A probabilistic approach to analyse the evolutionary process in circuit design

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Kalganova:2002:LMPU,

• author = "Tatiana Kalganova and Igor Baradavka",
• title = "A probabilistic approach to analyse the evolutionary process in circuit design",
• booktitle = "Proceedings of the 9th International Conference on Information Processing and Management of Uncertain Knowledge-Based Systems, IPMU 2002",
• year = "2002",
• editor = "Bernadette Bouchon-Meunier and Laurent Foulloy and Ronald R. Yager",
• volume = "2",
• pages = "689--696",
• address = "Annecy, France",
• month = "1-5 " # jul,
• organisation = "University of Savoy, LISTIC - ESIA",
• email = "ipmu2002@univ-savoie.fr",
• keywords = "genetic algorithms, genetic programming, evolvable hardware, EHW",
• ISBN = "2-9516453-1-7",
• URL = "https://bura.brunel.ac.uk/handle/2438/12017",
• URL = "https://bura.brunel.ac.uk/bitstream/2438/12017/1/Fulltext.pdf",
• size = "8 pages",
• abstract = "One of the actual problems in the evolvable hardware is the evolvability of logic circuits. In order to understand better the nature of existing problem, the probabilistic analysis can be used. This paper aims to investigate how the circuit layout evolution is carried out. This is interesting thing to do for two main reasons. Firstly, to investigate what type of genes mostly influence on the algorithm performance in evolvable hardware. Secondly, to see how effective an allocation of active logic gates might be in a digital circuit design task. In order to achieve this goal we investigate the genotypes of the best chromosomes which bring some improvements in evolutionary process. The logic circuits have been evolved using circuit layout evolution.",
• notes = "Was called LMPU opps alarcos.inf-cr.uclm.es/Alarnet/presentacion/.../2002-IPMU-Olivas.pdf",

}

Genetic Programming entries for Tatiana Kalganova Igor Baradavka

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