BGSA: binary gravitational search algorithm

作者: Esmat Rashedi , Hossein Nezamabadi-pour , Saeid Saryazdi

DOI: 10.1007/S11047-009-9175-3

关键词:

摘要: … search algorithm is one of the new optimization algorithms that is based on the law of gravity and mass interactions. In this algorithm, … In this article, a binary version of the algorithm is …

参考文章(25)
Bernard F. Schutz, Gravity from the ground up ,(2003)
Xiangyang Wang, Jie Yang, Xiaolong Teng, Weijun Xia, Richard Jensen, Feature selection based on rough sets and particle swarm optimization Pattern Recognition Letters. ,vol. 28, pp. 459- 471 ,(2007) , 10.1016/J.PATREC.2006.09.003
Michał Bereta, Tadeusz Burczyński, Comparing binary and real-valued coding in hybrid immune algorithm for feature selection and classification of ECG signals Engineering Applications of Artificial Intelligence. ,vol. 20, pp. 571- 585 ,(2007) , 10.1016/J.ENGAPPAI.2006.11.004
Xin Yao, Yong Liu, Guangming Lin, Evolutionary programming made faster IEEE Transactions on Evolutionary Computation. ,vol. 3, pp. 82- 102 ,(1999) , 10.1109/4235.771163
Tai-Hsi Wu, Chin-Chih Chang, Shu-Hsing Chung, A simulated annealing algorithm for manufacturing cell formation problems Expert Systems With Applications. ,vol. 34, pp. 1609- 1617 ,(2008) , 10.1016/J.ESWA.2007.01.012
Xiaohui Yuan, Hao Nie, Anjun Su, Liang Wang, Yanbin Yuan, An improved binary particle swarm optimization for unit commitment problem Expert Systems With Applications. ,vol. 36, pp. 8049- 8055 ,(2009) , 10.1016/J.ESWA.2008.10.047
S. Kirkpatrick, C. D. Gelatt, M. P. Vecchi, Optimization by Simulated Annealing Science. ,vol. 220, pp. 671- 680 ,(1983) , 10.1126/SCIENCE.220.4598.671