Unequally spaced arrays synthesis using Self-adaptive Differential Evolution

S. K. Goudos, A. A. Nanos, T. Samaras, K. Siakavara, E. Vafiadis, J. N. Sahalos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we present uniformly excited unequally spaced linear-array synthesis with sidelobe suppression. We apply different evolutionary algorithms like Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) variants to position-only and position-phase synthesis. The DE algorithms include the common DE/rand/1/bin and the Self-adaptive strategies. The results on different problems show that the DE algorithms outperform the other algorithms in terms of finding best optima. The Self-adaptive DE produces similar or better results than the classical DE algorithm. The obtained results indicate the advantages of this approach.

Original languageEnglish
Title of host publicationProceedings of the 5th European Conference on Antennas and Propagation, EUCAP 2011
Pages983-986
Number of pages4
Publication statusPublished - 2011
Event5th European Conference on Antennas and Propagation, EUCAP 2011 - Rome, Italy
Duration: 10 Apr 201115 Apr 2011

Other

Other5th European Conference on Antennas and Propagation, EUCAP 2011
Country/TerritoryItaly
CityRome
Period10/04/1115/04/11

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