtained by a Greedy Randomized Adaptive Search Procedure (GRASP). The algorithm proved to be efficient and further studies can be done to enhance its performance.\",\"PeriodicalId\":253361,\"journal\":{\"name\":\"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOA49421.2020.9094524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 6th International Conference on Optimization and Applications (ICOA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOA49421.2020.9094524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Discrete Bat Algorithm for the Multi-Compartment Vehicle Routing Problem
The work presented focuses on the resolution of the multi compartment vehicle routing problem (MCVRP), a variant of the general vehicle routing problem (VRP). An adapted Discrete Bat Algorithm (DBA) is applied and numerical results are compared to results obtained by a Greedy Randomized Adaptive Search Procedure (GRASP). The algorithm proved to be efficient and further studies can be done to enhance its performance.