Abstract
A first investigation of the recently proposed Unified Particle Swarm Optimization algorithm on dynamic environments is provided and discussed on widely used test problems. Results are very promising compared to the corresponding results of the standard Particle Swarm Optimization algorithm, indicating the superiority of the new scheme.
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Parsopoulos, K.E., Vrahatis, M.N. (2005). Unified Particle Swarm Optimization in Dynamic Environments. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_62
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DOI: https://doi.org/10.1007/978-3-540-32003-6_62
Publisher Name: Springer, Berlin, Heidelberg
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