A New Model for Population Analysis among Different States in India using Machine Learning Algorithm

In this work Data from 2011 census is taken to identify the state which influences more in Population
census among the different states identified. The data is considered from Madhya Pradesh, followed
with Utter Pradesh, then to Bihar, Bengal and Orissa. Similarly other case studies are also done for
Southern Indian states and North Eastern States. Genetic algorithm will be tried to find the optimal
location for the given study. A fitting function is calculated for the population data of 2011 using
Lagrange Interpolation technique. This fitting function is given as input to Genetic algorithm to find the
optimal state which have maximum influence in the population growth among different states of India.
The study also discussed various factors which influence population growth with respect to a place.