Genetic Algorithm: An Approach on Optimization

Solutions for both constrained and unconstrained problems of optimization pose a challenge from the past till date. The genetic algorithm is a technique for solving such optimization problems based on biological laws of evolution particularly natural selection. In simple terms, a genetic algorithm is a successor to the traditional evolutionary algorithm where at each step it will select random solutions from the present population and labels those as parents and uses them to reproduce to the next generation as children with a series of biological operations, namely reproduction, selection, crossover and mutation.