Al-Hikmah University Journal

This paper attempt a shift in paradigm from conventional methods by formulating hybridizing model of genetic algorithm and Multilayer perceptron for optimization of relevant features of the genes and classification of lung cancer disease respectively. Microarray data is to be considered as a dataset. The paper therefore, adopt hybridize model of Genetic Algorithm and MLP, it was developed and simulated in Weka environment using microarray cancer dataset. The solution found by the combined Genetic Algorithm and Multilayer Perceptron performed effectively well. The results presented in this paper revealed that the proposed hybridization of Genetic Algorithm and Multilayer Perceptron performs better with over 90% accuracy when used for classification of microarray dataset of lung cancer.