This paper presents a robust and novelapproach to find the roots of mathematical equationsusing genetic algorithm. A modified approach ofgenetic algorithm has been provided where fuzzylogic has been used for chromosomes selection. AGA formula has also been presented to solveequations with multiple iterations in order to justifythe error versus iteration graph. Finally, acomparison between the results of solving the sameequation by GA with fuzzy logic and those withoutfuzzy logic has been furnished. Experimental resultsdemonstrate that GA with fuzzy logic is moresuccessful and efficient than that without fuzzy logicfor solving equations.