TITLE:
Optimal Designs Technique for Locating the Optimum of a Second Order Response Function
AUTHORS:
Idorenyin Etukudo
KEYWORDS:
Optimal Designs of Experiment, Unconstrained Optimization, Response Surface Methodology, Modified Super Convergent Line Series Algorithm, Newton-Raphson Method
JOURNAL NAME:
American Journal of Operations Research,
Vol.7 No.5,
August
23,
2017
ABSTRACT: A more efficient method of locating the optimum of a second order response function was of interest in this work. In order to do this, the principles of optimal designs of experiment is invoked and used for this purpose. At the end, it was discovered that the noticeable pitfall in response surface methodology (RSM) was circumvented by this method as the step length was obtained by taking the derivative of the response function rather than doing so by intuition or trial and error as is the case in RSM. A numerical illustration shows that this method is suitable for obtaining the desired optimizer in just one move which compares favourably with other known methods such as Newton-Raphson method which requires more than one iteration to reach the optimizer.