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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.
Entropy 2014, 16(12), 6477-6496; https://doi.org/10.3390/e16126477
Received: 25 July 2014 / Revised: 15 October 2014 / Accepted: 12 November 2014 / Published: 9 December 2014
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
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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