Pregled bibliografske jedinice broj: 111236
Two-point Mid-range Approximation Enhanced Recursive Quadratic Programming Method
Two-point Mid-range Approximation Enhanced Recursive Quadratic Programming Method // Short Papers of the Fifth World Congress of Structural and Multidisciplinary Optimization / Cinquini, Carlo ; Rovati, Marco ; Venini, Paolo ; Nascimbene, Roberto (ur.).
Milano: Italian Polytechnic Press, 2003. str. 189-190 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 111236 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Two-point Mid-range Approximation Enhanced Recursive Quadratic Programming Method
Autori
Magazinović, Gojko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Short Papers of the Fifth World Congress of Structural and Multidisciplinary Optimization
/ Cinquini, Carlo ; Rovati, Marco ; Venini, Paolo ; Nascimbene, Roberto - Milano : Italian Polytechnic Press, 2003, 189-190
Skup
Fifth World Congress of Structural and Multidisciplinary Optimization
Mjesto i datum
Lido di Jesolo, Italija, 19.05.2003. - 23.05.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
design optimization; function approximation; recursive quadratic programming
Sažetak
This research presents an attempt to combine good convergence properties of recursive quadratic programming methods with the benefits of mid-range approximations, initially developed in the field of structural optimization. In this paper, an optimization method based on Arora and coworkers PLBA (Pshenichny-Lim-Belegundu-Arora) algorithm is proposed in which, during the line search phase, cost and constraint functions are substituted by their two-point approximations using the Generalized Convex Approximation formulae of Chickermane and Gea. The results showed that the proposed optimization method preserves the reliability and accuracy of the recursive quadratic programming method while it might simultaneously reduce the computational effort on some problems. Therefore, the proposed optimization method may be taken as potentially suitable for general design optimization purposes.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Projekti:
0023023
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Gojko Magazinović
(autor)