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Titlebook: Optimization and Control Methods in Industrial Engineering and Construction; Honglei Xu,Xiangyu Wang Book 2014 Springer Science+Business M

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Optimum Confidence Interval Analysis in Two-Factor Mixed Model with a Concomitant Variable for Gaugeatability, reproducibility, parts, gauge, and the ratio of variability of parts to variability of gauge. A numerical example is provided to compute the optimum confidence intervals to investigate the variability in the model.
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Robust Optimal Control of Continuous Linear Quadratic System Subject to Disturbances,mated by a sequence of finite-dimensional minimax optimal parameter selection problems. Furthermore, these finite-dimensional minimax optimal parameter selection problems can be transformed into semi-definite programming problems or standard minimization problems. A numerical example is presented to illustrate the developed method.
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Robustness of Convergence Proofs in Numerical Methods in Unconstrained Optimization,he Lyapunov function theorem. The Lyapunov function convergence theorem provides feedback type analysis and thus the outcomes are robust to small numerical errors in the initial states. It requires that the level sets of the objective function are properly nested everywhere in order to have global c
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Engineering Optimization Approaches of Nonferrous Metallurgical Processes,perating stability concerned, an intelligent sequential operating strategy is proposed on the basis of genetic programming (GP) adaptively designed, implemented as a multi-step state transferring procedure. The individuals in GP are constructed as a chain linked by a few relation operators of time s
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Development of Neural Network Based Traffic Flow Predictors Using Pre-processed Data,. This approach was evaluated based on some sets of traffic flow data captured on a section of the freeway in Western Australia. Experimental results indicate that the neural networks developed based on this pre-processed data outperform those that are developed based on either original data or data
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