Optimization Method of Locomotive Working Diagram Layout

Rational scheduling of locomotive paths (the locus of the locomotive point in the train working diagram) is an important step in drawing a locomotive working diagram by a computer. But there are some problems in this process, such as the computer usually drawing a locomotive path that overlaps with another locomotive path (in the circumstances, the actual users of the locomotive working diagrams often misread the locomotive planning). At present, there are many studies about assigning sets of locomotives to each train in a preplanned train schedule; in contrast, the studies of visualizing the locomotive planning are relatively rare. Through investigating the locomotive working diagram users, this paper points out that the layout of locomotive paths should put the distance between lines being as large as possible and should put the number of the intersection between lines being as few as possible as the optimization aim which is based to solve the problem of the lines overlap or the problem of the lines beyond the margins for drawing the locomotive paths. This paper also builds the optimization model of locomotive working diagram layout. Based on determining the position of locomotive paths which can be delineated, a genetic algorithm is used to solve the optimizing model of locomotive working diagram layout in this paper. An example of a train working diagram with 36 trains is given at the end of the paper, which indicates that the optimization model of locomotive working diagram layout can better solve the problem of locomotive planning visualization.

Anonymization on refining partition: Same privacy, more utility

In privacy preserving data publishing, to reduce the correlation loss between sensitive attribute (SA) and non-sensitive attributes(NSAs) caused by anonymization methods (such as generalization, anatomy, slicing and randomization, etc.), the records with same NSAs values should be divided into same blocks to meet the anonymizing demands of ?-diversity. However, there are often many blocks (of the initial partition), in which there are more than ? records with different SA values, and the frequencies of different SA values are uneven. Therefore, anonymization on the initial partition causes more correlation loss. To reduce the correlation loss as far as possible, in this paper, an optimizing model is first proposed. Then according to the optimizing model, the refining partition of the initial partition is generated, and anonymization is applied on the refining partition. Although anonymization on refining partition can be used on top of any existing partitioning method to reduce the correlation loss, we demonstrate that a new partitioning method tailored for refining partition could further improve data utility. An experimental evaluation shows that our approach could efficiently reduce correlation loss.

Joint Energy-Efficient Resource Allocation Scheme for AF-Based Multi-Relay OFDM Networks

In this paper, a joint resource allocation scheme for energy-efficient communication in cooperative orthogonal frequency division multiple (OFDM) networks based on subcarrier pairing (SP) is studied. The problem aimed at maximizing the system energy efficiency (EE) is formulated into a mixed-integer nonlinear programming (MINLP) problem. To solve the complex MINLP problem, we simplify the optimizing model as a typical fractional programming problem by defining the equivalent channel gain, thus Dinkelbach’s method consisting of outer iterations and inner iterations can be used to find the optimal solution to the MINLP problem proposed in polynomial time. Simulation results show that the proposed scheme can improve the system EE and ensure the quality of service (QoS) of users.

Study on the Optimizing Parameters of Underwater Drilling Blasting

Optimizing design of parameters is essential for the underwater blasting. The key point of optimizing model is to reflect the relation of blasting parameters, rock fragmentation and operation cost. In this paper, the blasting optimization mathematical model is established, and the optimization of the blasting parameters is obtained using the complex method with computer. Calculation results show that the blasting parameters designed by the optimizing model make the engineering cost lowest.

Research on Optimization for Reinforcement of Structures

The choice of structural reinforcement, such as increasing cross-section, steel-bonded, carbon fiber reinforced and etc, is affected by many factors. How to create optimal model is a major unresolved issues for designers to decide more scientific and rational structural reinforcement. The research obtains the weight of factors by Analytic Hierarchy Process and ascertains relative membership degree of factors by theory of Fuzzy Mathematics, and transforms qualitative impact of these factors into quantitative analysis, then the optimizing model is set up by The Generalized Hamming Distance as p=1 which is analyzed by an actual engineering that we can certificate the model valuable and useful. The research provides a simple and intuitive method of quantitative analysis for reinforcement by establishing optimization model, especially for both multi-objective and multi-factor decision-making, and overcome the arbitrariness when determining the reinforcement.

Optimum Design Study of a Hydraulic Pressure Derrick Based on Stability

The bearing load is very large when the hydraulic pressure derrick suspends cargo. The hydraulic pressure derrick is a very important component which transfers cargo load to hull. The method of optimization theory based on dual method was transplanted to optimize the hydraulic pressure derrick structure and the optimizing model of the hydraulic pressure derrick was established. The hydraulic pressure derrick structure was optimized under four load cases. The numerical results show that the structure strength and stability of hydraulic pressure derrick are fit.