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The long term optimal operation of hydropower stations involves non-linear optimization with high dimensionality. An improved particle swarm optimization is presented in this article to solve the problem. The capacity of solving nonlinear problems is enhanced effectively through adjusting inertia factor dynamically in the algorithm of particle swarm optimization. In order to test the performance of...
A high performance DSP which is TMS320C6455, that has been used as the core of the new system platform. The EBCOT algorithm which is the core algorithm of the image compression JPEG2000 has been migrated and implemented in the embedded system. Many optimization technologies were proposed to make full of the performance of the DSP, which include program structure optimization, application layer optimization...
BP artificial neural network is a non-feedback network. This paper utilizes the initial weights of neural network to choose controller performance. Simultaneously according to the characteristics that process of central air-conditioning energy saving control is the system of multi-parameter and nonlinear time-varying complexity, we analysis and study its algorithm and system architecture. The experimental...
This paper presents a dapper Matlab implementation of solving multi-objective topology optimization of diffusion problems using the finite volume method. Except for the common objective, some constraints like center of gravity and the manufacturing demands, which are rarely discussed before, are included in this paper. Although specific attention is given to the heat conduction and its applications...
Statistics shows Chinese people who own vehicles account for only 3% of the world, while the number of people died each year from traffic accidents in China accounts for about 15%–20% worldwide. Especially the traffic fatality rate is as 10∼20 times as the developed countries such as Japan and the U.S., less-developed rescue facilities is the main factor why fatality rate is so high. This article...
Bacterial Foraging Optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely the Cooperative Bacterial Foraging Optimization (CBFO), which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two...
This paper researches on oil pressure characteristic in the shift control unit of a heavy vehicle's automatic transmission. The simulation model of its control unit was founded in the ITI-SimulationX software. Through a bench experiment, the correctness and effectiveness of the model has been checked. To solve the early failure problem of the clutch in the road test, optimizing its oil characteristic...
Aero-dynamic characteristics are one of the most important main performance indexes of motor vehicles, which is determinative to car-body final shape. Car-body integer optimization of aero-dynamic characteristics is a way to reduce air drag and improve operation stability. The method, confirming ideal basic body and then achieving perfect car-body shape, is a practical application in modern industrial...
The driving modes of a parallel-series hybrid electric vehicle (HEV) were analyzed. The system efficiency models for the HEV at the charging and discharging mode were proposed based upon the engine efficiency map, motor/generator efficiency map and battery efficiency map. The optimization of energy management strategy for the hybrid system was studied, whose optimization target is the maximum of discharging...
The 3-D substantial model is built for the bushing end of an ultra-high voltage transformer high-voltage coil and the surrounding of the equipotential shielding. This model is properly simplified according to the symmetrical structure of the coil. The electric field intensity nearby the transformer's high-intense coil and the surrounding of the equipotential shielding are calculated on the basis of...
IP Multimedia Subsystem (IMS) not only inherits the telecom advantages, but also brings several disadvantages, such as poor scalability, single point of failure, etc. Peer-to-Peer (P2P) network has the advantage of scalability and robustness, but there are some difficulties in the peer management and route optimization. By reusing the mechanism of signaling control and media negotiation in IMS, P2P...
Today technology innovation and fashion innovation are shortening the product life cycle, and result in demand uncertainty in supply chain. Under the environment of contact manufacturing (CM), a supply chain flexibility model is presented to describe in the relationship among capacity, lead time and inventory and the effective way to deal with demand uncertainty and mitigate the inventory risk through...
Cloud provides a shared resource pool for different independent or dependent applications. The virtualization techniques and power management techniques can enhance the flexibility with consolidate multiple virtual machines on the physical server. A key challenge is to automate the management of virtual servers while taking account of application requirements, resource utility and so on. This paper...
On the basis of the analysis and study of a classical big integer division, Knuth estimate-quotient algorithm, the thesis firstly advance a better algorithm for improving on Knuth's based on the long radix. The result proved available in theory. The experiment showed that the improved division algorithm is more efficient.
Design of prestressed concrete aqueduct is involved in multidimensional variables non-linear optimal problem, although there are many traditional optimization methods. However, more or less disadvantages of these traditional methods affect optimization results. As a result, a new method of Improved Genetic Algorithm which have better search capability and global optimization is applied in Xinjiang...
The paper simulate the construction process by programming the dam construction simulation system, and look for the parameters which have important impact on the simulation results such as dam construction schedule and placement intensity through the model parameters sensitivity analysis, then well targeted design the optimized construction program and provide advice and decision support to speed...
On the base of establishing rational talents structure evaluation index system the article defines indicator direction, index weight and has nondimension handling to establish comprehensive evaluation mathematics model. By defining two grades index and four structure index it has empirical study on talents structure evaluation of Hebei Province. The result shows that rational talents structure of...
This article is based on the theoretical study and experimental analysis of multi-objective genetic algorithm and artificial immune algorithm's characteristics, and presents a method which is based on immune genetic algorithm to solve multi-objective optimization problems. The main contents are as follows: Firstly, the multi-objective optimization problems are described. Secondly, this paper designs...
The transmission tower shape can be optimized by genetic algorithm to acquire the maximum fundamental frequency, Considering that there are some disadvantages such as premature convergence and low robustness in solving complex optimization problems with standard genetic algorithm, a new adaptive strategy is proposed to improve the performance of the algorithm, including the design for selection mechanism...
The existing RP(rapid prototyping) related software include a CAD module, a data processing module, and a monitoring and controlling module, which are independent of one another. Aiming at the issues above, this thesis picks-up the interior topological and geometrical information of model expressed in the boundary representation (B-Rep) using the development tools of ObjectARX and MDT(Mechanical Desktop)...
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