Body fat is a decisive determinant in the identification of umpteen health ailments. A euphemism copiously addressed in various parts of the world with colossal awareness for agglomeration of body fat in the human body is obesity. It can be termed as a health gremlin that originates from physical stasis, detrimental food habits, genetic constitution and retrenches an individual's diurnal schedule. For a person to remain healthy, continual observation and analysis of body fat are incumbent. The quondam work of study exhorted the use of parameters such as BMI, age and gender to obtain the body fat percentage for an individual. But the deficit of this existing formula in discerning a healthy person with more muscles and less body fat, from an obese person is a momentous impediment to scientific progress and well-being. This paper asseverates the analysis of residuals and goodness-of-fit for the existing body fat formula to that of the parameter optimized derived body fat formula. Thereby substantiating that the melioration of the variables using a genetic algorithm corresponds to the impeccable standards established by using lipid counts from the body and the Bio-Electric Impedance Analysis (BIA) method. The above exploration has also aided in dissecting a vital integrant from the BIA method known as the muscle mass percentage which has envisaged the recognition of a disease called sarcopenia. The proposed study also stratifies sarcopenia in adult patients and produces the classification performance using the Island Differential Evolution (IDE) algorithm. Blood samples for lipid tests and the values from the BIA method from adult patients were drawn from The Institute of Biochemistry, Madras Medical College. The simulation results are efficiently acquired from MATLAB GUI.