<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zexuan Zhu</style></author><author><style face="normal" font="default" size="100%">Zhen Ji</style></author><author><style face="normal" font="default" size="100%">Xiaofeng Fan</style></author><author><style face="normal" font="default" size="100%">Jer-Lai Kuo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Memetic figure selection for cluster expansion in binary alloy systems</style></title><secondary-title><style face="normal" font="default" size="100%">Memetic Computing (MC), 2011 IEEE Workshop on</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">alloys</style></keyword><keyword><style  face="normal" font="default" size="100%">binary alloy system</style></keyword><keyword><style  face="normal" font="default" size="100%">Biological cells</style></keyword><keyword><style  face="normal" font="default" size="100%">cluster expansion model</style></keyword><keyword><style  face="normal" font="default" size="100%">Gallium</style></keyword><keyword><style  face="normal" font="default" size="100%">genetic algorithm</style></keyword><keyword><style  face="normal" font="default" size="100%">genetic algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">iterative methods</style></keyword><keyword><style  face="normal" font="default" size="100%">Matching pursuit algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">materials modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">MATERIALS SCIENCE</style></keyword><keyword><style  face="normal" font="default" size="100%">memetic algorithm</style></keyword><keyword><style  face="normal" font="default" size="100%">memetic figure selection</style></keyword><keyword><style  face="normal" font="default" size="100%">Memetics</style></keyword><keyword><style  face="normal" font="default" size="100%">OMP based memetic operation</style></keyword><keyword><style  face="normal" font="default" size="100%">orthogonal matching pursuit</style></keyword><keyword><style  face="normal" font="default" size="100%">quantum calculation theory</style></keyword><keyword><style  face="normal" font="default" size="100%">quantum theory</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><pages><style face="normal" font="default" size="100%">1-6</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Cluster expansion provides a powerful tool in materials modeling. It has enabled an efficient prediction of the atomic properties of materials with the combination of the modern quantum calculation theory. To construct an accurate cluster expansion model, a few important cluster figures should be identified. This paper proposes a novel figure selection method based on memetic algorithm (MA), which is a synergy of genetic algorithm (GA) and orthogonal matching pursuit (OMP) based memetic operation. The memetic operation is designed to fine-tunes the solutions of GA and accelerate the convergence of the search. The performance of the proposed method is evaluated on two binary alloy datasets. Comparative study to other state-of-the-art figure selection methods demonstrates that the proposed method is capable of obtaining better or competitive prediction accuracy and searching the figure space efficiently.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;n/a&lt;/p&gt;
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