Matches in SemOpenAlex for { <https://semopenalex.org/work/W2006266904> ?p ?o ?g. }
- W2006266904 endingPage "800" @default.
- W2006266904 startingPage "799" @default.
- W2006266904 abstract "Microwave imaging of parallel perfectly conducting cylinders using scattering data with or without the effect of random noise is considered in this paper. A novel algorithm, the real-coded genetic algorithm coupled with Newton-Kantorivitch method (RGA-NKM) is proposed to deal with it with significantly improved performance. The main idea of the RGA-NKM is to perform a Newton-Kantorivitch type search for the local optimum after the genetic operations in each genetic evolution. Numerical results and comparisons with both real-coded genetic algorithm (RGA) and Newton-Kantorivitch method (NKM) demonstrate that although the simplicity of RGA is lost, the search ability is greatly improved and the convergence is sped up significantly while those merits of RGA such as high level of robustness, versatility and insensitiveness to ill-posedness are retained." @default.
- W2006266904 created "2016-06-24" @default.
- W2006266904 creator A5032882089 @default.
- W2006266904 creator A5075148481 @default.
- W2006266904 date "2000-01-01" @default.
- W2006266904 modified "2023-09-27" @default.
- W2006266904 title "Microwave Imaging of Parallel Perfectly Conducting Cylinders Using Real-Coded Genetic Algorithm Coupled With Newton-Kantorivitch Method - Abstract" @default.
- W2006266904 cites W1497256448 @default.
- W2006266904 cites W1500331475 @default.
- W2006266904 cites W1500733286 @default.
- W2006266904 cites W1515302430 @default.
- W2006266904 cites W1520664314 @default.
- W2006266904 cites W1523113578 @default.
- W2006266904 cites W1624871127 @default.
- W2006266904 cites W1925070353 @default.
- W2006266904 cites W1928905999 @default.
- W2006266904 cites W1970030567 @default.
- W2006266904 cites W1975490616 @default.
- W2006266904 cites W1981922995 @default.
- W2006266904 cites W1986924342 @default.
- W2006266904 cites W1993968452 @default.
- W2006266904 cites W2002109833 @default.
- W2006266904 cites W2005845976 @default.
- W2006266904 cites W2006139869 @default.
- W2006266904 cites W2008925312 @default.
- W2006266904 cites W2032228750 @default.
- W2006266904 cites W2034257104 @default.
- W2006266904 cites W2043305306 @default.
- W2006266904 cites W2053761774 @default.
- W2006266904 cites W2059090071 @default.
- W2006266904 cites W2061158620 @default.
- W2006266904 cites W2062516126 @default.
- W2006266904 cites W2063161702 @default.
- W2006266904 cites W2064774848 @default.
- W2006266904 cites W2066405413 @default.
- W2006266904 cites W2066743370 @default.
- W2006266904 cites W2069209006 @default.
- W2006266904 cites W2069624343 @default.
- W2006266904 cites W2083493967 @default.
- W2006266904 cites W2084658728 @default.
- W2006266904 cites W2086630452 @default.
- W2006266904 cites W2089601784 @default.
- W2006266904 cites W2093377409 @default.
- W2006266904 cites W2098442601 @default.
- W2006266904 cites W2098958080 @default.
- W2006266904 cites W2104860253 @default.
- W2006266904 cites W2112918058 @default.
- W2006266904 cites W2121384844 @default.
- W2006266904 cites W2123452176 @default.
- W2006266904 cites W2125619737 @default.
- W2006266904 cites W2128406531 @default.
- W2006266904 cites W2130288163 @default.
- W2006266904 cites W2141035419 @default.
- W2006266904 cites W2143368686 @default.
- W2006266904 cites W2146922163 @default.
- W2006266904 cites W2148719472 @default.
- W2006266904 cites W2149368520 @default.
- W2006266904 cites W2152150600 @default.
- W2006266904 cites W2171295695 @default.
- W2006266904 cites W3023540311 @default.
- W2006266904 doi "https://doi.org/10.1163/156939300x01535" @default.
- W2006266904 hasPublicationYear "2000" @default.
- W2006266904 type Work @default.
- W2006266904 sameAs 2006266904 @default.
- W2006266904 citedByCount "6" @default.
- W2006266904 countsByYear W20062669042016 @default.
- W2006266904 crossrefType "journal-article" @default.
- W2006266904 hasAuthorship W2006266904A5032882089 @default.
- W2006266904 hasAuthorship W2006266904A5075148481 @default.
- W2006266904 hasConcept C104317684 @default.
- W2006266904 hasConcept C11413529 @default.
- W2006266904 hasConcept C115961682 @default.
- W2006266904 hasConcept C121332964 @default.
- W2006266904 hasConcept C126255220 @default.
- W2006266904 hasConcept C154945302 @default.
- W2006266904 hasConcept C158622935 @default.
- W2006266904 hasConcept C162324750 @default.
- W2006266904 hasConcept C2776372474 @default.
- W2006266904 hasConcept C2777303404 @default.
- W2006266904 hasConcept C2779885931 @default.
- W2006266904 hasConcept C33923547 @default.
- W2006266904 hasConcept C41008148 @default.
- W2006266904 hasConcept C44838205 @default.
- W2006266904 hasConcept C50522688 @default.
- W2006266904 hasConcept C55493867 @default.
- W2006266904 hasConcept C58758708 @default.
- W2006266904 hasConcept C62520636 @default.
- W2006266904 hasConcept C63479239 @default.
- W2006266904 hasConcept C76155785 @default.
- W2006266904 hasConcept C85189116 @default.
- W2006266904 hasConcept C86803240 @default.
- W2006266904 hasConcept C8880873 @default.
- W2006266904 hasConcept C99498987 @default.
- W2006266904 hasConceptScore W2006266904C104317684 @default.
- W2006266904 hasConceptScore W2006266904C11413529 @default.
- W2006266904 hasConceptScore W2006266904C115961682 @default.
- W2006266904 hasConceptScore W2006266904C121332964 @default.
- W2006266904 hasConceptScore W2006266904C126255220 @default.