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The topology optimization of YKS5120B-3 NC gear shaper machine tool bed is completed based on ANSYS with the shape envelope of the whole tool bed as solution domain and the minimum static compliance as objective function. The optimal topology model of the tool bed is obtained. And then the tool bed model is reconstructed in Pro/E and re-tested by static and dynamic analysis in ANSAYS. The re-tested...
Energy model and its feature and the layer structure in iron and steel industry were described in detail. Energy balance and comprehensive optimization model was set up further with iron and steel industry production practice. The model analysis indicated that it was applicable to solve engineering problem. Energy input-output model was established with energy input-output table based on material...
Gear reducer is one of the most widely used methods in mechanical transmission, optimization of which is of great significance in improving the bearing capacity, prolonging service life and reducing its size and quality. By Visual Basic programming mixed with MATLAB, automatic optimization design for gear reducer is realized in the paper, design efficiency and quality greatly improved. Genetic algorithm...
This paper proposes a improved Genetic algorithm used in anti-missile systems, which is verified more efficient than the ordinary method. Experimental results simulated on 8 attacking objects was carried out. The improved Genetic algorithm improves normal Genetic algorithm by up to 6.07% in the average optimal time. These preferable results demonstrate the advantage of the adaptive Genetic algorithm...
In a MMSE Ultra-WideBand(UWB) selective rake receiver, the selection of optimal subset of multipath is important for the performance of system. As the optimal solution is NP hard, the Discrete Particle Swarm Optimization Multipath Selection algorithm (DPSO-MSa) was proposed. The DPSO-MSa can get near optimal performance after certain iterations. Simulation results are presents to compare with the...
Taking talents policy of Shanghai government for example and basing on analysis of research of policy affectees, we setup index structure of three dimensions. These three dimensions are talent increase, talent centralization and talent efficiency. We measured talents policy of Shanghai from year 2001 to 2006 with Fuzzy Optimization Methodology Model. The effect of talent policy, trend characteristic...
Plastic profiles produced by extrusion die are cooled down and calibrated by calibrators, so it is very important to properly design the cooling system in calibrator for the profile quality. Based on the finite element method (FEM) and the finite difference method (FDM), the numerical simulation of the cooling process is realized for plastic profile within calibrator. The simultaneous shape and topology...
Reservoir optimal operation is a nonlinear, multi-stage and strong constraint combinatorial optimization problem. As the standard particle swarm optimization (SPSO) easily trapped into local optima, this paper proposes a hybrid algorithm combining particle swarm optimization algorithm with chaotic search algorithm, also referred to as CPSO algorithm. Making use of the stochastic property and ergodicity...
In this paper, the author converts inequality constrained optimization problem into equality constrained optimization problem by using slack variables. Then we construct a new multiplier penalty function using the penalty function who belongs to equality constraints and was raised by Bertskas in 1982.
As an effective global search method, genetic algorithm has obvious advantages. But it usually has problems of premature convergence and local optimum in practical application. According to this, a new algorithm with improved selection, crossover and mutation is proposed. Through the simulation experiments, the improved algorithm shows its faster convergence and better stability. It is valid which...
Since system identification is closely related to control theory it is quite convenient that common tools of control may prove to be useful for identification as well. Semidefinite programming is now considered as a standard tool in control theory, however its applications for identification purposes are rare. This paper shows how L1 identification of the ARX model structure can be formulated as a...
Support Vector Machine (SVM) is a useful technique for data classification with successful applications in different fields of bioinformatics, image segmentation, data mining, etc. A key problem of these methods is how to choose an optimal kernel and how to optimize its parameters in the learning process of SVM. The objective of this study is to propose a Genetic Algorithm approach for parameter optimization...
In game theory, every equilibrium can be characterized by a binary relation on the game strategies. This relation - called generative relation - induces an appropriate solution concept. Game equilibrium is described as the set of non dominated strategies with respect to the generative relation. Evolutionary algorithms do not perform well for large games (hundred of players). This may be either because...
Web sites may contain numerous documents. Using some web techniques, it's possible to analyze users' data about using resources, contents of those documents and structure of web sites. Adaptive web sites automatically change their structure and representation based on visitor's behavior. Shortcutting is an approach that enables connecting two documents which has never been connected before. Most of...
Under the analysis of the present situation of urban roads at home and abroad, the paper reviews the development of tripper guiding information system, traffic-flow distribution model and route choice model. Then it has three multi-attribute decision-making model based on the influence factors of tripper route choice and uncertainty theories, in order to analyze the decision-making process of tripper...
Rail high-speed passenger lines (HSPL) have been developed rapidly in China; however, the traditional rail crew scheduling mode called responsible mode, in which crews are bundled with vehicles, is hard to adapt to the transit characteristic of HSPL. Moreover, the utilization of rail crew resources is commonly inefficient and the scheduling methods are generally behindhand. To reduce the pressure...
A novel approach for short-term hydrothermal power systems with cascaded reservoirs using cultural algorithm (CA) is presented in this paper. The large scale hydrothermal scheduling involves optimization of a non-linear objective function with a set of system and hydraulic constraints. The approach takes the water transport delay time between connected reservoirs and complicated hydraulic coupling...
The traditional transmission network planning is confined to a single-level construction, while the actual transmission network planning needs to take into account the time factor, namely how to build the best route to network planning. The difficulty of the multi-stage planning is the transition between stages, with the later stages of the decision-making depending on earlier stages of decision-making...
In this paper, some traditional methods used to solve complex functional equation were introduced at first, and then an improved ant colony algorithm based on DE operation is proposed. In the following, the algorithm given in this paper was utilized to get roots of complex functional equation, and satisfactory results are obtained. Some key technologies of the mathematical theory and algorithms about...
The image segmentation of a robot binocular stereo vision system is the key issue in imaging processing. In this paper, the method of 2-d maximum entropy threshold image segmentation with Chaos PSO algorithm is used to segment the images information collected by a robot vision system, and the algorithm is checked by a real robot binocular stereo vision system. Moreover, compared with previous research,...
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