- author = "Maryam {Amir Haeri} and Mohammad Mehdi Ebadzadeh and Gianluigi Folino",
- title = "Statistical Genetic Programming: The Role of Diversity",
- booktitle = "Soft Computing in Industrial Applications",
- publisher = "Springer",
- year = "2014",
- editor = "Vaclav Snasel and Pavel Kroemer and Mario Koeppen and Gerald Schaefer",
- volume = "223",
- series = "Advances in Intelligent Systems and Computing",
- chapter = "4",
- pages = "37--48",
- month = "21 " # nov,
- note = "Proceedings of the 17th Online World Conference on Soft Computing in Industrial Applications",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-3-319-00929-2",
-
URL = "
http://dx.doi.org/10.1007/978-3-319-00930-8_4",
-
DOI = "
doi:10.1007/978-3-319-00930-8_4",
- language = "English",
- abstract = "In this chapter, a new GP-based algorithm is proposed. The algorithm, named SGP (Statistical GP), exploits statistical information, i.e. mean, variance and correlation-based operators, in order to improve the GP performance. SGP incorporates new genetic operators, i.e. Correlation Based Mutation, Correlation Based Crossover, and Variance Based Editing, to drive the search process towards fitter and shorter solutions. Furthermore, this work investigates the correlation between diversity and fitness in SGP, both in terms of phenotypic and genotypic diversity. First experiments conducted on four symbolic regression problems illustrate the goodness of the approach and permits to verify the different behaviour of SGP in comparison with standard GP from the point of view of the diversity and its correlation with the fitness.",
-
notes = "http://dap.vsb.cz/wsc17/ WSC17 2012 Online Conference
on Soft Computing in Industrial Applications Anywhere
on Earth, December 10-21, 2012
Author Affiliations Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran ICAR-CNR, Rende, Italy",
