Genetical Swarm Optimization: Self-Adaptive Hybrid Evolutionary Algorithm for Electromagnetics

A new effective optimization algorithm suitably developed for electromagnetic applications called genetical swarm optimization (GSO) is presented. This is a hybrid algorithm developed in order to combine in the most effective way the properties of two of the most popular evolutionary optimization ap...

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Veröffentlicht in:	IEEE transactions on antennas and propagation 2007-03, Vol.55 (3), p.781-785
Hauptverfasser:	Grimaccia, F., Mussetta, M., Zich, R.E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Antennas Applied classical electromagnetism Applied sciences Array synthesis Constraint optimization Convergence Dealing Electromagnetic modeling Electromagnetic wave propagation, radiowave propagation Electromagnetism electron and ion optics Evolutionary algorithms Evolutionary computation Exact sciences and technology Fundamental areas of phenomenology (including applications) Genetic algorithms hybridization strategies Linear arrays Optimization Optimization methods optimization techniques Pareto optimization Particle swarm optimization Physics Radiocommunications Search methods Telecommunications Telecommunications and information theory Testing
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