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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Druckformat: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v70.i13.30
pages 1143-1158

RECIPE FOR AN EFFICIENT HYBRID GENETIC ALGORITHM

Artem V. Boriskin
IRE NAS Ukraine, A. Usikov Institute of Radio Physics and Electronics, National Academy of Sciences of Ukraine; Institut d'Electronique et de Télécommunications de Rennes UMR CNRS 6164, Université de Rennes 1, Rennes, France
R. Sauleau
Institut d'Electronique et de Télécommunications de Rennes (IETR) - UMR CNRS 6164 Campus de Beaulieu, Université de Rennes 1, Avenue du Général Leclerc, 35042 Rennes Cedex, France

ABSTRAKT

The elegance demonstrated by Nature when solving real-world problems fascinates and inspires imitation. A number of algorithms that mimic Nature's selection mechanisms have been introduced recently and quickly proved to be powerful instruments for electromagnetic synthesis. There are many papers discussing pros and cons of evolutionary optimization algorithms (EOA) and most of them do this via contrasting one against others whereas their similarity and complementarity often remain in shadow. This paper gives a bird's-eye view on the evolutionary optimization strategy considered as a probability cheating approach. The main questions addressed in this paper are the general logic behind the choice of EOA parameters and the ways of boosting algorithms efficiency. Discussion is supported by introduction of a hybrid genetic algorithm capable of fast optimization of multi-parameter and multi-extrema functions typical for electromagnetics.


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