Metameric representations on optimization of nano particle cancer treatment
This study is based on the assumption that multiple types of NPs is expected to increase the robustness of the treatment, due to imposing higher complexity on the solution tackling a problem of high complexity, namely the physiology of a tumour.
The evolutionary optimization process is utilizing metameric representations and appropriate crossover and mutation operators, in order to optimize both NP characteristics and the number of differentiated NPs.
Given that higher diversity of NPs will present higher toxicity in real conditions, techniques that maintain the number of differentiated NPs low are employed successfully.
The evolutionary optimization process is utilizing metameric representations and appropriate crossover and mutation operators, in order to optimize both NP characteristics and the number of differentiated NPs.
Given that higher diversity of NPs will present higher toxicity in real conditions, techniques that maintain the number of differentiated NPs low are employed successfully.
Here is the DOI: https://doi.org/10.1016/j.bbe.2021.02.002