Use of intelligent-particle swarm optimization in electromagnetics. IEEE Trans Mag
By G. Ciuprina, D. Ioan, I. Munteanu. 2002
304 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/56fc81f810f952e17d5c45eae2524cecb1eed18d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- M. Khodier
- Mohammad Al-Aqeel
- Douglas H. Werner
- Zhi-hui Zhan
- Jun Zhang
- Mahmoud Shahabadi
- N. Kwok
- Alireza Marandi
In Artificial Intelligence
- Zhi-hui Zhan
- Jun Zhang
- Joong-Rin Shin
- Harry C. Watson
- D. Boeringer
- Zhao Yang Dong
- Kit Po Wong
- Ke Meng
Citations in the corpus
- Particle swarm optimization versus genetic algorithms for phased array synthesis (2004, background): “This new optimization technique has much promise, and electromagnetics researchers are just beginning to explore its capabilities [7]–[9].”
- Quantum-Inspired Particle Swarm Optimization for Valve-Point Economic Load Dispatch (2010, background): “Also four kinds of typical revised PSO are DPSO [31], HPSO [32], IPSO [33], and SPSO [34].”
- A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization (2006, methodology): “Other applications of the PSO can be found in the design of PID controllers [20] and electro-magnetics [21].”
- LINEAR AND CIRCULAR ARRAY OPTIMIZATION: A STUDY USING PARTICLE SWARM INTELLIGENCE (2009, methodology): “The literature on the use of the PSO method in the design of antenna arrays is extensive, a sample of which can be found in [42–57].”
- Adaptive Particle Swarm Optimization (2008, methodology): “A number of variant PSO algorithms have, hence, been proposed to achieve these two goals [8], [9], [11], [12].”
- A particle swarm optimization for economic dispatch with nonsmooth cost functions (2005, background): “formation among them, a fact that leads to increased efficiency of the group [13].”
- Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients (2004, background): “Most early developments in PSO have been proven to be effective in optimizing static problems [31], [32], [36], [37].”
- Political Optimizer: A novel socio-inspired meta-heuristic for global optimization (2020, unknown): “Journal Pre-proof functions [68], slow convergence [77], and not guaranteed to converge on local / global optimum [82].”
- Design of a Single-Feed Dual-Band Dual-Polarized Printed Microstrip Antenna Using a Boolean Particle Swarm Optimization (2008, methodology): “Being recently introduced to the EM community [24], the PSO algorithm has been found to be an effective alternative in handling different antenna design problems.”