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Efficient Optimization Algorithm of Uniform Experiment Design on High Dimension Irregular Region
Date Issued
2011
Date
2011
Author(s)
Hsu, Yen-Wen
Abstract
In experiment designs, irregular shapes of experimental regions are often observed. Using a recently proposed discrepancy measurement Central Composite Discrepancy as uniformity criterion, we propose a Discrete Particle Swarm Optimization algorithm for optimizing experimental designs on the general input domains. Numerical results show evidences that the new proposed algorithm is superior to other optimization algorithm in established literature. For the high computation cost of computing Central Composite Discrepancy on higher dimensions, using Graphic Processing Unit for acceleration enable us to find uniform design on higher dimensions in reasonable time.
Subjects
Uniform Experiment Design
Discrete Particle Swarm Optimization
Optimization Problem
Graphic Processing Unit
Paral- lel Computing
Type
thesis
File(s)
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Name
ntu-100-R98221031-1.pdf
Size
23.54 KB
Format
Adobe PDF
Checksum
(MD5):507f4d8a6096a6db68039c212febfa00