Hu, XuemeiHuang, LanWang, YanPang, Wei2020-05-162020-05-162019-08-31Hu, X, Huang, L, Wang, Y & Pang, W 2019, 'Explosion gravitation field algorithm with dust sampling for unconstrained optimization', Applied Soft Computing, vol. 81, 105500. https://doi.org/10.1016/j.asoc.2019.1055001568-4946Mendeley: cb9e937b-6fbe-3756-9798-c61a24a01062ORCID: /0000-0002-1761-6659/work/59923311https://hdl.handle.net/2164/14324This research was funded by the National Natural Science Foundation of China (Nos. 61572227, 61772227, 61702214), the Development Project of Jilin Province of China (Nos 20170101006JC, 20180414012GH, 20170203002GX, 20190201293JC), Zhuhai Premier-Discipline Enhancement Scheme, China (Grant 2015YXXK02) and Guangdong Premier Key-Discipline Enhancement Scheme, China (Grant 2016GDYSZDXK036). This work was also supported by Jilin Provincial Key Laboratory of Big Date Intelligent Computing, China (No. 20180622002JC).3826669engExplosion gravitation field algorithmUnconstrained optimizationDust SamplingExplosion operationADJUSTED RANDQA75 Electronic computers. Computer scienceSupplementary DataQA75Journal article10.1016/j.asoc.2019.105500http://www.mendeley.com/research/explosion-gravitation-field-algorithm-dust-sampling-unconstrained-optimization81