文章基本信息

标题：Translation of the Mutation Operator from Genetic Algorithms to Evolutionary Ontologies
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作者：Diana Contras ; Oliviu Matei
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：1
DOI：10.14569/IJACSA.2016.070186
出版社：Science and Information Society (SAI)
摘要：Recently introduced, evolutionary ontologies rep-resent a new concept as a combination of genetic algorithms and ontologies. We have defined a new framework comprising a set of parameters required for any evolutionary algorithm, i.e. ontological space, representation of individuals, the main genetic operators such as selection, crossover, and mutation. Although a secondary operator, mutation proves its importance in creating and maintaining evolutionary ontologies diversity. Therefore, in this article, we widely debate the mutation topic in evolutionary ontologies, marking its usefulness in practice by experimental results. Also we introduce a new mutation operator, called relational mutation, concerning mutation of a relationship through its inverse.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Evolutionary ontologies; Genetic algorithms; Muta-tion; Ontology