Particle swarm optimization versus genetic algorithms for phased array synthesis

By D. Boeringer, Douglas H. Werner. IEEE Transactions on Antennas and Propagation, 2004

966 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/4cf296b9d4ef79b838dc565e6e84ab9b089613de

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Citations in the corpus

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].”
Constrained Least-Squares Optimization in Conformal Array Antenna Synthesis (2007, methodology): “To complete this kind of optimization global optimization methods are usually used, such as genetic algorithm [1]–[3], simulated annealing [4] or particle swarm optimization [2], [5].”
Fast Low-Sidelobe Synthesis for Large Planar Array Antennas Utilizing Successive Fast Fourier Transforms of the Array Factor (2007, neutral): “The size of the largest linear array did not exceed 100 elements [1], [2].”
Linear array geometry synthesis with minimum sidelobe level and null control using particle swarm optimization (2005, methodology): “Evolutionary algorithms such as genetic algorithms (GA) [2]–[8], simulated annealing (SA) [9], and particle swarm optimization (PSO) algorithms [10], [11] have also been successfully used in the design of antenna arrays.”
Evolutionary optimization as applied to inverse scattering problems (2009, background): “0 as recommended by some papers in the PSO literature [85, 87, 146] and found through experimentation in several optimization fields [15].”
Analysis of the publications on the applications of particle swarm optimisation (2008, background): “Applications include (see [6]) the optimal control [7] and design [8, 9] of phased arrays, broadband antenna design [10, 11] and modelling, design of Yagi-Uda arrays [12], array failure correction, optimisation of profiled corrugated horn antennas, optimisation of a reflectarray antenna, far-field r”
Synthesis of Circular Antenna Array Using Crossed Particle Swarm Optimization Algorithm (2006, background): “has been shown to be very effective in solving complex global multidimensional optimization problems in variety fields[4, 5].”
Boundary Conditions in Particle Swarm Optimization Revisited (2007, background): “Array antenna synthesis is a classic electromagnetic problem, and is extensively discussed in literature [6], [7].”
Pattern Synthesis of Narrowband Conformal Arrays Using Iterative Second-Order Cone Programming (2010, methodology): “The stochastic optimization methods, including genetic algorithm [9], particle swarm optimization [10] and simulated annealing [11], are very general and flexible frameworks, but their computational complexities are rather high because the searching methods involved are random in nature.”
Computational approach based on a particle swarm optimizer for microwave imaging of two-dimensional dielectric scatterers (2005, background): “Reference problem geometry. applied and computational electromagnetics where GAs found great success (let us see [16]–[18] for some applications in the field of antenna synthesis and [19] for a general overview).”
Application of the invasive weed optimization technique for antenna configurations (2008, methodology): “Genetic algorithm [1], Particle swarm optimization [2, 3] and ant colony [4, 5] are such methods that have already been used in antenna optimization problems.”