Title :
Advanced genetic operators in the context of evolutionary ontology
Author :
Matei, Oliviu ; Contras, Diana
Author_Institution :
Technical University of Cluj-Napoca, North University Centre of Baia Mare, Baia Mare, Romania
Abstract :
The concept of evolutionary ontology has been introduced recently. They are actually genetic algorithms which use ontologies instead of mathematical structures, such as bit strings or numbers. An ontology has a significant expressivity power, therefore it allows more complex genetic operators, beside the classical ones. In this article we introduce several such new genetic operators (intersection crossover, union crossover, composition crossover) and we demonstrate their feasibility.
Keywords :
Electronic mail; Encoding; Genetic algorithms; Genetics; Ontologies; Sociology; Statistics;
Conference_Titel :
Evolutionary Computation (CEC), 2015 IEEE Congress on
Conference_Location :
Sendai, Japan
DOI :
10.1109/CEC.2015.7256868