System for discovering and optimizung mathematical models using genetic programming and genetic algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Brezocnik:1997:DAAAM,

• author = "Miran Brezocnik and Joze Balic",
• title = "System for discovering and optimizung mathematical models using genetic programming and genetic algorithms",
• booktitle = "Proceedings of the 8th International DAAAM Symposium",
• year = "1997",
• editor = "Branko Katalinic",
• pages = "37--38",
• month = "23-25 " # oct,
• publisher = "DAAAM International",
• email = "mbrezocnik@uni-mb.si",
• ISBN = "3-901509-04-6",
• address = "Dubrovnik, Croatia",
• publisher_address = "Vienna",
• keywords = "genetic algorithms, genetic programming, adaptive systems, evolutionary computation",
• abstract = "In this paper, we propose a system for discovering and optimising of various mathematical models. The system consists of two parts. In the first part, we discover unknown mathematical models on the basis of empirical given data (learning data). In the second part, we optimise parameters of the discovered mathematical models. Genetic programming (GP) and genetic algorithm (GA) are used for discovering and optimizing of models, respectively. GP and GA are evolutionary optimization methods based on the Darwinian natural selection and survival of the fittest.",
• notes = "http://www.daaam.com/daaam/Past_Activities/DAAAM_International_Activities_1990-2005.pdf",

}

Genetic Programming entries for Miran Brezocnik Joze Balic

Citations