Cancer detection using Enhanced Powell’s Bacterial Evolutionary based on k-means Algorithm

EasyChair Preprint 1977

Abstract

Evolutionary algorithms often frequently perform quite well approximating answers for a wide range of problems or issues since they are in a perfect world don't make any supposition about the hidden wellness scene. Procedures from evolutionary algorithms connected to the demonstrating of organic development are commonly restricted to investigations of micro evolutionary procedures and arranging models dependent on cell forms. Speaking the truth, this computational multifaceted nature is because of wellness work assessment. Be that as it may, apparently basic EA can fathom regularly complex problems along these lines, there might be no immediate connection between algorithm multifaceted nature and issue unpredictability.  In this paper cancer is detected using Enhanced Powell’s Bacterial Evolutionary based on k-means Algorithm.

Keyphrases: Bacterial Evolutionary Algorithm, Bacterial Foraging Algorithm, Genetic Algorithm, K-means, powell's method

@booklet{EasyChair:1977,
  author    = {R Subhashini and Dhanush Reddy and Shiva Kumar and M Sai Deepu and B Kanaka Naga Akhil and B Lalu Prasad Yadav and K Anand Asish Kumar and M K Hema},
  title     = {Cancer detection using Enhanced Powell’s Bacterial Evolutionary based on k-means Algorithm},
  howpublished = {EasyChair Preprint 1977},
  year      = {EasyChair, 2019}}