TY - JFULL AU - A. Junaid and M. A. Z. Raja and I. M. Qureshi PY - 2009/8/ TI - Evolutionary Computing Approach for the Solution of Initial value Problems in Ordinary Differential Equations T2 - International Journal of Electrical and Computer Engineering SP - 1476 EP - 1480 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/12849 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 31, 2009 N2 - An evolutionary computing technique for solving initial value problems in Ordinary Differential Equations is proposed in this paper. Neural network is used as a universal approximator while the adaptive parameters of neural networks are optimized by genetic algorithm. The solution is achieved on the continuous grid of time instead of discrete as in other numerical techniques. The comparison is carried out with classical numerical techniques and the solution is found with a uniform accuracy of MSE ≈ 10-9 . ER -