dorsal/arxiv
View SchemaQuantum Particle Swarm Optimization for Electromagnetics
| Authors | Said Mikki, Ahmed A. Kishk |
|---|---|
| Categories | |
| ArXiv ID | physics/0702214 |
| URL | https://arxiv.org/abs/physics/0702214 |
| Journal | IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 54, NO. 10, OCTOBER 2006 |
Abstract
A new particle swarm optimization (PSO) technique for electromagnetic applications is proposed. The method is based on quantum mechanics rather than the Newtonian rules assumed in all previous versions of PSO, which we refer to as classical PSO. A general procedure is suggested to derive many different versions of the quantum PSO algorithm (QPSO). The QPSO is applied first to linear array antenna synthesis, which is one of the standard problems used by antenna engineers. The performance of the QPSO is compared against an improved version of the classical PSO. The new algorithm outperforms the classical one most of the time in convergence speed and achieves better levels for the cost function. As another application, the algorithm is used to find a set of infinitesimal dipoles that produces the same near and far fields of a circular dielectric resonator antenna (DRA). In addition, the QPSO method is employed to find an equivalent circuit model for the DRA that can be used to predict some interesting parameters like the Q-factor. The QPSO contains only one control parameter that can be tuned easily by trial and error or by suggested simple linear variation. Based on our understanding of the physical background of the method, various explanations of the theoretical aspects of the algorithm are presented.
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"abstract": "A new particle swarm optimization (PSO) technique for electromagnetic\napplications is proposed. The method is based on quantum mechanics rather than\nthe Newtonian rules assumed in all previous versions of PSO, which we refer to\nas classical PSO. A general procedure is suggested to derive many different\nversions of the quantum PSO algorithm (QPSO). The QPSO is applied first to\nlinear array antenna synthesis, which is one of the standard problems used by\nantenna engineers. The performance of the QPSO is compared against an improved\nversion of the classical PSO. The new algorithm outperforms the classical one\nmost of the time in convergence speed and achieves better levels for the cost\nfunction. As another application, the algorithm is used to find a set of\ninfinitesimal dipoles that produces the same near and far fields of a circular\ndielectric resonator antenna (DRA). In addition, the QPSO method is employed to\nfind an equivalent circuit model for the DRA that can be used to predict some\ninteresting parameters like the Q-factor. The QPSO contains only one control\nparameter that can be tuned easily by trial and error or by suggested simple\nlinear variation. Based on our understanding of the physical background of the\nmethod, various explanations of the theoretical aspects of the algorithm are\npresented.",
"arxiv_id": "physics/0702214",
"authors": [
"Said Mikki",
"Ahmed A. Kishk"
],
"categories": [
"physics.comp-ph"
],
"journal_ref": "IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 54, NO. 10,\n OCTOBER 2006",
"title": "Quantum Particle Swarm Optimization for Electromagnetics",
"url": "https://arxiv.org/abs/physics/0702214"
},
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