THIS PAPER INTRODUCES AN APPROACH TO IMPLEMENT A GENETIC ALGORITHM (GA), AN EFFICIENT SEARCH ALGORITHM THAT EMULATES NATURE'S PRINCIPLE OF EVOLUTION OVER GENERATIONS OF A SPECIES, AND MAKES IMPROVEMENT SUGGESTIONS ON ORIGINAL GA. THE RESULTS SHOW THAT GA IS ABLE TO BE IMPLEMENTED EASILY AND WORK WELL ACROSS A BROAD SPECTRUM OF PROBLEMS MORE EFFICIENTLY THAN TRADITIONAL METHODS.
