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

The particle swarm optimization (PSO) is a recently developed evolutionary algorithm (EA) based on the swarm behavior in the nature. This paper presents recent advances in applying a versatile PSO engine to real-number, binary, single-objective and multiobjective optimizations for antenna designs, w...

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Vydáno v:	IEEE transactions on antennas and propagation Ročník 55; číslo 3; s. 556 - 567
Hlavní autoři:	Nanbo Jin, Rahmat-Samii, Y.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.03.2007 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Algorithms Antenna arrays Antenna measurements Antennas Aperiodic antenna array Applied classical electromagnetism Applied sciences binary optimization Design optimization Electromagnetic wave propagation, radiowave propagation Electromagnetism; electron and ion optics Engines Evolutionary computation Exact sciences and technology Flowcharts Fundamental areas of phenomenology (including applications) multiobjective Optimization methods Particle swarm optimization particle swarm optimization (PSO) Physics Radiocommunications real-number optimization Reflector antennas single-objective Studies Telecommunications Telecommunications and information theory Performance evaluation Lateral lobe single-objective Electromagnetism Evolutionary algorithm Evolutionary computation Multiobjective programming optimization methods Binary number Implementation Aperiodic array antenna Aperiodic antenna array Biomimetics real-number optimization binary optimization multiobjective Swarm intelligence particle swarm optimization (PSO) Antenna array
ISSN:	0018-926X, 1558-2221
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