  The surrogate-based analysis and optimization of thermal damage in living
biological tissue by laser irradiation are discussed in this paper. Latin
Hypercube Sampling (LHS) and Response Surface Model (RSM) are applied to study
surrogate-based optimization of thermal damage in tissue using a generalized
dual phase lag model. Response value of high temperature as a function of input
variables and relationship of maximum temperature and thermal damage as a
function of input variables are investigated. Comparison of SBO model and
simulation results for different sample sizes are examined. The results show
that every input variable individually has quadratic response of maximum
temperature and maximum thermal damage in highly absorbing tissues.
