Modifications in Genetic Algorithm using additional parameters to make them computationally efficient

This paper describes a novel approach towards the modification of Genetic Algorithms. The novelty of the modified Genetic Algorithm lies in the addition of a new parameter called the age of the chromosome that would select its ability to reproduce. Also, the concept of dynamic population and elitism size has been introduced. The modified Genetic Algorithm converges to the near optimum value at a faster rate, i.e. lesser number of generations are required for the convergence and due to the concept of dynamic population size the results obtained are more accurate. Thus, the modified algorithm is observed to be computationally more efficient. The algorithm was tested for some standard functions and curves and the results were found to be highly satisfactory.