9 citations · 28 across the 6 of their papers we have counts for
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cs.NE2019★ 7 cited
Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization
Bernd Bassimir, Manuel Schmitt, Rolf Wanka
We study the variant of Particle Swarm Optimization (PSO) that applies random velocities in a dimension instead of the regular velocity update equations as soon as the so-called po…
cs.DM2019★ 9 cited
Exact Markov Chain-based Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax
Moritz Mühlenthaler, Alexander Raß, Manuel Schmitt +1
Meta-heuristics are powerful tools for solving optimization problems whose structural properties are unknown or cannot be exploited algorithmically. We propose such a meta-heuristi…