Artificial neural networks are complex networks emulating the manner human rational neurons process data. They have been widely used in prediction, clustering, classification, and association. The training algorithms that determine the network weights are almost the most important factor that influences the neural network's performance. Lately several meta-heuristic and Evolutionary algorithms are employed to optimize neural networks weights to realize higher neural performance.To solve complex computational problems many meta-heuristic optimization algorithms have been developed. A...