{"title":"具有多准则权值的平均最长路径和最大代价网络流","authors":"Jeremy D. Jordan, Jeffery D. Weir","doi":"10.1016/j.endm.2018.07.024","DOIUrl":null,"url":null,"abstract":"<div><p>Multiple criteria decision analysis methods are incorporated into network flow problems as the arc weight. Each individual arc in the network consequently has a value or utility between 0 and 1, and the objective is thus to find the path with longest average value or maximum average cost flow. These problems are NP-hard for general graphs. For directed acyclic graphs (DAG), we develop a dynamic programming based algorithm to solve the average longest path problem in <em>O</em>(<em>nm</em>) and a heuristic to approximate the average longest path problem in <em>O</em>(<em>m</em>). These methods are then used successively to approximate the average maximum cost flow.</p></div>","PeriodicalId":35408,"journal":{"name":"Electronic Notes in Discrete Mathematics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.endm.2018.07.024","citationCount":"2","resultStr":"{\"title\":\"Average Longest Path and Maximum Cost Network Flows with Multiple-Criteria Weights\",\"authors\":\"Jeremy D. Jordan, Jeffery D. Weir\",\"doi\":\"10.1016/j.endm.2018.07.024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Multiple criteria decision analysis methods are incorporated into network flow problems as the arc weight. Each individual arc in the network consequently has a value or utility between 0 and 1, and the objective is thus to find the path with longest average value or maximum average cost flow. These problems are NP-hard for general graphs. For directed acyclic graphs (DAG), we develop a dynamic programming based algorithm to solve the average longest path problem in <em>O</em>(<em>nm</em>) and a heuristic to approximate the average longest path problem in <em>O</em>(<em>m</em>). These methods are then used successively to approximate the average maximum cost flow.</p></div>\",\"PeriodicalId\":35408,\"journal\":{\"name\":\"Electronic Notes in Discrete Mathematics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.endm.2018.07.024\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Notes in Discrete Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1571065318301689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Notes in Discrete Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1571065318301689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Mathematics","Score":null,"Total":0}
Average Longest Path and Maximum Cost Network Flows with Multiple-Criteria Weights
Multiple criteria decision analysis methods are incorporated into network flow problems as the arc weight. Each individual arc in the network consequently has a value or utility between 0 and 1, and the objective is thus to find the path with longest average value or maximum average cost flow. These problems are NP-hard for general graphs. For directed acyclic graphs (DAG), we develop a dynamic programming based algorithm to solve the average longest path problem in O(nm) and a heuristic to approximate the average longest path problem in O(m). These methods are then used successively to approximate the average maximum cost flow.
期刊介绍:
Electronic Notes in Discrete Mathematics is a venue for the rapid electronic publication of the proceedings of conferences, of lecture notes, monographs and other similar material for which quick publication is appropriate. Organizers of conferences whose proceedings appear in Electronic Notes in Discrete Mathematics, and authors of other material appearing as a volume in the series are allowed to make hard copies of the relevant volume for limited distribution. For example, conference proceedings may be distributed to participants at the meeting, and lecture notes can be distributed to those taking a course based on the material in the volume.