{"title":"Efficient graph based representation of multi-valued functions with an application to genetic algorithms","authors":"B. Becker, R. Drechsler","doi":"10.1109/ISMVL.1994.302218","DOIUrl":null,"url":null,"abstract":"We present a new general data structure for representation of multi-valued input, multi-valued output functions, called function graphs (FG). Ordered FGs are shown to be a canonical form. We investigate read-once FGs and show that type-restricted FGs are also canonical. We use FGs for multi-valued set representation and manipulation. They allow efficient manipulation algorithms for set operations, e.g. union and intersection. An application to genetic algorithms (GAs) is presented in more detail. A population is represented by a multi-rooted FG. It is shown by experimental results that this new representation is very efficient and superior to other data structures for GAs.<<ETX>>","PeriodicalId":137138,"journal":{"name":"Proceedings of 24th International Symposium on Multiple-Valued Logic (ISMVL'94)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 24th International Symposium on Multiple-Valued Logic (ISMVL'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMVL.1994.302218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
We present a new general data structure for representation of multi-valued input, multi-valued output functions, called function graphs (FG). Ordered FGs are shown to be a canonical form. We investigate read-once FGs and show that type-restricted FGs are also canonical. We use FGs for multi-valued set representation and manipulation. They allow efficient manipulation algorithms for set operations, e.g. union and intersection. An application to genetic algorithms (GAs) is presented in more detail. A population is represented by a multi-rooted FG. It is shown by experimental results that this new representation is very efficient and superior to other data structures for GAs.<>