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2009 Fifth International Conference on Natural Computation
Enhancing Particle Swarm Optimization with Gradient Information
Tianjian, China
August 14-August 16
ISBN: 978-0-7695-3736-8
| ASCII Text | x | ||
| Erwie Zahara, Yi-Tung Kao, Jhong-Ren Su, "Enhancing Particle Swarm Optimization with Gradient Information," 2013 International Conference on Computing, Networking and Communications (ICNC), vol. 3, pp. 251-254, 2009 Fifth International Conference on Natural Computation, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ICNC.2009.711, author = {Erwie Zahara and Yi-Tung Kao and Jhong-Ren Su}, title = {Enhancing Particle Swarm Optimization with Gradient Information}, journal ={2013 International Conference on Computing, Networking and Communications (ICNC)}, volume = {3}, year = {2009}, isbn = {978-0-7695-3736-8}, pages = {251-254}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICNC.2009.711}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2013 International Conference on Computing, Networking and Communications (ICNC) TI - Enhancing Particle Swarm Optimization with Gradient Information SN - 978-0-7695-3736-8 SP251 EP254 A1 - Erwie Zahara, A1 - Yi-Tung Kao, A1 - Jhong-Ren Su, PY - 2009 KW - Newton's method KW - particle swarm optimization KW - multimodal function VL - 3 JA - 2013 International Conference on Computing, Networking and Communications (ICNC) ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICNC.2009.711
Heuristic optimization provides a robust and efficient approach for solving complex real-world problems. This paper proposes an enhanced particle swarm optimization with gradient information (GPSO). Newton’s method is embedded in the velocity update equation to improve the effect of cognition influence. The performance of GPSO is tested using six benchmark multimodal functions and the numerical results comparison with other optimization methods demonstrate the effectiveness and efficiency of the proposed GPSO method.
Index Terms:
Newton's method, particle swarm optimization, multimodal function
Citation:
Erwie Zahara, Yi-Tung Kao, Jhong-Ren Su, "Enhancing Particle Swarm Optimization with Gradient Information," icnc, vol. 3, pp.251-254, 2009 Fifth International Conference on Natural Computation, 2009
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