A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments

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dc.contributor.author Yang, Shengxiang en
dc.contributor.author Li, Changhe en
dc.date.accessioned 2012-04-02T14:17:43Z
dc.date.available 2012-04-02T14:17:43Z
dc.date.issued 2010
dc.identifier.citation Yang, S. and Li, C. (2010) A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments. IEEE Transactions on Evolutionary Computation, 14, (6), pp. 959-974 en
dc.identifier.issn 1089-778X
dc.identifier.uri http://hdl.handle.net/2086/5863
dc.description.abstract In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but also to track the trajectory of the changing optima over dynamic environments. To address this requirement, this paper investigates a clustering particle swarm optimizer (PSO) for dynamic optimization problems. This algorithm employs a hierarchical clustering method to locate and track multiple peaks. A fast local search method is also introduced to search optimal solutions in a promising subregion found by the clustering method. Experimental study is conducted based on the moving peaks benchmark to test the performance of the clustering PSO in comparison with several state-of-the-art algorithms from the literature. The experimental results show the efficiency of the clustering PSO for locating and tracking multiple optima in dynamic environments in comparison with other particle swarm optimization models based on the multiswarm method. en
dc.language.iso en en
dc.publisher IEEE en
dc.subject clustering en
dc.subject dynamic optimization problem (DOP) en
dc.subject local search en
dc.subject multiswarm en
dc.subject particle swarm optimization en
dc.title A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1109/TEVC.2010.2046667
dc.researchgroup Centre for Computational Intelligence en
dc.ref2014.selected 1367395509_9911340001952_11_2


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