Paper Title :Cancer Diagnosis using Velocity Enhanced Whale Optimization Algorithm

Author :Monalisa Nayak, Soumya Das, Urmila Bhanja, Manasranjan Senapati

Article Citation :Monalisa Nayak ,Soumya Das ,Urmila Bhanja ,Manasranjan Senapati , (2020 ) " Cancer Diagnosis using Velocity Enhanced Whale Optimization Algorithm " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 5-8, Volume-8,Issue-2

Abstract : In this paper, an algorithm is developed called Velocity Enhanced Whale Optimization Algorithm (VEWOA) to explore for better solution in high dimension space. Breast cancer, lung cancer and cervical cancer diagnosis and classification is done by hybridizing Artificial Neural Network (ANN) with the developed algorithm. The results shows the dominance of the VEWOA-NN by experimenting with breast cancer, cervical cancer and lung cancer dataset and comparing with Whale Optimization Algorithm (WOA). Robustness of proposed method is validated by calculation of the CCR (Correct Classification Rate),confusion matrix and ASCE (Averaged Square Classification Error). Keywords - Velocity Enhanced Whale Optimization Algorithm (VEWOA); Whale Optimization Algorithm (WOA); Artificial Neural Network (ANN); Support Vector Machine (SVM)

Type : Research paper

Published : Volume-8,Issue-2

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