Novel inertia weight strategies for particle swarm optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12293-013-0111-9.pdf
Reference57 articles.
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2. Arumugam MS, Rao, MCV (2006) On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems. Int J Discrete Dyn Nat Soc pp 1–17
3. Bansal JC, Singh PK, Saraswat M, Verma A, Jadon SS, Abraham A (2011) Inertia weight strategies in particle swarm optimization. In: Proceedings of third world congress on nature and biologically inspired computing (NaBIC-2011), pp 633–640
4. Chatterjee A, Siarry P (2006) Nonlinear Inertia weight variation for dynamic adaption in Particle swarm optimization. In: Computers and operation research, vol 33, Elsevier, Amsterdam, pp 859–871
5. Chen G, Huang X, Jia J, Min Z (2006) Natural exponential Inertia weight strategy in particle swarm optimization. In: Proceedings of 6th world congress on intelligent control, pp 3672–3675
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