- author = "Hitoshi Iba and Taisuke Sato and Hugo {de Garis}",
- title = "Recombination Guidance for Numerical Genetic Programming",
- booktitle = "1995 IEEE Conference on Evolutionary Computation",
- year = "1995",
- volume = "1",
- pages = "97--102",
- address = "Perth, Australia",
- publisher_address = "Piscataway, NJ, USA",
- month = "29 " # nov # " - 1 " # dec,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, adaptive estimation, computer vision, numerical analysis, search problems, statistical analysis, time series, STROGANOFF, adaptive program, adaptive recombination mechanism, chaotic time series prediction, genetic algorithm-based search strategy, genetic program recombination, multiple regression analysis method, nonlinear function fitting, numerical genetic programming, structured representation, system identification problems",
- ISBN = "0-7803-2759-4",
-
DOI = "
doi:10.1109/ICEC.1995.489292",
- size = "6 pages",
- abstract = "In our earlier papers, we introduced our adaptive program called STROGANOFF (i.e. STructured Representation On Genetic Algorithms for Non-linear Function Fitting), which integrated a multiple regression analysis method and a GA-based search strategy. The effectiveness of STROGANOFF was demonstrated by solving several system identification problems. This paper proposes an {"}adaptive recombination{"} mechanism for STROGANOFF. Our intention is to exploit already built structures by 'adaptive recombination', in which GP recombination is guided by a certain measure. The effectiveness of our approach is shown by the experiment in predicting a chaotic time series. Thereafter we describe real-world applications of STROGANOFF to computer vision.",
-
notes = "ICEC-95 Editors not given by IEEE, Organisers David
Fogel and Chris deSilva.
Broken Jan 2017 conference details at http://ciips.ee.uwa.edu.au/~dorota/icnn95.html
Female face outline. Stately home Hursley house windows.",
