Gravitational Search Algorithm: A State-of-the-Art Review

被引：8
作者：
Bala, Indu [1 ]
Yadav, Anupam [2 ]
机构：
[1] Northcap Univ, Gurgaon 122017, India
[2] Natl Inst Technol Uttarakhand, Srinagar 246174, India
来源：
HARMONY SEARCH AND NATURE INSPIRED OPTIMIZATION ALGORITHMS | 2019年 / 741卷
关键词：
Gravitational search algorithm (GSA); Applications; Hybridization Modification GSA; Evolutionally optimization; Nature inspired computational search; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1007/978-981-13-0761-4_3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Gravitational search algorithm (GSA) is a recent algorithm introduced in 2009 by Rashedi et al. It is a heuristic optimization algorithm based on Newton's laws of motion and law of Gravitation. Till now, a lot of changes have been done in original GSA to improve its speed of convergence and its quality of solution; also this algorithm is still exploring in many fields. Therefore, this article is intended to provide the current state of algorithm, modifications, advantages, disadvantages, and its future possibilities of research.
引用
收藏
页码：27 / 37
页数：11
相关论文
共 28 条
[1]  
Amoozegar M., 2012, 2012 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP), P134, DOI 10.1109/AISP.2012.6313732
[2]  
[Anonymous], 2011, INT J PHYS SCI
[3]  
Azlina N., 2013, 1 INT C ART INT MOD
[4]  
David Radu-Codrut, 2012, Proceedings of the ICINCO 2012 9th International Conference on Informatics in Control, Automation and Robotics, P136
[5]   GGSA: A Grouping Gravitational Search Algorithm for data clustering [J].
Dowlatshahi, Mohammad Bagher ;
Nezamabadi-pour, Hossein .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2014, 36 :114-121
[6]  
Gauci M., 2012, WHY GSA GRAVITATIONA
[7]  
Ghalambaz M., 2011, World Academy of Science, Engineering and Technology, P803
[8]  
Guo Z, 2012, INT J DIG CONTENT TE, V6, P620, DOI DOI 10.4156/JDCTA.V0L6.ISSUE17.68
[9]  
Gupta A., 2017, COMPUT COMMUN AUTOM
[10]  
Hassanzadeh H.R., 2010, 2 INT C COMP INT COM
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