{"title":"L(2,1)-coloring of the Fibonacci cubes","authors":"A. Taranenko, A. Vesel","doi":"10.1109/ITI.2004.242367","DOIUrl":null,"url":null,"abstract":"An L(2, l)-coloring of a graph G is an assignment of labels from {0,1,..., A} to the vertices of G such that vertices at distance two get different labels and adjacent vertices get labels that are at least two apart. The X-number X(G) of G is the minimum value A such that G admits an L(2,1)-coloring. It is well known that the problem of determining the X-number is NP-hard. The Fibonacci cube network was recently proposed as an alternative to the hypercube network. Three different evolutionary algorithms are presented to find optimal or near optimal L(2,1)-coloring of the Fibonacci cubes. The algorithms are compared with the Petford-Welsh probabilistic algorithm","PeriodicalId":320305,"journal":{"name":"26th International Conference on Information Technology Interfaces, 2004.","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"26th International Conference on Information Technology Interfaces, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2004.242367","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An L(2, l)-coloring of a graph G is an assignment of labels from {0,1,..., A} to the vertices of G such that vertices at distance two get different labels and adjacent vertices get labels that are at least two apart. The X-number X(G) of G is the minimum value A such that G admits an L(2,1)-coloring. It is well known that the problem of determining the X-number is NP-hard. The Fibonacci cube network was recently proposed as an alternative to the hypercube network. Three different evolutionary algorithms are presented to find optimal or near optimal L(2,1)-coloring of the Fibonacci cubes. The algorithms are compared with the Petford-Welsh probabilistic algorithm