Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Pollen Classification using Brightness-Based and Shape-Based Descriptors
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
A new optimization method: big bang-big crunch
Advances in Engineering Software
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
Application of genetic programming for multicategory patternclassification
IEEE Transactions on Evolutionary Computation
Evolving accurate and compact classification rules with gene expression programming
IEEE Transactions on Evolutionary Computation
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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 96 % success rate on the average together with significant improvement in the speed of convergence.