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Title:
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GENETIC ALGORITHM VS. DIFFERENTIAL EVOLUTION IN COMPUTATION OF THE BEST SOLUTION FOR X-RAY DIFFRACTION PEAKS PARAMETERS |
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Author(s):
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Sidolina P. Santos , Juan A. Gomez-pulido , Miguel A. Vega-rodríguez , Juan M. Sánchez Pérez , Florentino Sánchez-bajo |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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X-ray diffraction profiles. Genetic Algorithm. Differential Evolution. |
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Type:
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Short Paper |
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First Page:
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421 |
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Last Page:
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425 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The X-ray is a technique used a lot in some areas (physical, materials science, medicine) to obtain information about the
particle in which the X-ray hit. X-ray diffraction can be measured and represented in a graph where the minimum and
maximum intensities of the rays are shown. The particle information is obtained through parameters that originated the
peaks in the graph. But, in this graph some peaks can be severely overlapped. The problem is to define which parameters
originated these peaks and how much peaks exist in the graph. If the peaks are overlapped there will be a set of good
solutions and it will be necessary to decide from that set which will be the best one. We propose to use metaheuristic
algorithms to solve this problem. We used Genetic Algorithms and Differential Evolution, and show the results obtained
using different configurations of these techniques. We compare the performance of these techniques using the fitness
value, execution time and resulting parameters. The best results found were presented by Differential Evolution. |
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