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https://hdl.handle.net/10356/84513| Title: | Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems | Authors: | Niu, B. Liang, J. J. Qu, B. Y. Suganthan, P. N. |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2012 | Source: | Liang, J. J., Qu, B. Y., Suganthan, P. N., & Niu, B. (2012). Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. 2012 IEEE Congress on Evolutionary Computation (CEC). | Abstract: | In this paper, Dynamic Multi-Swarm Particle Swarm Optimizer (DMS-PSO) which was first designed for solving single objective optimizations problems is extended to solve Multi-objective optimization problems with constraints. Through analysis, novel pbest and lbest updating criteria which are more suitable for solving Multi-objective optimization problems are proposed. By combining the external archive and the novel updating criteria, excellent performance is achieved by DMS-MO-PSO on eight benchmark test functions. | URI: | https://hdl.handle.net/10356/84513 http://hdl.handle.net/10220/12008 |
DOI: | 10.1109/CEC.2012.6256416 | Rights: | © 2012 IEEE. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
| Appears in Collections: | EEE Conference Papers |
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