A Hybrid Direct Search and Model-Based Derivative-Free Optimization Method with Dynamic Decision Processing and Application in Solid-Tank Design

A derivative-free optimization (DFO) method is an that does not make use of derivative information in order to find the optimal solution. It advantageous for solving real-world problems which only available about objective function output a specific input. In this paper, we develop framework DFO called DQL method. designed be versatile hybrid capable performing direct search, quadratic-model and line search all same We test series different strategies within framework. The benchmark results indicate each these has distinct advantages there no clear winner overall performance among efficiency robustness. Smart by allowing determine various circumstances. applied problem solid-tank design 3D radiation dosimetry provided UBCO (University British Columbia—Okanagan) Radiation Dosimetry Research Group. Given limited evaluation budget, produces high-quality solutions.