Effect of parameter selection on different topological structures for Particle Swarm Optimization algorithm

1. J. Kennedy and R. Eberhart, Particle swarm optimization, in Proc. IEEE Int’l. Conf. on Neural Networks, 1995.Search in Google Scholar

2. Y. Zhang, S. Wang, and J. Gelin, A comprehensive survey on particle swarm optimization algorithm and its applications, Mathematical Problems in Engineering, vol. 2015, no. ID 931256, pp. 1–38, 2015.10.1155/2015/931256Search in Google Scholar

3. J. Kennedy, Small worlds and mega-minds: Effects of neighborhood topology on particle swarm optimization, in Proc. IEEE Int’l. Conf. on Evolutionary Computations - CEC ’99, vol. 3, pp. 1931–1938, World Scientific, 1999.Search in Google Scholar

4. P. Suganthan, Particle swarm optimizer with neighborhood operator, in Proc. IEEE Int’l. Conf. on Evolutionary Computations - CEC ’99, vol. 3, pp. 1958–1962, 1999.Search in Google Scholar

5. M. D’Orsogna, Y. C. Y., A. Bertozzi, and L. Chayes, Self-propelled particles with soft-core interactions: patterns, stability and collapse, Phys. Rev. Lett., vol. 96, no. 10, 2006.10.1103/PhysRevLett.96.10430216605738Search in Google Scholar

6. D. Peri, An inner-point modification of pso for constrained optimization, Engineering Computations, vol. 32, no. 7, pp. 2005–2019, 2015.10.1108/EC-04-2014-0066Search in Google Scholar

7. D. Peri, M. D. M., and G. Fasano, Comparison between deterministic and stochastic formulations of particle swarm optimization, for multidisciplinary design optimization, in 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, vol. AIAA Paper 2012-5523, pp. 71–78, AIAA, 2012.10.2514/6.2012-5523Search in Google Scholar

8. R. Mendes, J. Kennedy, and J. Neves, The fully informed particle swarm: simpler, maybe better, IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 204–210, 2004.10.1109/TEVC.2004.826074Search in Google Scholar

9. M. M. de Oca and T. S. T., Convergence behavior of the fully informed particle swarm optimization algorithm, in GECCO ’08 Proceedings of the 10th annual conference on Genetic and evolutionary computation, pp. 71–78, 2008.Search in Google Scholar

10. R. Kennedy and R. Mendes, Population structure and particle swarm performance, in Proc. IEEE Int’l. Conf. on Evolutionary Computations - CEC ’02, vol. 2, pp. 1671–1676, 2002.Search in Google Scholar

11. X. Li, Adaptively choosing neighborhood bests using species in a particle swarm optimizer for multi-modal function optimization, in Genetic and Evolutionary Computation – GECCO 2004, pp. 105–116, 2004.10.1007/978-3-540-24854-5_10Search in Google Scholar

12. C. Perttunen, Geometric approach to feasible region division in constrained global optimization, in IEEE International Conference on Systems, Man, and Cybernetics ’Decision Aiding for Complex Systems’, vol. 1, pp. 582–590, 1991.Search in Google Scholar

13. A. D. Mascio, R. Broglia, and B. Favini, A Second Order Godunov-Type Scheme for Naval Hydrodynamics, pp. 253–261. Boston, MA: Springer US, 2001.10.1007/978-1-4615-0663-8_27Search in Google Scholar

14. T. Sederberg and S. Parry, Free-form deformation of solid geometric models, in Proceedings of the 13th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1986, vol. 2(4), pp. 151–160, 1986.10.1145/15886.15903Search in Google Scholar