A modified particle swarm optimizer with dynamic adaptation

By Xueming Yang, Jinsha Yuan, Jiangye Yuan, Huina Mao. Applied Mathematics and Computation, 2007

368 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aed909b6f5e3e273b17382b87f0484ae4a3f3faf

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1. Lei Liu
2. Dongshu Wang
3. Dapei Tan

Citations in the corpus

• Particle Swarm Optimization: Technique, System and Challenges (2011, unknown): “Dinamic Environment of PSO [51] [52] [53] [54], [55] [51] [56], [51] [57] [58], [59] [60]”
• Particle swarm optimization algorithm: an overview (2017, background): “…weight adaptively changes along with some evaluation indexes, such as the successful history of search (Fourie and Groenwold 2002), evolution state (Yang et al. 2007), particle average velocity (Yasuda and Iwasaki 2004), population diversity (Jie et al. 2006), smoothness change in the objective…”