We optimize a supply chain with three echelons that is modeled as a time-invariant discrete-time system with uncertain parameters. A straight forward application of nonlinear programming methods results in a point of ...
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This study applies a five-linked robotic manipulator to track prespecified trajectories in the workspace. It is authors' intent to see how adequate the method of direct collocation and nonlinear programming (DCNLP...
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The modeling and optimization of the fluid catalytic cracker (FCC) within the larger refinery process has been debated for decades. At issue is the accuracy and complexity trade-off between different modeling methodol...
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This article explores the application of the Legendre pseudospectral method to aerospace vehicle orbital transfer with a problem of finite thrust optimization. Firstly, the model of the orbital transfer optimization c...
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Combining nonlinear programming and least squares method, this paper proposes a two-stage mixed fuzzy linear regression model based on distance criterion. In order to ensure that the error of fuzzy estimated value and...
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In this paper we are primarily concerned with a method use of a nonlinear optimization algorithm called very fast simulated annealing (VFSA). The subsurface geology was parameterized using cubic B-splines defined over...
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Vertical bladeless wind turbine looks like a huge baseball bat fixed on a handle and swaying in the wind. The vortices are created in this flow at the back of the body and periodically are separated from either side o...
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The advantage of the well-known kinematic form-finding method of tensegrity structures is its simplicity and possibility to include length constraints on structural members. The stability of the structures obtained us...
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Engineering optimization problems often encounter mixed discrete design variables. Very few of the existing methods can obtain a globally optimal solution if the objective functions are non-convex and non-differentiab...
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ISBN:
(纸本)9781624101007
Engineering optimization problems often encounter mixed discrete design variables. Very few of the existing methods can obtain a globally optimal solution if the objective functions are non-convex and non-differentiable. In this research, a mixed discrete synthetic approach (MDSA), taking the advantages of random search methods and deterministic search methods, is proposed. Specifically, the modified complex algorithm is combined with the hybrid negative sub-gradient search, coupled with an implicit enumeration checking-point technique, for the solution of mixed-discrete optimization problems. The MDSA is used for the optimal designs of a pressure vessel and a welded beam. The numerical results demonstrate the high reliability and effectiveness of the MDSA as an advanced global method in solving mixed-discrete engineering optimization problems.
As a typical underdrive system, an overhead crane has been widely used in modern industrial production and transportation. However, when the load volume in the crane system is too large or the hook quality is too larg...
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