Finding Roots of Complex Chemistry Equations Based on Evolution Strategies

Abstract

In chemistry, there are some algebra questions about equation roots that need to be solved. So far, there are some traditional methods such as graphic method and Newton iteration method and so on. As well known, the traditional methods have some shortcomings such as being easily affected by initial value and not being able to obtain very high precision. In this paper, evolution strategy algorithm is applied to solve the problems of complex chemistry equation roots by transforming them into the function optimization ones, making full use of such characteristics of the evolution strategy as being self-adaptive to gradually approach the optimal solution through optimized selection, recombination, and mutation. Finally, several computer simulation results show that the method in this paper has rapid convergence speed and powerful performance.