A Bayesian Estimation of Distribution Algorithm Approach to the Definition of Linear Antenna Arrays Excitations
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| Format: | Artículo científico |
| Sprache: | en |
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Instituto Politécnico Nacional
2011
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| _version_ | 1876455026533072896 |
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| author | Julio Isla |
| author_facet | Julio Isla |
| contents | A Bayesian Estimation of Distribution Algorithm Approach to the Definition of Linear Antenna Arrays Excitations Julio Isla Alberto Ochoa Computación Dolph antenna arrays 6: Optimization 10: Applications Taylor distribution This paper introduces and investigates the family of aperture distributions whose members have the best Side Lobe Ratio (SLR) for a given Inverse Dynamic Range Ratio (IDRR). An optimization approach based on Estimation of Distributions Algorithms is used to find the family instances. The paper shows that the family has limiting distributions with a number of interesting properties, e.g. it has a good tradeoff between beamwidth and SLR and has the best IDRR for a given beamwidth. The numerical results allow us to conclude the following: 1) the IDRR impacts the complexity of the problem, i.e. the larger the IDRR the easier the optimization. 2) linear entropic mutation improves the performance of the algorithms and reduces the population size requirements. 3) the independence model seems to be adequate for very large IDRR but fails dramatically for the other cases. 2011 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61520862006 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.15 |
| format | Artículo científico |
| id | redalyc_61520862006 |
| institution | Redalyc |
| language | en |
| publishDate | 2011 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | A Bayesian Estimation of Distribution Algorithm Approach to the Definition of Linear Antenna Arrays Excitations Julio Isla Computación Dolph antenna arrays 6: Optimization 10: Applications Taylor distribution A Bayesian Estimation of Distribution Algorithm Approach to the Definition of Linear Antenna Arrays Excitations Julio Isla Alberto Ochoa Computación Dolph antenna arrays 6: Optimization 10: Applications Taylor distribution This paper introduces and investigates the family of aperture distributions whose members have the best Side Lobe Ratio (SLR) for a given Inverse Dynamic Range Ratio (IDRR). An optimization approach based on Estimation of Distributions Algorithms is used to find the family instances. The paper shows that the family has limiting distributions with a number of interesting properties, e.g. it has a good tradeoff between beamwidth and SLR and has the best IDRR for a given beamwidth. The numerical results allow us to conclude the following: 1) the IDRR impacts the complexity of the problem, i.e. the larger the IDRR the easier the optimization. 2) linear entropic mutation improves the performance of the algorithms and reduces the population size requirements. 3) the independence model seems to be adequate for very large IDRR but fails dramatically for the other cases. 2011 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61520862006 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.1 Vol.15 |
| title | A Bayesian Estimation of Distribution Algorithm Approach to the Definition of Linear Antenna Arrays Excitations |
| topic | Computación Dolph antenna arrays 6: Optimization 10: Applications Taylor distribution |
| url | https://www.redalyc.org/articulo.oa?id=61520862006 |