Matches in SemOpenAlex for { <https://semopenalex.org/work/W2155752967> ?p ?o ?g. }
- W2155752967 endingPage "361" @default.
- W2155752967 startingPage "337" @default.
- W2155752967 abstract "We review the space-mapping (SM) technique and the SM-based surrogate (modeling) concept and their applications in engineering design optimization. For the first time, we present a mathematical motivation and place SM into the context of classical optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive fine model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically based coarse model. Proposed approaches to SM-based optimization include the original algorithm, the Broyden-based aggressive SM algorithm, various trust-region approaches, neural SM, and implicit SM. Parameter extraction is an essential SM subproblem. It is used to align the surrogate (enhanced coarse model) with the fine model. Different approaches to enhance uniqueness are suggested, including the recent gradient parameter-extraction approach. Novel physical illustrations are presented, including the cheese-cutting and wedge-cutting problems. Significant practical applications are reviewed." @default.
- W2155752967 created "2016-06-24" @default.
- W2155752967 creator A5000561282 @default.
- W2155752967 creator A5008802805 @default.
- W2155752967 creator A5036649248 @default.
- W2155752967 creator A5038356449 @default.
- W2155752967 creator A5070384305 @default.
- W2155752967 creator A5076863204 @default.
- W2155752967 creator A5079289901 @default.
- W2155752967 date "2004-01-01" @default.
- W2155752967 modified "2023-10-06" @default.
- W2155752967 title "Space Mapping: The State of the Art" @default.
- W2155752967 cites W147998453 @default.
- W2155752967 cites W1512825322 @default.
- W2155752967 cites W1518867187 @default.
- W2155752967 cites W1560742679 @default.
- W2155752967 cites W1579248596 @default.
- W2155752967 cites W1663065099 @default.
- W2155752967 cites W176644540 @default.
- W2155752967 cites W180566448 @default.
- W2155752967 cites W1953534009 @default.
- W2155752967 cites W1955238377 @default.
- W2155752967 cites W1967442761 @default.
- W2155752967 cites W1977822596 @default.
- W2155752967 cites W1981039871 @default.
- W2155752967 cites W1987556593 @default.
- W2155752967 cites W1998433275 @default.
- W2155752967 cites W2000863540 @default.
- W2155752967 cites W2006532233 @default.
- W2155752967 cites W2057958571 @default.
- W2155752967 cites W2063767894 @default.
- W2155752967 cites W2075184363 @default.
- W2155752967 cites W2081291021 @default.
- W2155752967 cites W2086845525 @default.
- W2155752967 cites W2094318599 @default.
- W2155752967 cites W2097263435 @default.
- W2155752967 cites W2098602811 @default.
- W2155752967 cites W2103097634 @default.
- W2155752967 cites W2106911118 @default.
- W2155752967 cites W2106932249 @default.
- W2155752967 cites W2109162561 @default.
- W2155752967 cites W2111325674 @default.
- W2155752967 cites W2111747333 @default.
- W2155752967 cites W2112106693 @default.
- W2155752967 cites W2112271788 @default.
- W2155752967 cites W2113603617 @default.
- W2155752967 cites W2116607873 @default.
- W2155752967 cites W2117248878 @default.
- W2155752967 cites W2118144224 @default.
- W2155752967 cites W2120488458 @default.
- W2155752967 cites W2132254349 @default.
- W2155752967 cites W2135108634 @default.
- W2155752967 cites W2139802970 @default.
- W2155752967 cites W2141506705 @default.
- W2155752967 cites W2142183195 @default.
- W2155752967 cites W2143234838 @default.
- W2155752967 cites W2146229122 @default.
- W2155752967 cites W2147660808 @default.
- W2155752967 cites W2149430717 @default.
- W2155752967 cites W2152383111 @default.
- W2155752967 cites W2155255903 @default.
- W2155752967 cites W2157003691 @default.
- W2155752967 cites W2159662516 @default.
- W2155752967 cites W2159731689 @default.
- W2155752967 cites W2160082067 @default.
- W2155752967 cites W2160129937 @default.
- W2155752967 cites W2161557492 @default.
- W2155752967 cites W2162340011 @default.
- W2155752967 cites W2165062650 @default.
- W2155752967 cites W2169040422 @default.
- W2155752967 cites W2169487550 @default.
- W2155752967 cites W2171763964 @default.
- W2155752967 cites W2172299538 @default.
- W2155752967 cites W2177344382 @default.
- W2155752967 cites W2529834581 @default.
- W2155752967 cites W3214906587 @default.
- W2155752967 cites W3214974804 @default.
- W2155752967 cites W4246004376 @default.
- W2155752967 cites W4299689903 @default.
- W2155752967 doi "https://doi.org/10.1109/tmtt.2003.820904" @default.
- W2155752967 hasPublicationYear "2004" @default.
- W2155752967 type Work @default.
- W2155752967 sameAs 2155752967 @default.
- W2155752967 citedByCount "935" @default.
- W2155752967 countsByYear W21557529672012 @default.
- W2155752967 countsByYear W21557529672013 @default.
- W2155752967 countsByYear W21557529672014 @default.
- W2155752967 countsByYear W21557529672015 @default.
- W2155752967 countsByYear W21557529672016 @default.
- W2155752967 countsByYear W21557529672017 @default.
- W2155752967 countsByYear W21557529672018 @default.
- W2155752967 countsByYear W21557529672019 @default.
- W2155752967 countsByYear W21557529672020 @default.
- W2155752967 countsByYear W21557529672021 @default.
- W2155752967 countsByYear W21557529672022 @default.
- W2155752967 countsByYear W21557529672023 @default.
- W2155752967 crossrefType "journal-article" @default.
- W2155752967 hasAuthorship W2155752967A5000561282 @default.