A hybrid boundary condition for robust particle swarm optimization
By Tony Huang, A. S. Mohan. IEEE Antennas and Wireless Propagation Letters, 2005
162 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/a1beae89fc7e3c2b635f95bb9e8be9417cda9b1f
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Citations in the corpus
- Stochastic Optimization Methods Applied to Microwave Imaging: A Review (2007, background): “In [55], three-dimensional dielectric objects have been inspected with a rather rough discretization.”
- Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations (2007, background): “[18] by applying some beneficial features of both absorbing and reflecting walls.”
- Particle swarm optimization algorithm: an overview (2017, background): “In order to solve this problem, Huang and Mohan(2005)integratedthecharacteristicsofabsorbingwall and reflecting wall and proposed a hybrid damping boundary, to obtain robust and consistent performance.”
- Boundary Conditions in Particle Swarm Optimization Revisited (2007, background): “invisible, and damping, have been reported in literature [2], [4], and the unique features that distinguish each boundary condition are summarized in Fig.”
- Evolutionary optimization as applied to inverse scattering problems (2009, background): “In the PSO, an agent, b(p)k , called particle is characterized by a position f (p) k in the solution space and a velocity v(p)k that models the capability of the pth particle to fly from the current position to another successive position f (p) k+1 .”