- title = "A Genetic Programming Classifier Design Approach for Cell Images",
- author = "Aydin Akyol and Yusuf Yaslan and Osman Kaan Erol",
- booktitle = "Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU",
- bibdate = "2007-09-17",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/ecsqaru/ecsqaru2007.html#AkyolYE07",
- publisher = "Springer",
- year = "2007",
- volume = "4724",
- editor = "Khaled Mellouli",
- isbn13 = "978-3-540-75255-4",
- pages = "878--888",
- series = "Lecture Notes in Computer Science",
- address = "Hammamet, Tunisia",
- month = oct # " 31 - " # nov # " 2",
- keywords = "genetic algorithms, genetic programming, cell classification, classifier design, pollen classification",
-
DOI = "
doi:10.1007/978-3-540-75256-1_76",
- abstract = "This paper describes an approach for the use of genetic programming (GP) in classification problems and it is evaluated on the automatic classification problem of pollen cell images. In this work, a new reproduction scheme and a new fitness evaluation scheme are proposed as advanced techniques for GP classification applications. Also an effective set of pollen cell image features is defined for cell images. Experiments were performed on Bangor/Aberystwyth Pollen Image Database and the algorithm is evaluated on challenging test configurations. We reached at 96percent success rate on the average together with significant improvement in the speed of convergence.",
-
notes = "cf email GP mailing list Mon, 24 Dec 2007 13:42:59
+0200
You may find MATLAB codes from my Web Page below: www3.itu.edu.tr/~okerol
you may refer to: O.K. Erol, I.Eksin, 2006. A New Optimization Method: Big-Bang Big-Crunch, Advences in Engineering Software, Elsevier, Vol 37, No.2, 106-111 doi:10.1016/j.advengsoft.2005.04.005",
