E. Balas, Sebastián Ceria, G. Cornuéjols, G. Pataki
{"title":"Polyhedral methods for the maximum clique problem","authors":"E. Balas, Sebastián Ceria, G. Cornuéjols, G. Pataki","doi":"10.1090/dimacs/026/02","DOIUrl":null,"url":null,"abstract":"Abstract : This paper presents an integer programming approach to the maximum clique problem. An initial linear programming relaxation is solved and, when there is an integrality gap, this relaxation is strengthened using one of several tightening procedures. This is done through the addition of cutting planes to the linear program. The bulk of the paper deals with theoretical and computational issues associated with the generation of these cuts. In particular, we describe how to obtain cuts from the positive semi-definiteness of an underlying matrix. The various cuts are then compared in a computational experiment. These cuts can be incorporated into a branch-and-cut algorithm and we report results with such an algorithm on some of the DIMACS benchmark instances. (AN)","PeriodicalId":267178,"journal":{"name":"Cliques, Coloring, and Satisfiability","volume":"203 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cliques, Coloring, and Satisfiability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1090/dimacs/026/02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 65
Abstract
Abstract : This paper presents an integer programming approach to the maximum clique problem. An initial linear programming relaxation is solved and, when there is an integrality gap, this relaxation is strengthened using one of several tightening procedures. This is done through the addition of cutting planes to the linear program. The bulk of the paper deals with theoretical and computational issues associated with the generation of these cuts. In particular, we describe how to obtain cuts from the positive semi-definiteness of an underlying matrix. The various cuts are then compared in a computational experiment. These cuts can be incorporated into a branch-and-cut algorithm and we report results with such an algorithm on some of the DIMACS benchmark instances. (AN)