An improved simulated annealing algorithm for the optimization of mathematical functions

Abstract

In recent years the optimization methods are based on physical mimic natural biological processes among others, seek to strike a balance between exploitation and exploration of the search space to achieve good performance technical search and global optimization. In this work a simulated algorithm (SA) is described to analyze their convergence in mathematical functions, setting parameters were performed manually for Algorithm Benchmark 6 math functions, this algorithm apply high temperatures, the temperature in cooling process is reduced gradually.