{"title":"Parallelisation of Genetic Algorithms for Solving University Timetabling Problems","authors":"K. Banczyk, Tomasz Boinski, H. Krawczyk","doi":"10.1109/PARELEC.2006.64","DOIUrl":null,"url":null,"abstract":"Genetic algorithms play an important role in solving many optimisation problems. The paper concentrates on the design of a parallel genetic algorithm for obtaining acceptable and possibly good university timetables. Some known parallelisation techniques are introduced and the chosen implementation using MPI platform is shown. The master-slave management structure is assumed and the system scalability and the solution quality as function of the processing node number and population size are estimated","PeriodicalId":186915,"journal":{"name":"International Conference on Parallel Computing in Electrical Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Parallel Computing in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PARELEC.2006.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Genetic algorithms play an important role in solving many optimisation problems. The paper concentrates on the design of a parallel genetic algorithm for obtaining acceptable and possibly good university timetables. Some known parallelisation techniques are introduced and the chosen implementation using MPI platform is shown. The master-slave management structure is assumed and the system scalability and the solution quality as function of the processing node number and population size are estimated
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