{"title":"Optimal-Cost Reachability Analysis Based on Time Petri Nets","authors":"H. Boucheneb, D. Lime, O. Roux, Charlotte Seidner","doi":"10.1109/ACSD.2018.000-1","DOIUrl":null,"url":null,"abstract":"This paper investigates the optimal-cost reachability problem in the context of time Petri nets, where a rate cost is associated with each place. This problem consists in deciding whether or not a given goal marking is reachable and providing, in case it is reachable, a sequence leading at lower cost to the goal marking. This paper shows that for some subclasses of cost time Petri nets, the optimal-cost reachability problem can be solved more efficiently using a method based on the state classes, without resorting to linear programming or splitting state classes.","PeriodicalId":242721,"journal":{"name":"2018 18th International Conference on Application of Concurrency to System Design (ACSD)","volume":"282 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 18th International Conference on Application of Concurrency to System Design (ACSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSD.2018.000-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper investigates the optimal-cost reachability problem in the context of time Petri nets, where a rate cost is associated with each place. This problem consists in deciding whether or not a given goal marking is reachable and providing, in case it is reachable, a sequence leading at lower cost to the goal marking. This paper shows that for some subclasses of cost time Petri nets, the optimal-cost reachability problem can be solved more efficiently using a method based on the state classes, without resorting to linear programming or splitting state classes.