Advanced genetic operators in the context of evolutionary ontology
作者： Oliviu Matei , Diana Contras
关键词:
摘要: The concept of evolutionary ontology has been introduced recently. They are actually genetic algorithms which use ontologies instead mathematical structures, such as bit strings or numbers. An a significant expressivity power, therefore it allows more complex operators, beside the classical ones. In this article we introduce several new operators (intersection crossover, union composition crossover) and demonstrate their feasibility.
sci-hub.se 参考文章(28)
Anca Gog, Camelia Chira, None, Comparative analysis of recombination operators in genetic algorithms for the travelling salesman problem hybrid artificial intelligence systems. pp. 10- 17 ,(2011) , 10.1007/978-3-642-21222-2_2
András Király, János Abonyi, Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm Studies in computational intelligence. ,vol. 366, pp. 241- 269 ,(2011) , 10.1007/978-3-642-21705-0_9
Deborah L McGuinness, Frank Van Harmelen, None, OWL Web ontology language overview W3C Recommendation. ,(2004)
Jiah-Shing Chen, Jia-Leh Hou, A Combination Genetic Algorithm with Applications on Portfolio Optimization Advances in Applied Artificial Intelligence. pp. 197- 206 ,(2006) , 10.1007/11779568_23
S. N. Deepa, S. N. Sivanandam, Introduction to genetic algorithms ,(2007)
James L. Hein, Discrete structures, logic, and computability ,(1994)
Phillip Lord, Components of an Ontology Ontogenesis. ,(2010)
Xin-She Yang, Amir Hossein Gandomi, Siamak Talatahari, Amir Hossein Alavi, None, Metaheuristics in water, geotechnical and transport engineering Elsevier. ,(2012)
Veronique Sels, Mario Vanhoucke, A hybrid dual-population genetic algorithm for the single machine maximum lateness problem european conference on evolutionary computation in combinatorial optimization. ,vol. 6622, pp. 14- 25 ,(2011) , 10.1007/978-3-642-20364-0_2