Ordinal Optimization-Based Performance Model Estimation Method for HDFS [PDF]
IEEE Access, 2020 Modeling and analyzing the performance of distributed file systems (DFSs) benefit the reliability and quality of data processing in data-intensive applications. Hadoop Distributed File System (HDFS) is a typical representative of DFSs.
Tian Ma, Feng Tian, Bo Dong
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Coupling Elephant Herding with Ordinal Optimization for Solving the Stochastic Inequality Constrained Optimization Problems [PDF]
Applied Sciences, 2020 The stochastic inequality constrained optimization problems (SICOPs) consider the problems of optimizing an objective function involving stochastic inequality constraints.
Shih-Cheng Horng, Shieh-Shing Lin
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Simultaneous optimization of quantitative and ordinal responses using Taguchi method [PDF]
International Journal of Research in Industrial Engineering, 2018 In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables.
S. Pal, S. Gauri
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Multi-objective matroid optimization with ordinal weights [PDF]
Discrete Applied Mathematics, 2023 Bi-objective optimization problems on matroids are in general intractable and their corresponding decision problems are in general NP-hard. However, if one of the objective functions is restricted to binary cost coefficients the problem becomes efficiently solvable by an exhaustive swap algorithm. Binary cost coefficients often represent two categories
Kathrin Klamroth +2 more
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Embedding Ordinal Optimization into Tree–Seed Algorithm for Solving the Probabilistic Constrained Simulation Optimization Problems [PDF]
Applied Sciences, 2018 Probabilistic constrained simulation optimization problems (PCSOP) are concerned with allocating limited resources to achieve a stochastic objective function subject to a probabilistic inequality constraint.
Shih-Cheng Horng, Shieh-Shing Lin
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Integration of Ordinal Optimization with Ant Lion Optimization for Solving the Computationally Expensive Simulation Optimization Problems [PDF]
Applied Sciences, 2020 The optimization of several practical large-scale engineering systems is computationally expensive. The computationally expensive simulation optimization problems (CESOP) are concerned about the limited budget being effectively allocated to meet a ...
Shih-Cheng Horng, Chin-Tan Lee
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Minimal residual ordinal loss hashing with an adaptive optimization mechanism [PDF]
EURASIP Journal on Image and Video Processing, 2020 The binary coding technique has been widely used in approximate nearest neighbors (ANN) search tasks. Traditional hashing algorithms treat binary bits equally, which usually causes an ambiguous ranking.
Zhen Wang +3 more
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Ordinal Optimization for Optimal Orientation Problems in 3D Printing
IFAC-PapersOnLine, 2020 Abstract Compared with a traditional manufacturing process, 3D printing has advantages of performance and cost in personalized customization and has been applied in many fields. The problem of 3D model orientation optimization is a crucial one in practice.
Can Luo +6 more
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Ordinal Optimization with Subset Selection Rule
Journal of Optimization Theory and Applications, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, M.S., Lee, L.H.
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Study on the Algorithm for Train Operation Adjustment Based on Ordinal Optimization
Advances in Mechanical Engineering, 2013 It is a crucial and difficult problem in railway transportation dispatch mechanism to automatically compile train operation adjustment (TOA) plan with computer to ensure safe, fast, and punctual running of trains. Based on the proposed model of TOA under
Yong-jun Chen +3 more
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