Competitive and cooperative particle swarm optimization with information sharing mechanism for global optimization problems

Information Sciences

Volumn 293, Issue , 2015, Pages 370-382

  Li, Yuhua ^a,b   Zhan, Zhi Hui ^b   Lin, Shujin ^b   Zhang, Jun ^b   Luo, Xiaonan ^a,b  

^a National Engineering Research Center of Digital Life   (China)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

Competition; Cooperation; Global optimization problems; Information sharing; Particle swarm optimization (PSO)

Indexed keywords

COMPETITION; GLOBAL OPTIMIZATION; INFORMATION ANALYSIS; INFORMATION DISSEMINATION;

COOPERATION; COOPERATIVE PARTICLE SWARM OPTIMIZATIONS; EFFECTIVENESS AND EFFICIENCIES; GLOBAL OPTIMIZATION PROBLEMS; INFORMATION SHARING; INFORMATION SHARING MECHANISM; OPTIMIZATION FUNCTION; PRE-MATURE CONVERGENCES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84911922776     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.09.030     Document Type: Article

References (43)

1. P.S. Andrews, An investigation into mutation operators for particle swarm optimization, in: Proccedings of the IEEE Congress on Evolutionary Computation, 2006, pp. 1044-1051.
2. P.J. Angeline, Using selection to improve particle swarm optimization, in: Proceedings of IEEE International Conference on Evolutionary Computation, 1998, pp. 1945-1950.
3. Z. Beheshti, and S.M. Hj Shamsuddin CAPSO: centripetal accelerated particle swarm optimization Inform. Sci. 258 2014 54 79
4. R. Brits, A.P. Engelbrecht, and F. van den Bergh Locating multiple optima using particle swarm optimization Appl. Math. Comput. 189 2007 1859 1883
5. J.C. Chang A robust adaptive array beamformer using particle swarm optimization for space-time code division multiple access systems Inform. Sci. 278 2014 174 186
6. W.R. Charlesworth Co-operation and competition: contributions to an evolutionary and developmental model Int. J. Behav. Dev. 19 1996 25 38
7. M.Y. Chen A hybrid anfis model for business failure prediction utilizing particle swarm optimization and subtractive clustering Inform. Sci. 220 2013 180 195
8. R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 1995, pp. 39-43.
9. S.M. Elsayed, R.A. Sarker, and E. Mezura-Montes Self-adaptive mix of particle swarm methodologies for constrained optimization Inform. Sci. 277 2014 216 233
10. A.P. Engelbrecht Fundamentals of Computational Swarm Intelligence 2006 John Wiley & Sons
11. H. Gao, S. Kwong, J. Yang, and J. Cao Particle swarm optimization based on intermediate disturbance strategy algorithm and its application in multi-threshold image segmentation Inform. Sci. 250 2013 82 112
12. M. Hadwan, M. Ayob, N.R. Sabar, and R. Qu A harmony search algorithm for nurse rostering problems Inform. Sci. 233 2013 126 140
13. T. Hogg, C.P. Williams, Solving the really hard problems with cooperative search, in: Proceedings of the National Conference on Artificial Intelligence, 1993, pp. 231-236.
14. J. Kennedy, Stereotyping: improving particle swarm performance with cluster analysis, in: Proceedings of the IEEE Congress on Evolutionary Computation, 2000, pp. 1507-1512.
15. J. Kennedy, Bare bones particle swarms, in: Proceedings of the IEEE Swarm Intelligence Symposium, 2003, pp. 80-87.
16. J. Kennedy, R. Eberhart, et al., Particle swarm optimization, in: Proceedings of the IEEE International Conference on Neural Networks, 1995, pp. 1942-1948.
17. J. Kennedy, R. Mendes, Population structure and particle swarm performance, in: Proceedings of the IEEE Congress on Evolutionary Computation, 2002, pp. 1671-1676.
18. G. Koulinas, L. Kotsikas, and K. Anagnostopoulos A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem Inform. Sci. 277 2014 680 693
19. K. Li, S. Kwong, J. Cao, M. Li, J. Zheng, and R. Shen Achieving balance between proximity and diversity in multi-objective evolutionary algorithm Inform. Sci. 182 2012 220 242
