Benchmark Antenna Problems for Evolutionary Optimization Algorithms

A set of antenna-optimization problems is presented that satisfies the necessary requirements to form a test suite useful for measuring and comparing the performance of different evolutionary optimization algorithms (EAs) when they are applied to solve complex electromagnetic problems. The ability o...

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Veröffentlicht in:	IEEE transactions on antennas and propagation 2007-04, Vol.55 (4), p.1111-1121
Hauptverfasser:	Pantoja, M.F., Bretones, A.R., Martin, R.G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Antennas Applied classical electromagnetism Applied sciences Benchmarking Computational electromagnetics Computational modeling Convergence Design optimization Electromagnetic analysis Electromagnetic wave propagation, radiowave propagation Electromagnetism electron and ion optics Evolutionary Evolutionary algorithms Evolutionary computation Exact sciences and technology Fundamental areas of phenomenology (including applications) Genetic algorithms genetic algorithms (GAs) Optimization optimization methods particle swarm Performance analysis Physics Radiocommunications Telecommunications Telecommunications and information theory Testing
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Beschreibung
Zusammenfassung:	A set of antenna-optimization problems is presented that satisfies the necessary requirements to form a test suite useful for measuring and comparing the performance of different evolutionary optimization algorithms (EAs) when they are applied to solve complex electromagnetic problems. The ability of the proposed test suite to find strong and weak points of any EA is illustrated by a complete study of four broadly used evolutionary algorithms carried out with the aid of the new test functions
ISSN:	0018-926X 1558-2221
DOI:	10.1109/TAP.2007.893396