The merits and limitations of genetic algorithms used in optimizing the connection weights of the neural network are discussed. Mutative scale chaos optimization is introduced to form a new hybrid genetic algorithm-chaos genetic algorithm which is applied to predict reserves of hydrocarbon. Good result is obtained based on improved feed-forward neural network.