Paper Title:
Optimization of Highly Non-Linear Simulation Functions Using Improved Adaptive Response Surface Methodology
  Abstract

Adaptive Response Surface Methodology (ARSM) is a new developed method sequentially estimates the optimum of a complex function in a gradually reduced design space. In this paper, previously developed approach in ARSM has been compare and contrast with a new approach proposed by authors: using inherited Latin Hypercube Design (LHD) points and generating new Maximin LHD points by solving facility location problems in each iteration. Minimum of the response surface which is a second order approximate model based on LHD points in each iteration is an estimation of the real optimum of the complex function. The computation results reveal that the new suggested approach demonstrate more precise estimation of minimum with less number of function calls compare to the ARSM with random LHDs which is an improvement in the efficiency and accuracy of ARSM.

  Info
Periodical
Chapter
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Edited by
Wu Fan
Pages
2662-2669
DOI
10.4028/www.scientific.net/AMM.110-116.2662
Citation
M. S. Manesh, S. M. Motavallian, P. Fattahi, "Optimization of Highly Non-Linear Simulation Functions Using Improved Adaptive Response Surface Methodology", Applied Mechanics and Materials, Vols. 110-116, pp. 2662-2669, 2012
Online since
October 2011
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Price
$32.00
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