Perbandingan Metode Gaussian Particle Swarm Optimization (GPSO) dan Lagrange Multiplier pada Masalah Economic Dispatch [PDF]
On electric power system operation, economic planning problem is one variable to take into account due to operational cost efficiency. Economic Dispatch problem of electric power generation is discussed in this study to manage the output division on ...
Siti Komsiyah
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Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso) [PDF]
In the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the ...
Siti Komsiyah
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Time series image coding classification theory based on Lagrange multiplier method [PDF]
Time series classification is a crucial area of research within data analysis. Recent advancements in convolutional neural networks (CNNs) for image recognition and classification have inspired innovative approaches in this field.
Wentao Jiang, Ming Zhao, Hongbo Li
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Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization
One of the well-known problems in evolutionary search for solving optimization problem is the premature convergence. The general constrained optimization techniques such as hybrid evolutionary programming, two-phase evolutionary programming, and Evolian algorithms are not safe from the same problem in the first phase. To overcome this problem, we apply
Myung, H, Kim, JH Kim, Jong-Hwan
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Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method [PDF]
This paper proposes a decoupling capacitor placement optimization method based on the cavity model and Lagrange multiplier. The variable conditions associating with coordinates (x,y) of input impedance expression based on the cavity model are combined ...
Jun Wang +5 more
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Lagrange Multiplier Method for Convex Programs [PDF]
The problem of minimizing a convex function that is subject to the constraint that a number of other convex functions be nonpositive can be treated by the Lagrange multiplier method. Such a treatment was revived by Kuhn and Tucker and further studied by many other scientists. These studies led to an associated maximizing problem on
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The optimised Schwarz method and the two-Lagrange multiplier method for heterogeneous problems [PDF]
In modern science and engineering there exist many heterogeneous problems, in which the material under consideration has non-uniform properties. For example when considering seepage under a dam, water will flow at vastly different rates through sand ...
Greer, Neil
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Singular limit of Allen-Cahn equation with constraints and its Lagrange multiplier [PDF]
We consider the Allen-Cahn equation with constraint. Our constraint is the subdifferential of the indicator function on the closed interval, which is the multivalued function.
Yamazaki, Noriaki +5 more
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The interval finite element method based on the element-by-element technique is proved to be a rigorous and efficient method for considering interval uncertainties.
Jingbo Su +4 more
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In this paper, a Lagrange multiplier method is investigated for designing distributed optimization algorithm, which convergence is analyzed from the view of multi-agent networks with connected graphs.
Yan Zhao, Qingshan Liu
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