BGSA: Binary gravitational search algorithm

Natural Computing

Volumn 9, Issue 3, 2010, Pages 727-745

  Rashedi, Esmat ^a   Nezamabadi Pour, Hossein ^a   Saryazdi, Saeid ^a  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

Gravitational search algorithm; Heuristic search algorithms; Law of gravity; Optimization

Indexed keywords

ALGORITHM; COMPARATIVE STUDY; CONTROLLED STUDY; EXPERIMENT; GRAVITY; MASS; MOTION; NONLINEAR SYSTEM; REVIEW;

EID: 77955923868     PISSN: 15677818     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11047-009-9175-3     Document Type: Review

References (25)

1. P Avishek J Maiti 2010 Development of a hybrid methodology for dimensionality reduction in Mahalanobis-Taguchi system using Mahalanobis distance and binary particle swarm optimization Expert Syst Appl 37 2 1286 1293 10.1016/j.eswa.2009.06.011
2. M Beretaa T Burczynski 2007 Comparing binary and real-valued coding in hybrid immune algorithm for feature selection and classification of ECG signals Eng Appl Artif Intell 20 571 585 10.1016/j.engappai.2006.11.004
3. YM Cheng L Li, et al. 2007 Performance studies on six heuristic global optimization methods in the location of critical slip surface Comput Geotech 34 6 462 484 10.1016/j.compgeo.2007.01.004
4. LH Chuang HW Chang, et al. 2008 Improved binary PSO for feature selection using gene expression data Comput Biol Chem 32 1 29 38 1142.92319 10.1016/j.compbiolchem.2007.09.005
5. JG Digalakis KG Margaritis 2002 An experimental study of benchmarking functions for genetic algorithms Int J Comput Math 79 4 403 416 1147.68881 10.1080/00207160210939 1898119
6. M Dorigo V Maniezzo, et al. 1996 The Ant system: optimization by a colony of cooperating agents IEEE Trans Syst Man Cybern B 26 1 29 41 10.1109/3477.484436
7. E Elbetagi T Hegazy, et al. 2005 Comparison among five evolutionary-based optimization algorithms Adv Eng Inf 19 43 53 10.1016/j.aei.2005.01.004
8. Engelbrecht AP (2005) Fundamentals of computational swarm intelligence. Wiley, Chichester, UK
9. JD Farmer NH Packard, et al. 1986 The immune system, adaptation, and machine learning Phys D 22 187 204 10.1016/0167-2789(86)90240-X 878160
10. Goldberg D (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, MA
11. Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan Press, Ann Arbor, Michigan
12. Holliday D, Resnick R et al (1993) Fundamentals of physics. Wiley, New York
13. Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, vol 4, pp 1942-1948
14. Kennedy J, Eberhart RC (1997) A discrete binary version of the particle swarm algorithm. In: IEEE international conference on computational cybernetics and simulation, vol 5, pp 4104-4108
15. S Kirkpatrick CD Gelatto, et al. 1983 Optimization by simulated annealing Science 220 671 680 10.1126/science.220.4598.671 702485
16. E Rashedi H Nezamabadi-pour, et al. 2009 GSA: a gravitational search algorithm Inf Sci 179 13 2232 2248 1177.90378 10.1016/j.ins.2009.03.004
17. Schutz B (2003) Gravity from the ground up. Cambridge University Press, Cambridge
18. KG Srinivasa KR Venugopal, et al. 2007 A self-adaptive migration model genetic algorithm for data mining applications Inf Sci 177 20 4295 4313 1119.68389 10.1016/j.ins.2007.05.008
19. X Wang J Yang, et al. 2007 Feature selection based on rough sets and particle swarm optimization Pattern Recogn Lett 28 459 471 10.1016/j.patrec. 2006.09.003
20. DH Wolpert WG Macready 1997 No free lunch theorems for optimization IEEE Trans Evol Comput 1 67 82 10.1109/4235.585893
21. TH Wu CC Chang, et al. 2008 A simulated annealing algorithm for manufacturing cell formation problems Expert Syst Appl 34 3 1609 1617 10.1016/j.eswa.2007.01.012 2420108
22. X Yao Y Liu, et al. 1999 Evolutionary programming made faster IEEE Trans Evol Comput 3 82 102 10.1109/4235.771163
23. H Youssef SM Sait, et al. 2001 Evolutionary algorithms, simulated annealing and tabu search: a comparative study Eng Appl Artif Intell 14 167 181 10.1016/S0952-1976(00)00065-8
24. X Yuan Nie, et al. 2009 An improved binary particle swarm optimization for unit commitment problem Expert Syst Appl 36 4 8049 8055 10.1016/j.eswa.2008. 10.047
25. XP Zeng YM Li, et al. 2009 A dynamic chain-like agent genetic algorithm for global numerical optimization and feature selection Neurocomputing 72 214 1228 10.1016/j.neucom.2008.02.010