A single mode of transportation can not satisfy the agile manufacturing, rapid response from the customer demand, logistics supply chain management, and many other aspects with the rapid development of economy. Multim...
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ISBN:
(纸本)9783037858042
A single mode of transportation can not satisfy the agile manufacturing, rapid response from the customer demand, logistics supply chain management, and many other aspects with the rapid development of economy. Multimodal combined transport provide the corresponding solutions. Multimodal combined transport helps to save transportation costs or to save transportation time. And multimodal combined transport has a great significance to improve the transportation service level, to strengthen competition ability, to improve social comprehensive benefit. This article give an example from Liuzhou to Guangzhou. This article make a detailed scheme of Multimodal combined transport. In this paper, integrated transport path optimization model of multimodal combined transport of is set up with linear programming method. And integrated transport path optimization model is solved.
linear programming method is presented for calculation of the Buckling critical load of the pile in nonlinear soils. Matlab programming for buckling stability analysis of pile in nonlinear soils is self-provided. Case...
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linear programming method is presented for calculation of the Buckling critical load of the pile in nonlinear soils. Matlab programming for buckling stability analysis of pile in nonlinear soils is self-provided. Cases analysis of buckling stability analysis for both test piles and model piles in nonlinear soils are done, and conclusions are derived as follows: (1);the key parameters lambda and V in the transient buckling stability equation has extremely remarkable linear relationship with each other;(2) the buckling critical load of the pile will decrease with the increase of horizontal load at the top of the pile;(3) critical buckling load value of the pile in nonlinear soils is much smaller than that of the pile by m-method, and it is advised that nonlinear effects of soils should be carefully considered in application for critical buckling analysis of pile in practice.
A new method for detecting negative cycles in a graph is proposed. This method is based upon the primal - dual relationships of a linear program formulated from an assign- ment problem type network. A computer program...
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A new method for detecting negative cycles in a graph is proposed. This method is based upon the primal - dual relationships of a linear program formulated from an assign- ment problem type network. A computer program is developed for this new method to include the complete solution of the assignment problem. Results are given on program efficiency
In this paper, a linear programming method is adopted to numerically search the entire admissible PID settings in the frequency domain. The results are demonstrated in the coefficient plane and the coefficient space. ...
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In this paper, a linear programming method is adopted to numerically search the entire admissible PID settings in the frequency domain. The results are demonstrated in the coefficient plane and the coefficient space. Henceforth, the relationship between the PID coefficients and the specifications in terms of gain margin and phase margin to be satisfied is shown graphically. The developed method characterizes all the solution sets in the parameter plane according to the pre-specified specifications, and it also facilitates the tuning process effectively. This alternative PID tuning strategy provides a systematic design procedure. It can be evolved as a subject in the teaching course for control education.
This paper proposes a sensor fault detection method based on an improved zonotopic Kalman filter (ZKF) for discrete-time systems with parameter uncertainty. In the residual generation step, an improved ZKF is designed...
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This paper proposes a sensor fault detection method based on an improved zonotopic Kalman filter (ZKF) for discrete-time systems with parameter uncertainty. In the residual generation step, an improved ZKF is designed to generate robust residuals. The improved ZKF is designed by directly optimizing the estimated interval widths, which provides a clear geometric interpretation and yields tighter uncertainty bounds compared to the commonly used Frobenius norm optimization method. Moreover, the gain matrix of the improved ZKF is computed by the linear programming method, which is numerically efficient. In the residual evaluation step, the improved ZKF is used to obtain guaranteed adaptive thresholds. Then, to illustrate the superiority of the proposed fault detection method, a comparison study with application to a wind turbine drivetrain is proposed, which illustrates that the proposed method can achieve more accurate fault detection results compared with the commonly-used Frobenius norm optimization approach.
In the optimum design of an FIR filter by the complex Chebyshev method, it is difficult to limit the increase of computational effort and to guarantee convergence to an optimum solution due to the nonlinearity of the ...
