Nature-Inspired Algorithms and Applications

10Performance Analysis of Nature-Inspired Algorithms in Breast Cancer Diagnosis

K. Hariprasath¹*, S. Tamilselvi², N. M. Saravana Kumar³, N. Kaviyavarshini¹ and S. Balamurugan⁴

¹Department of Information Technology, Vivekanandha College of Engineering for Women, Namakkal, India

²Department of Biotechnology, Bannari Amman Institute of Technology, Erode, India

³Department of Artificial Intelligence and Data Science, M Kumarasamy College of Engineering, Karur, India

⁴Intelligent Research Consultancy Services (iRCS), Coimbatore, India

Abstract

Nature-inspired computing (NIC) is a fascinating computing paradigm that applies the methodology and approaches of nature that addresses various real-time complex problems ranging from how an organism finds its prey to genetic evolution. One of the unique features is that it has been provisioned with a decentralized control of computational activities naturally. In this chapter, to have a better insight of such NIC-based algorithms, the problem of identifying the breast cancer is used to exhibit their performances. Also, this chapter briefs about the application of stand-alone and hybridized approaches to identify the disease. Finally, it concludes with the experimental results and other statistical measures. The purpose of the chapter is to guide the new researcher in the area to get inspired from the conventional works and to bring out a new advanced approach that can perform further better. The three swarm algorithms are ant colony optimization, ...