Automatic generation of function block applications using evolutionary algorithms: Initial explorations

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Mironovich:2017:ieeeINDIN,

• author = "Vladimir Mironovich and Maxim Buzdalov and Valeriy Vyatkin",
• booktitle = "2017 IEEE 15th International Conference on Industrial Informatics (INDIN)",
• title = "Automatic generation of function block applications using evolutionary algorithms: Initial explorations",
• year = "2017",
• pages = "700--705",
• abstract = "Automation of software development process has been a concern for a long time. Genetic programming is a well-known technique which uses evolutionary computation to generate or improve a computer program for a specific task without human participation. We consider the method which applies model checking and evolutionary computation towards the automatic generation of function block control applications for industrial automation systems. As a first step, we evaluate the effectiveness of a fitness function based on the number of satisfied computation tree logic formulas in UPPAAL query language for a manually created UPPAAL model. Results show that such fitness function and the (1+1) evolutionary algorithm can be successfully applied to generation of the required data connections in the IEC 61499 function block application.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/INDIN.2017.8104858",
• month = jul,
• notes = "Also known as \cite{8104858}",

}

Genetic Programming entries for Vladimir Anatolevich Mironovich Maxim Buzdalov Valerii Vladimirovich Vyatkin

Citations