Optimization techniques for hyperthermia treatment planning of breast cancer: A comparative study

Abstract

This paper compares five different optimization techniques for hyperthermia treatment planning (HTP) of breast cancer in terms of their ability to focus the specific absorption rate (SAR) in tumor and to reduce the hotspots in healthy tissues. Simulation results indicate that particle swarm optimization (PSO) and genetic algorithm (GA) outperformed other algorithms and produced the least hotspot to quotient ratio (< 0.99) and confined SAR in the tumor. The average SAR in the tumour provided by GA is 65% higher than PSO. Hence, it is concluded that GA can be explored as the optimization technique for HTP of breast cancer.