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Entropy 2014, 16(12), 6477-6496; doi:10.3390/e16126477

An Evolutionary Algorithm for the Texture Analysis of Cubic System Materials Derived by the Maximum Entropy Principle

1
School of Materials Science and Engineering, Shenyang Aerospace University, Shenyang 110136, China
2
School of Information Science and Engineering, Northeastern University, Shenyang 110189, China
3
School of Materials and Metallurgy, Northeastern University, Shenyang 110189, China
*
Author to whom correspondence should be addressed.
Received: 25 July 2014 / Revised: 15 October 2014 / Accepted: 12 November 2014 / Published: 9 December 2014
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Abstract

Based on the principle of maximum entropy method (MEM) for quantitative texture analysis, the differential evolution (DE) algorithm was effectively introduced. Using a DE-optimized algorithm with a faster but more stable convergence rate of iteration reliable complete orientation distributions (C-ODF) have been obtained for deep-drawn IF steel sheets and the recrystallized aluminum foils after cold-rolling, which are designated as showing a macroscopic cubic-orthogonal symmetry. With special reference to the data processing, no more other assumptions are required for DE-optimized MEM except that the system entropy approach the maximum. View Full-Text
Keywords: orientation distribution function (ODF); differential evolution (DE); maximum entropy method (MEM); initial solution; pole figure orientation distribution function (ODF); differential evolution (DE); maximum entropy method (MEM); initial solution; pole figure
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Wang, D.; Wang, D.; Wu, B.; Wang, F.; Liang, Z. An Evolutionary Algorithm for the Texture Analysis of Cubic System Materials Derived by the Maximum Entropy Principle. Entropy 2014, 16, 6477-6496.

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