Advances in Particle Swarm Optimization for Antenna Designs: Real-Number, Binary, Single-Objective and Multiobjective Implementations

By N. Jin, Yahya Rahmat-Samii. IEEE Transactions on Antennas and Propagation, 2007

814 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Theory and Mathematics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f9f9ec910b87714271679d4dd5310c74c1f0e64b

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Citations in the corpus

Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale (2018, methodology): “To date, most popular algorithms used in the inverse design can be categorized into two groups: the evolutionary method, such as genetic algorithm and particle swarming optimization [29], and the gradient-based method, including topology optimization, steepest descent, and so forth.”
Reconfigurable Antennas: Design and Applications (2015, methodology): “…algorithms, simulated annealing, ant-colony optimization, self-organized maps, particle swarm optimization, the cross entropy method, and self-adaptive induced mutation algorithm are proposed by antenna designers to smooth transitions between various states of a reconfigurable antenna [46]–[54].”
LINEAR AND CIRCULAR ARRAY OPTIMIZATION: A STUDY USING PARTICLE SWARM INTELLIGENCE (2009, result): “It should be mentioned here that our results exactly matches the results in [45].”
Multiobjective Particle Swarm Optimization to Design a Time-Delay Equalizer Metasurface for an Electromagnetic Band-Gap Resonator Antenna (2017, methodology): “It was introduced to the field of electromagnetics in 2004 [2] and has been applied for several electromagnetic applications since then [3]–[7].”
Synthesis of Unequally Spaced Antenna Arrays by Using Differential Evolution (2010, background): “Unlike equally spaced array or periodic array, the lack of periodicity in the unequally spaced array enables lower sidelobe level (SLL) and reduced number of elements with given aperture size [1].”
Particle Swarm Methods (2018, background): “There is a large number of new developments and applications on multiobjective PSO approaches in literature [1, 2, 27, 29, 32, 51, 75, 156, 160, 169].”
Array Pattern Synthesis With Excitation Control via Norm Minimization (2016, methodology): “These efficient methods are based on the density taper strategy introduced by [12] and they outperform in canonical configurations approaches using so-called global optimizers that are versatile but computationally heavy [13], [14].”
Invasive Weed Optimization and its Features in Electromagnetics (2010, background): “This can be done by optimizing the inter-element spacing of periodic arrays or already thinned arrays to have lower sidelobes levels [20], [21], [27]–[30].”
Deterministic Synthesis of Uniform Amplitude Sparse Arrays via New Density Taper Techniques (2010, methodology): “Notably, the proposed approach is able to get in real time (essentially) the same result of [13].”