20. X.L. Li, and X.D. He A hybrid particle swarm optimization method for structure learning of probabilistic relational models Inform. Sci. 283 2014 258 266
21. J.J. Liang, A.K. Qin, P.N. Suganthan, and S. Baskar Comprehensive learning particle swarm optimizer for global optimization of multimodal functions IEEE Trans. Evol. Comput. 10 2006 281 295
22. F.Q. Lu, M. Huang, W.K. Ching, and T.K. Siu Credit portfolio management using two-level particle swarm optimization Inform. Sci. 237 2013 162 175
23. Q. Lu, Q.L. Han, and S. Liu A finite-time particle swarm optimization algorithm for odor source localization Inform. Sci. 277 2014 111 140
24. R. Mendes, J. Kennedy, and J. Neves The fully informed particle swarm: simpler, maybe better IEEE Trans. Evol. Comput. 8 2004 204 210
25. M. Nasir, S. Das, D. Maity, S. Sengupta, U. Halder, and P.N. Suganthan A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization Inform. Sci. 209 2012 16 36
26. D. Parrott, and X. Li Locating and tracking multiple dynamic optima by a particle swarm model using speciation IEEE Trans. Evol. Comput. 10 2006 440 458
27. T. Peram, K. Veeramachaneni, and C.K. Mohan Fitness-distance-ratio based particle swarm optimization Proceedings of the IEEE Swarm Intelligence Symposium 2003 IEEE 174 181
28. B.Y. Qu, J.J. Liang, and P.N. Suganthan Niching particle swarm optimization with local search for multi-modal optimization Inform. Sci. 197 2012 131 143
29. A. Ratnaweera, S. Halgamuge, and H.C. Watson Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients IEEE Trans. Evol. Comput. 8 2004 240 255
30. T. Ray, K. Liew, A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimisation problems, in: Proceedings of the IEEE Congress on Evolutionary Computation, 2001, pp. 75-80.
31. R. Salomon Reevaluating genetic algorithm performance under coordinate rotation of benchmark functions BioSystems 39 1996 263 278
32. M. Shen, Z.H. Zhan, W.N. Chen, Y.J. Gong, J. Zhang, and Y. Li Bi-velocity discrete particle swarm optimization and its application to multicast routing problem in communication networks IEEE Trans. Ind. Electron. 61 2014 7141 7151
33. Y. Shi, R. Eberhart, A modified particle swarm optimizer, in: Proceedings of the IEEE International Conference on Evolutionary Computation, 1998, pp. 69-73.
34. P.K. Tripathi, S. Bandyopadhyay, and S.K. Pal Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients Inform. Sci. 177 2007 5033 5049
35. A.M. Turky, and S. Abdullah A multi-population harmony search algorithm with external archive for dynamic optimization problems Inform. Sci. 272 2014 84 95
36. H. Wang, H. Sun, C. Li, S. Rahnamayan, and J.S. Pan Diversity enhanced particle swarm optimization with neighborhood search Inform. Sci. 223 2013 119 135
37. L. Wang, B. Yang, and Y. Chen Improving particle swarm optimization using multi-layer searching strategy Inform. Sci. 274 2014 70 94
38. X.Z. Wang, Y.L. He, L.C. Dong, and H.Y. Zhao Particle swarm optimization for determining fuzzy measures from data Inform. Sci. 181 2011 4230 4252
39. X. Yao, Y. Liu, and G. Lin Evolutionary programming made faster IEEE Trans. Evol. Comput. 3 1999 82 102
40. Z.H. Zhan, J. Li, J. Cao, J. Zhang, H.H. Chung, and Y.H. Shi Multiple populations for multiple objectives: a coevolutionary technique for solving multiobjective optimization problems IEEE Trans. Cybernet. 43 2013 445 463
41. Z.H. Zhan, J. Zhang, Y. Li, and H. Chung Adaptive particle swarm optimization IEEE Trans. Syst. Man Cybernet. Part B: Cybernet. 39 2009 1362 1381
42. Z.H. Zhan, J. Zhang, Y. Li, and Y.H. Shi Orthogonal learning particle swarm optimization IEEE Trans. Evol. Comput. 15 2011 832 847
43. Y. Zhang, D.W. Gong, and Z. Ding A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch Inform. Sci. 192 2012 213 227