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A hybrid immune–evolutionary strategy algorithm for the analysis of the wide‐angle X‐ray diffraction curves of semicrystalline polymers
Author(s) -
Rabiej Małgorzata
Publication year - 2014
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s1600576714014782
Subject(s) - diffraction , genetic algorithm , algorithm , amorphous solid , computer science , artificial immune system , crystallinity , evolutionary algorithm , materials science , mathematical optimization , mathematics , optics , artificial intelligence , physics , chemistry , crystallography , machine learning , composite material
Decomposition of wide‐angle X‐ray diffraction curves into crystalline peaks and amorphous components is one of the most difficult nonlinear optimization problems. For this reason, the elaboration of a reliable method that provides fast unambiguous solutions remains an important and topical task. This work presents a hybrid system dedicated to this aim, combining two methods of artificial intelligence – evolution strategies and an immune algorithm – with the classical method of Rosenbrock. A combination of the mechanisms of these three methods has given a very effective and convergent algorithm that performs very well a multicriterial optimization. Tests have shown that it is faster to converge and less ambiguous than the genetic algorithm.