An enhancement of constraint feasibility in BPN based approximate optimization

DOI10.1016/J.CMA.2006.11.005zbMath1173.74369OpenAlexW1982053780MaRDI QIDQ1033474

Dong-Hoon Choi, Heeseok Jeong, Vitali V. Volovoi, Dimitri N. Mavris, Jong Soo Lee

Publication date: 6 November 2009

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2006.11.005

zbMATH Keywords

genetic algorithminequality constraintsback-propagation neural networksconstrained approximate optimization

Mathematics Subject Classification ID

Optimization of other properties in solid mechanics (74P10) Flow control and optimization for compressible fluids and gas dynamics (76N25)

Related Items (1)

A realization of constraint feasibility in a moving least squares response surface based approximate optimization

Cites Work

• Genetic algorithms in truss topological optimization
• Explicit constraint approximation forms in structural optimization. I: Analyses and projections
• Asymptotic construction of Reissner-like composite plate theory with accurate strain recovery.
• Optimization of laminate stacking sequence for buckling load maximization by genetic algorithm
• Genetic algorithm perspective to identify energy optimizing inclusions in an elastic plate.

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