Comparison of Two Optimization Algorithms for Focused Microwave Breast Cancer Hyperthermia

Focused microwave hyperthermia is a promising noninvasive method for treating breast cancers by heating up the tumor while keeping the surrounding healthy tissues unperturbed. This is enabled by deploying a microwave phased antenna array around the breast and iteratively adjusting the exciting phases and amplitudes of the array elements by some optimization algorithm. Two kinds of algorithms, particle swarm optimization and differential evolution, are compared in this work by simulation work. It is shown that the latter leads to a better focusing result and uses shorter computational time.