{"title":"并行化多目标 A* 搜索(扩展摘要)","authors":"Saman Ahmadi","doi":"10.1609/socs.v17i1.31567","DOIUrl":null,"url":null,"abstract":"The Multi-objective Shortest Path (MOSP) problem aims to find all Pareto-optimal paths between two points in a graph with multiple edge costs. Recent studies on multi-objective search with A* have demonstrated superior performance in solving difficult MOSP instances. This paper proposes a novel parallel multi-objective search framework that can accelerate recent A*-based solutions by several factors.","PeriodicalId":425645,"journal":{"name":"Symposium on Combinatorial Search","volume":"55 1","pages":"253-254"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parallelizing Multi-objective A* Search (Extended Abstract)\",\"authors\":\"Saman Ahmadi\",\"doi\":\"10.1609/socs.v17i1.31567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Multi-objective Shortest Path (MOSP) problem aims to find all Pareto-optimal paths between two points in a graph with multiple edge costs. Recent studies on multi-objective search with A* have demonstrated superior performance in solving difficult MOSP instances. This paper proposes a novel parallel multi-objective search framework that can accelerate recent A*-based solutions by several factors.\",\"PeriodicalId\":425645,\"journal\":{\"name\":\"Symposium on Combinatorial Search\",\"volume\":\"55 1\",\"pages\":\"253-254\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Combinatorial Search\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1609/socs.v17i1.31567\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Combinatorial Search","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/socs.v17i1.31567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Multi-objective Shortest Path (MOSP) problem aims to find all Pareto-optimal paths between two points in a graph with multiple edge costs. Recent studies on multi-objective search with A* have demonstrated superior performance in solving difficult MOSP instances. This paper proposes a novel parallel multi-objective search framework that can accelerate recent A*-based solutions by several factors.