Design, Fabrication and Economy of Metal Structures 2013
DOI: 10.1007/978-3-642-36691-8_16
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Parametric Optimization of Steel Truss with Hollow Structural Members Based on Update Gradient Method

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Cited by 6 publications
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“…The parametric optimization problem stated by Eqs. (2.1) -(2.3) can be successfully solved using gradient projection nonlinear methods [17,26] in cases when the purpose function and constraints of the mathematical model are continuously differentiable functions, as well as the search space is smooth [10,19]. The method of objective function gradient projection onto the active constraints surface with simultaneous correction of the constraints violations [8] ensures an effective search for the optimum solution [15].…”
Section: Problemsmentioning
confidence: 99%
“…The parametric optimization problem stated by Eqs. (2.1) -(2.3) can be successfully solved using gradient projection nonlinear methods [17,26] in cases when the purpose function and constraints of the mathematical model are continuously differentiable functions, as well as the search space is smooth [10,19]. The method of objective function gradient projection onto the active constraints surface with simultaneous correction of the constraints violations [8] ensures an effective search for the optimum solution [15].…”
Section: Problemsmentioning
confidence: 99%
“…The most commonly used methods in the field are heuristic methods, however non-heuristic optimization methods have been used to solve structural optimization problems as well [16,17], though due to the complexity of sizing problems, these methods do not always give global solutions.…”
Section: Introductionmentioning
confidence: 99%
“…where L X  and U X  are the lower and upper bounds for the design variable X  . The parametric optimization problem stated as non-linear programming task by (1.1) -(1.3) can be successfully solved using a gradient projection non-linear methods [21] in cases if the purpose function and constraints of the mathematical model are continuously differentiable functions, as well as the search space is smooth [22,23]. The method of objective function gradient projection onto the active constraints surface with simultaneous correction of the constraints violations ensures effective searching for solution of the nonlinear programming tasks occurred when optimum designing of the building structures [24,25].…”
mentioning
confidence: 99%