Adaptation of Population Structure in Socio-cognitive Particle Swarm Optimization
(2016) Procedia Computer Science — Vol. 101, p. 177-186 (2016)
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- Abstract
- In the paper a modification of a Socio-cognitive Particle Swarm Optimization algorithm, recently proposed by the authors, is presented. This modification consists in devising a mechanism for dynamic adaptation of the population structure of the swarm. Besides the design and rationale for the approach, referring to the state-of-the-art PSO original algorithm and several of its modifications, experimental results tackling popular benchmark functions are presented and discussed in detail.
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Citations
Bugajski, I., Byrski, A., Kisiel-Dorohinicki, M., Lenaerts, T., Samson, D., & Indurkhya, B. (2016). Adaptation of Population Structure in Socio-cognitive Particle Swarm Optimization. Procedia Computer Science, 101, 177-186. https://doi.org/10.1016/j.procs.2016.11.022 (Original work published 2016)