The development of an evolutionary algorithm to predict outcomes in meteorological trends

This paper addresses the use evolutionary algorithm to accurately predict natural phenomena. Evolutionary algorithms are techniques based on patterns found in nature and are useful in analyzing trends in data. Evolution is an optimization process that finds solutions to problems by employing a set of mutation and reproduction rules over a series of generations. Non-monotonic reasoning is also an area examined as a possible way to implement the rule-based system. This paper investigates the use of evolutionary algorithms, programmed in Java, to predict outcomes in weather patterns. The tie-in to the prediction of insurgent activities follows.