Some aspects of niching genetic algorithms applied to electromagnetic device optimization

Non Linear Magnetic Hysteresis Modelling by Finite Volume Method for Jiles-Atherton Model Optimizing by a Genetic Algorithm

“…The schematic representation of the parameters identifycation procedure is shown in [8,9], the first step is the characterization of the individuals that will form the population. The individuals θ are composed by the five parameters of the J-A model (in real coding, it is not necessary to code the variables in binary representation) [6], [10].…”

Improvement and Application of Genetic Algorithms in Reactive Power Optimization of Power Network

“…Adjusting the transform tap and compensation capacity reduces the active power loss in power system. The control variables are generator bus voltages, transform taps and value of compensation capacity and the system limitation is appended to the objective function F as punished function [8]. is minimal and maximal magnitude voltage of bus i.…”

“…It is also called P-Q decoupled method, the foundation of which is polar coordinates of Newton-Raphson method. P-Q decoupled equation is educed by predigesting the Newton-Raphson equation [8].…”

“…In order to assure the stability and variety of population and avoid the early convergence, the substitute way based on niche is applied [8]. The individual with the best fitness is preserved synchronously, which guarantee the algorithm will converge at the global optimal solution with probability of 1.…”