Differentiated Meta-PSO Methods for Array Optimization

• Published in: IEEE transactions on antennas and propagation Vol. 56; no. 1; pp. 67 - 75
• Main Authors: Selleri, S., Mussetta, M., Pirinoli, P., Zich, R.E., Matekovits, L.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Antennas; Applied classical electromagnetism; Applied sciences; Arrays; Benchmark testing; Benchmarking; Convergence; Cost function; Design optimization; Electromagnetic wave propagation, radiowave propagation; Electromagnetism; electron and ion optics; Evolutionary computation; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Mathematical analysis; Microwave antennas; Optimization; Optimization methods; particle swarm; Particle swarm optimization; Physics; Planar arrays; Radiocommunications; Stochastic processes; Telecommunications; Telecommunications and information theory; Performance evaluation; particle swarm; Electromagnetism; Algorithm performance; Evolutionary computation; Convergence rate; Cost function; Swarm intelligence; Planar antenna arrays; Arrays; Algorithm; Optimization
• ISSN: 0018-926X; 1558-2221
• DOI: 10.1109/TAP.2007.912942

The particle swarm optimization (PSO) method has been successfully applied to different electromagnetic optimization problems. Because of the complexity of this kind of problems, the associated cost function is in general computationally expensive. A fast convergence of the optimization algorithm is hence required to attain results in short time. Here few variations over the standard algorithm, referred to as differentiated meta-PSO, aimed to enhance the global search capability, and to improve the algorithm convergence, are introduced. In order to verify their effectiveness the different techniques have been first applied to benchmark test functions and then used for the optimization of a planar array.