Genetic Algorithms (GA) are a powerful class of optimization algorithms inspired by the principles of natural selection and genetics. Developed by John Holland in the 1960s and 1970s, GAs are used to ...

This GA toolbox is a free and open-source optimization tool originally developed during Colherinhas' master's dissertation (available in refs/2016_Master_FERRAMENTA ...

Abstract: The mathematic model of a two-bar truss is built in MATLAB and the analysis is carried out by the genetic algorithm toolbox. In order to compare with each other, the parametric model of the ...

Abstract: This paper proposes a method for optimizing the parameters of a PID controller used in Load Frequency Control (LFC) for a simplified power system. The optimization is performed using a ...