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In the optimum design of an FIR filter by the complex Chebyshev method, it is difficult to limit the increase of computational effort and to guarantee convergence to an optimum solution due to the nonlinearity of the problem and the instability of the frequency points for the optima. In this paper, the complex Chebyshev approximation problem is formulated as a linear semi-infinite programming problem by means of the real rotation theorem. An optimum design method is proposed using the three-phase method, a linear semi-infinite programmingmethod. In the present method, the design problem is first reduced to a linearprogramming problem with constraints and a provisional solution is derived by the simplex method. After the constraints corresponding to the degenerated optimum frequencies contained in the provisional solution are combined, the solutions are adjusted to satisfy the optimum condition so as to obtain an optimum solution. Since low accuracy is sufficient for the provisional solution, memory requirements and computational effort can be reduced. By means of a design example, it is shown that the proposed method is superior in terms of solution accuracy and computational effort to the technique based on the simplex. method. (C) 2003 Wiley Periodicals, Inc.
Due to the congestion in urban rail transit during peak hours, this study proposes a hierarchical coordinated passenger inflow control model for overloaded metro lines from three dimensions, namely line, station and t...
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Due to the congestion in urban rail transit during peak hours, this study proposes a hierarchical coordinated passenger inflow control model for overloaded metro lines from three dimensions, namely line, station and ticket gate. The hierarchical structure divides the system into three control layers and the model is established using the linear programming method. An improved particle swarm optimisation (PSO) algorithm, combining the interior penalty function and the basic PSO algorithm, is used to find the optimal objective value. In addition, the objective function with the penalty function to transform the constrained optimisation problem into an unconstrained optimisation problem is developed to solve the model. Finally, a real-world instance with operation data of the Beijing Metro Line 5 is implemented to demonstrate the performance and effectiveness of the proposed approaches.
Optimal transport maps and plans between two absolutely continuous measures mu and nu can be approximated by solving semidiscrete or fully discrete optimal transport problems. These two problems ensue from approximati...
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Optimal transport maps and plans between two absolutely continuous measures mu and nu can be approximated by solving semidiscrete or fully discrete optimal transport problems. These two problems ensue from approximating mu or both mu and nu by Dirac measures. Extending an idea from Gigli (2011, On Holder continuity-in-time of the optimal transport map towards measures along a curve. Proc. Edinb. Math. Soc. (2), 54, 401-409), we characterize how transport plans change under the perturbation of both mu and nu. We apply this insight to prove error estimates for semidiscrete and fully discrete algorithms in terms of errors solely arising from approximating measures. We obtain weighted L-2 error estimates for both types of algorithms with a convergence rate O(h(1/2)). This coincides with the rate in Theorem 5.4 in Berman (2018, Convergence rates for discretized Monge-Ampere equations and quantitative stability of optimal transport. Preprint available at arXiv:1803.00785) for semidiscrete methods, but the error notion is different.
In this paper, we propose a novel multi-attribute group decision making (MAGDM) method under interval-valued intuitionistic fuzzy environment by integrating extended TOPSIS and linear programming methods. We assume th...
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In this paper, we propose a novel multi-attribute group decision making (MAGDM) method under interval-valued intuitionistic fuzzy environment by integrating extended TOPSIS and linear programming methods. We assume that multiple decision makers provide the input information, namely the assessment values and attribute weights using interval-valued intuitionistic fuzzy (IVIF) values for incorporating inherent uncertainty in the MAGDM process. Furthermore, the weights of decision makers given by experts to describe their importance in group decision making are assumed as IVIF values. The advantage and disadvantage scores are employed to determine the individual measure of importance for each decision maker. Aggregation of the assessment values and attributes weights are performed using two different IVIF aggregation operators. A weighted similarity measure, based upon the optimal attributes weights obtained through linear programming method, is defined for determining relative closeness coefficients for selection of the most preferred alternative. A real-world case study is provided to illustrate the working of the proposed methodology. Moreover, a thorough comparison has been done with related existing works in order to show the advantages of the methodology. (C) 2018 Elsevier B.V. All rights reserved.
The behavior of the axial next-nearest-neighbor Ising (ANNNI) model in an external magnetic field is investigated using a low-temperature expansion of the free energy. Unusual cascades of phase transitions and “compl...
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The behavior of the axial next-nearest-neighbor Ising (ANNNI) model in an external magnetic field is investigated using a low-temperature expansion of the free energy. Unusual cascades of phase transitions and “complete devil's staircases,” unexpected for the ANNNI model, are found.
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