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A two-stage approach for structural topology optimization
Advances in Engineering Software, 1999Abstract This paper proposes a two-stage optimization algorithm for topology optimization based on the homogenization method. The multistage approach aims to increase the stability and overall efficiency of homogenization-based topology optimizations. The homogenization method employed in this study uses a material constraint, which seeks the optimal
C.-Y. Lin, J.-N. Chou
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A Two-Stage Approach for Optimizing Simulation Experiments
CIRP Annals, 1993Summary Simulation experiments involve many parameters (factors) not all of which significantly effect system performance. This paper proposes the application of Taguchi method prior to optimization, to reduce the number of experiments using orthogonal array design, and to determine the significant factors though sensitivity analysis.
N.C. Ho +3 more
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Optimal multi-level thresholding using a two-stage Otsu optimization approach
Pattern Recognition Letters, 2009Otsu's method of image segmentation selects an optimum threshold by maximizing the between-class variance in a gray image. However, this method becomes very time-consuming when extended to a multi-level threshold problem due to the fact that a large number of iterations are required for computing the cumulative probability and the mean of a class.
Deng-Yuan Huang, Chia-Hung Wang
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A two-stage approach for VMAT treatment plan optimization
2013 IEEE International Conference on Automation Science and Engineering (CASE), 2013In this paper we study the optimization problem for the radiation treatment planning of Volumetric-Modulated Arc Therapy (VMAT). Considering dose rate and MLC leafs as decision variables, we formulate the problem as nonlinear integer programming problem, which is very difficult to solve. A two-stage approach is proposed to tackle it, where in the first
Bofei Sun +3 more
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Two-stage H ∞ optimization approach to multirate controller design
International Journal of Control, Automation and Systems, 2012A two-stage H ∞ optimization methodology is presented for designing multirate controllers achieving comparable H ∞ closed-loop performance with that of an optimal fast rate design at a reduced real-time computational load.
Sergio López-López +2 more
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A two-stage optimization approach for sulphur emission regulation compliance
Maritime Policy & Management, 2016ABSTRACTIn this paper, we present a two-stage optimization model for the machinery system selection problem. The objective is to minimize total cost, while aggregated power requirement and emission regulations are constraining the problem. Future fuel prices are considered to be uncertain.
Øyvind Patricksson, Stein Ove Erikstad
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Saddle point approximation approaches for two-stage robust optimization problems
Journal of Global Optimization, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ning Zhang, Chang Fang
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System approach in optimal management problems for two-stage technological lines
Collection of Research Papers of the National Mining University, 2022Purpose of work is to research and design process optimization and optimal operational management for a two-stage technological line. Methodology. To achieve the goal, we apply a comprehensive approach, which consists of the formalization and analysis of operational management tasks and technological lines designing.The methods of probability theory ...
I Novitskyi, V Sliesariev, Y Shevchenko
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A Two Stage Optimization Approach for Calibrating Water Distribution Systems
Water Distribution Systems Analysis 2010, 2011BWCN is a competition for calibrating pipe roughness coefficients and demand pattern multipliers of CTown Water Distribution System (WDS) to measured SCADA (hourly tank levels and pump flows) and fire flow test data in a 1-week operation. In a pre-calibration step, quality of the data is assessed, base demands for the fire flow tests are estimated, by ...
Masoud Asadzadeh +2 more
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Optimal Nursing Home Shift Scheduling: A Two-Stage Stochastic Programming Approach
2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), 2020In this paper, we study a nursing home staff schedule optimization problem under resident demand uncertainty. We formulate a two-stage stochastic binary program accordingly, with objective to minimize the total labor cost (linearly related to work time) incurred by both regular registered nurses (RRNs) and part-time nurses (PTNs).
Shujin Jiang +3 more
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