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Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements

Zambrano-Bigiarini, Mauricio, Clerc, Maurice, Rojas, Rodrigo·2013·2013 IEEE Congress on Evolutionary Computation

Abstract

In this work we benchmark, for the first time, the latest Standard Particle Swarm Optimisation algorithm (SPSO-2011) against the 28 test functions designed for the Special Session on Real-Parameter Single Objective Optimisation at CEC-2013. SPSO-2011 is a major improvement over previous PSO versions, with an adaptive random topology and rotational invariance constituting the main advancements. Results showed an outstanding performance of SPSO-2011 for the family of unimodal and separable test functions, with a fast convergence to the global optimum, while good performance was observed for four rotated multimodal functions. Conversely, SPSO-2011 showed the weakest performance for all composition problems (i.e. highly complex functions specially designed for this competition) and certain multimodal test functions. In general, a fast convergence towards the region of the global optimum was achieved, requiring less than 10E+03 function evaluations. However, for most composition and multimodal functions SPSO2011 showed a limited capability to “escape” from sub-optimal regions. Despite this limitation, a desirable feature of SPSO-2011 was its scalable behaviour, which observed up to 50-dimensional problems, i.e. keeping a similar performance across dimensions with no need for increasing the population size. Therefore, it seems advisable that future PSO improvements be focused on enhancing the algorithm's ability to solve non-separable and asymmetrical functions, with a large number of local minima and a second global minimum located far from the true optimum. This work is the first effort towards providing a baseline for a fair comparison of future PSO improvements.

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Authors
Zambrano-Bigiarini, M., Clerc, M., & Rojas, R.
Venue
2013 IEEE Congress on Evolutionary Computation
Publisher
IEEE
Published
2013-06
Pages
2337-2344
OpenAlex
W2057035153
Cited by
317
References
22
FWCI
16.26
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements. https://app.cochat.ai/papers/10.1109/cec.2013.6557848
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Zambrano-Bigiarini, M., Clerc, M., & Rojas, R. (2013). Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements. 2013 IEEE Congress on Evolutionary Computation. https://doi.org/10.1109/cec.2013.6557848

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