Abstract – This paper introduces the Slice Genetics Algorithm SGA which represents
the proposed modification to the classic Genetic Algorithm GA scheme. The proposed
algorithm has reduced the population size and maximum iteration in order to get fast
and an optimal solution. This algorithm has been ...
Read More ...
Abstract – This paper introduces the Slice Genetics Algorithm SGA which represents
the proposed modification to the classic Genetic Algorithm GA scheme. The proposed
algorithm has reduced the population size and maximum iteration in order to get fast
and an optimal solution. This algorithm has been used for determining the optimal
proportional- integral- derivative PID controller parameters. The proposed algorithm
has versatile features, including, fast, stable rate convergence characteristic also it has
good computational efficiency in improving the dynamic behavior for the system in
term of reducing the maximum overshoot, rise time, settling time and steady-states
error. The algorithm not only has benefit to improve the convergence characteristic,
accuracy but it also shortened the processing time towards the optimal value based
reducing the number of iteration from 40 to 4 or 6 iteration as clear in the MATLAB
simulation results..
