Generation of bioinspired search procedures for optimization problems

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Kureichik:2016:ieeeAICT,

• author = "Vladimir Kureichik and Dmitry Zaporozhets and Daria Zaruba",
• booktitle = "2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)",
• title = "Generation of bioinspired search procedures for optimization problems",
• year = "2016",
• abstract = "The paper deals with generation of new hybrid algorithms based on the bioinspired search methods. Subsystem architecture involves a data management module and a module of automation of new search procedures generation. This module is found on genetic search and genetic programming mechanisms. The authors suggest a new approach for description of the data structure based on the XML. As a result it was developed an executable algorithm for optimisation problems solving.",
• keywords = "genetic algorithms, genetic programming, bioinspired search, atomic search procedure, optimization, XML",
• DOI = "doi:10.1109/ICAICT.2016.7991822",
• month = oct,
• notes = "Also known as \cite{7991822}",

}

Genetic Programming entries for Vladimir Victorovich Kureichik Dmitry Zaporozhets Daria Viktorovna Zaruba

Citations