Zobrazeno 1 - 10
of 336
pro vyhledávání: '"Constraint functions"'
Autor:
Mahmoud Baei, Vesna Terzic
Publikováno v:
Frontiers in Built Environment, Vol 8 (2022)
New technological developments in engineering present an opportunity for improved efficiency in structural design through optimization. High-performance computing resources reduce the time needed for computational calculations. Concurrently, optimiza
Externí odkaz:
https://doaj.org/article/a8d893229cb94aa7a941be21e7375777
Autor:
AlBahar, Areej Ahmad
Manufacturing systems are usually nonlinear, nonstationary, highly corrupted with outliers, and oftentimes constrained by physical laws. Modeling and approximation of their underly- ing response surface functions are extremely challenging. Bayesian o
Externí odkaz:
http://hdl.handle.net/10919/109668
Akademický článek
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Publikováno v:
RAIRO - Operations Research. 55:3041-3048
In combining the value function approach and tangential subdifferentials, we establish necessary optimality conditions of a nonsmooth multiobjective bilevel programming problem under a suitable constraint qualification. The upper level objectives and
Publikováno v:
TOP. 30:270-295
We focus on optimality conditions for an important class of nonconvex and nonsmooth optimization problems, where the objective and constraint functions are presented as a difference of two tangentially convex functions. The main contribution of this
Autor:
H. Mohebi, N. Ghafari
Publikováno v:
Arabian Journal of Mathematics. 10:395-408
In this paper, we study the optimization problem (P) of minimizing a convex function over a constraint set with nonconvex constraint functions. We do this by given new characterizations of Robinson’s constraint qualification, which reduces to the c
Publikováno v:
Engineering with Computers. 38:2037-2049
The rapidly changing requirements of engineering optimization problems require unprecedented levels of compatibility to integrate diverse uncertainty information to search optimum among design region. The sophisticated optimization methods tackling u
Autor:
S. Salkhordeh, Hossein Mohebi
Publikováno v:
Journal of Global Optimization. 79:885-904
In this paper, we consider the set D of inequalities with nonconvex constraint functions in the face of data uncertainty. We show under a suitable condition that “perturbation property” of the robust best approximation to any $$x\in {\mathbb {R}}
Publikováno v:
Computational Optimization and Applications. 77:411-432
We develop a unified level-bundle method, called accelerated constrained level-bundle (ACLB) algorithm, for solving constrained convex optimization problems. where the objective and constraint functions can be nonsmooth, weakly smooth, and/or smooth.
Publikováno v:
Materials Testing. 62:744-748
In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constr