Abstract
This work presents an optimization proposal to better the computational convergence time in convection-diffusion and driven-cavity problems by applying a simulated annealing (SA) metaheuristic, obtaining optimal values in relaxation factors (RF) that optimize the problem convergence during its numerical execution. These relaxation factors are tested in numerical models to accelerate their computational convergence in a shorter time. The experimental results show that the relaxation factors obtained by the SA algorithm improve the computational time of the problem convergence regardless of user experience in the initial low-quality RF proposal.
Subject
General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)
Reference25 articles.
1. An Introduction to Computational Fluid Dynamics-The Finite Volume Method;Versteeg,2007
2. Analysis of the temperature distribution in a guarded hot plate apparatus for measuring thermal conductivity
3. Numerical methods in phase-change problems;Crivelli;Arch. Comput. Methods Eng.,1994
4. Multi-level adaptive solutions to boundary-value problems
5. Solution to two-dimensional Incompressible Navier-Stokes Equations with SIMPLE, SIMPLER and Vorticity-Stream Function Approaches. Driven-Lid Cavity Problem: Solution and Visualization;Matyka;Comput. Phys. Sect. Theor. Phys.,2004