Fitness Value Optimization for Disc Set in Board Game through Evolutionary Learning

The Artificial Intelligence research field since ages has incorporated a series of novel and trend setting distinct approaches including neural networks, fuzzy logic and genetic algorithms to apply them to various problem-solving domains. Machine learning techniques such as evolutionary learning, neural networks and reinforcement learning alone are difficult to apply to board games because they need an extremely large number of computations which are having tendency to increase exponentially in numbers as the search depth increases to find better move(s). Many board game researchers find that machine learning approach through evolutionary learning using some optimization methods like genetic algorithm gives better