DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLNE-16926

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-8,Issue-2  ( Feb, 2020 )
Paper Title
Cancer Diagnosis using Velocity Enhanced Whale Optimization Algorithm
Author Name
Monalisa Nayak, Soumya Das, Urmila Bhanja, Manasranjan Senapati
Affilition
Assistant Professor, Department of Electronics and Telecommunication Engineering, Indira Gandhi Institute of Technology, Sarang, India Assistant Professor, Department of Computer Science Engineering, Government College of Engineering, Kalahandi, India Associate Professor, Department of Electronics and Telecommunication Engineering, Indira Gandhi Institute of Technology, Sarang, India Associate Professor, Department of Information Technology, Veer Surendra Sai University of Technology, Burla,
Pages
5-8
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)
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