Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Discovering Fuzzy Classification Rules with Genetic Programming and Co-evolution
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Concept Formation and Decision Tree Induction Using the Genetic Programming Paradigm
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Genetic Programming for Multiple Class Object Detection
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Genetic Programming for data classification: partitioning the search space
Proceedings of the 2004 ACM symposium on Applied computing
Genetic programming neural networks: A powerful bioinformatics tool for human genetics
Applied Soft Computing
Applying genetic programming technique in classification trees
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on intelligent systems for financial engineering and computational finance
An autonomous GP-based system for regression and classification problems
Applied Soft Computing
Modifying genetic programming for artificial neural network development for data mining
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
Evolving rule induction algorithms with multi-objective grammar-based genetic programming
Knowledge and Information Systems
Dynamic split-point selection method for decision tree evolved by gene expression programming
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
Information Sciences: an International Journal
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Application of genetic programming for multicategory patternclassification
IEEE Transactions on Evolutionary Computation
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Genetic Programming has emerged as an efficient algorithm for classification It offers several prominent features like transparency, flexibility and efficient data modeling ability However, GP requires long training times and suffers from increase in average population size during evolution The aim of this paper is to introduce a framework to increase the accuracy of classifiers by performing a PSO based optimization approach The proposed hybrid framework has been found efficient in increasing the accuracy of classifiers (expressed in the form of binary expression trees) in comparatively lesser number of function evaluations The technique has been tested using five datasets from the UCI ML repository and found efficient.