Implication of Fuzzy Logic in Ga for Solving Mathematical Problems

This paper presents a robust and novel
approach to find the roots of mathematical equations
using genetic algorithm. A modified approach of
genetic algorithm has been provided where fuzzy
logic has been used for chromosomes selection. A
GA formula has also been presented to solve
equations with multiple iterations in order to justify
the error versus iteration graph. Finally, a
comparison between the results of solving the same
equation by GA with fuzzy logic and those without
fuzzy logic has been furnished. Experimental results
demonstrate that GA with fuzzy logic is more
successful and efficient than that without fuzzy logic
for solving equations.