**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**30576

##### Evolutionary Computing Approach for the Solution of Initial value Problems in Ordinary Differential Equations

**Authors:**
I. M. Qureshi,
A. Junaid,
M. A. Z. Raja

**Abstract:**

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 .

**Keywords:**
Neural Networks,
Numerical Methods,
Evolutionary computing,
unsupervised learning,
Fitness evaluation
function

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1080024

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