Department of Computer Science, Mathematics and Engineering,
Shepherds town, WV 25443
Tanzania
Research Article
Numerical Simulation of a Tumor Growth Dynamics Model Using Particle Swarm Optimization
Author(s): Zhijun Wang and Qing WangZhijun Wang and Qing Wang
Tumor cell growth models involve high-dimensional parameter spaces that require computationally tractable methods to solve. To address a proposed tumor growth dynamics mathematical model, an instance of the particle swarm optimization method was implemented to speed up the search process in the multi-dimensional parameter space to find optimal parameter values that fit experimental data from mice cancel cells. The fitness function, which measures the difference between calculated results and experimental data, was minimized in the numerical simulation process. The results and search efficiency of the particle swarm optimization method were compared to those from other evolutional methods such as genetic algorithms... Read More»
DOI:
10.4172/jcsb.1000213
Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report