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In this paper, an immune algorithm based on exponential variation (IABEV) is proposed to solve global numerical optimization problems. Variability scale of the algorithm is divided into several levels by the power series with a base of 10: large-scale level is conducive to jump out of local optimal solutions, which achieve global optimization, a small class of high-precision scales in favor of local...
A model of job shop scheduling with multi-resource constraints is studied in this paper, which fully considers the dynamic condition, flexible process plan, non-cutting time of the process, the availability of resource(machine/fixture) and the batch size of job based on practical production condition. IDEF0 and object-oriented technology are used to build the complicated model. The functional model...
A new index reflecting the extent to which a general theory is consistent is given in n-valued Łukasiewicz logical system based on Hausdorff metric and the truth degrees of formulas. Sufficient and necessary conditions for theories being consistent or inconsistent are given respectively.
One-way Street of city is described as a strongly connected directed graph. Mathematical model is established by using related theory of strongly connected directed graph. The two algorithms are proposed, one is for solving the shortest distance between any two nodes in a strongly connected graph, and another is for computing the length of a minimal oriented H cycle based on improved genetic algorithm...
This paper analyzes the existing decision tree classification algorithms based on variable precision rough set and finds that these algorithms have better classification accuracies and can tolerate the noise data. But when choosing the best attribute using variable precision rough set, these algorithms still have the shortages in ID3. That is, these algorithms also tend to choose the attribute with...
Scheduling problem of material processing is one of the intellectual scheduling problems and its model is as general as any other practical problem. The current theoretical research result of scheduling problems is mainly about material processing which represents the scheduling problems based on minimum completing time. Genetic Algorithm is a kind of random searching method that imitates creatures'...
In order to select a sensitive input parameter for artificial neural networks in damage detection and construct an efficient and robust back propagation algorithm for damage assessment, the application of neural networks to damage detection in structures is summarized and analyzed in this paper. By discussing the use of natural frequency as a diagnostic parameter, natural frequency can rationally...
Two image restoration algorithms based on modified Hop field neural network and variational partial differential equations (PDE) were proposed in our previous work. But the convergence rate of the proposed algorithms was slow. In this paper, we develop a fast update rule based on modified Hop field neural network (MHNN) of continuous state change and two fast image restoration algorithms. Experimental...
This paper via compares data de-duplication with other data storage methods, analyses characteristics of data de-duplication and applies the technology to data backup and recovery. Highlights special process of asynchronous backup and recovery based on data de-duplication. Data de-duplication can reduce backup volume, then save users data storage space, and cut the cost of storage, asynchronous backup...
Assessing typhoon losses quickly is the foundation to allocate and deliver relief supplies for helping disastrous people pull through difficulties during the process of typhoon and post-disaster immediately. Therefore, a new method for predicting typhoon losses based on back-propagation neural network is presented by using typhoon characters data, historic typhoon loss data, relative geographical...
Based on the analysis of inertia weight of the standard PSO, a PSO method is described with self-adaptive stochastic inertia weight based on diversity of individual location and fitness value. Position and fitness value correspond to the axis, based on the difference of location and fitness value from the generation and the current generation to construct a right triangle. It is to modify the inertia...
In this paper a verified PSO is introduced. In the proposed version of PSO the dimensions of the velocities are increased. This verified PSO is compared with the conventional PSO algorithm using thirteen test functions. The verification done in PSO algorithm has made it much better in achieving the optimization goals. The improvement is specially seen in higher dimensions.
A new particle swarm optimization (PSO) algorithm is presented based on three methods of improvement in original PSO. First, the iteration formula of PSO is changed and simplified by removal of velocity parameter that is unnecessary during the course of evolution. Second, the dynamically decreasing inertia weight is employed to enhance the balance of global and local search of algorithm. Finally,...
Identification of a nonlinear model is a main topic of modern identification. It is presented that a new approach to parameters estimation for one type of nonlinear models (Wiener model) by using improved bacterial foraging optimization (IBFO) algorithm. Firstly, the basic principle of bacterial foraging optimization (BFO) algorithm is introduced, and then proposed an IBFO. Parameters estimation for...
The paper gives a new color pattern based on contrasting the advantages and disadvantages of several kinds of color tag schemes. It adopts HSI color space and improves the transition from RGB color model to HSI color model by analyzing the particular characteristic of RGB color model, YUV color model and HSI color model. The test results and the site operations prove the new color pattern and the...
Due to the highly nonlinear and complex dynamics of hydraulic generator unit, a new adaptive intelligent control method of hydraulic generator unit based on the learning characteristic of neural network and the function approximation ability of the wavelet is presented. The adaptive intelligent control system consists of two wavelet networks, one realizes active identification and another control...
The existing security defense systems, which have limitations in many ways, can not adapt to the needs of the future network defense. In allusion to this problem, an intelligent security defense scheme and its intelligent security functions are designed. In order to packing the mainly functions in the form of component, a security function component model is designed. Finally, this paper gives a realization...
To simulate the formation of the turning machining chip in a virtual environment, the curling reasons, breaking conditions and generating thickness of chip are discussed, and numerical simulation models are built according to formation mechanism of chip. The 3-D solid models of chip are given according to classification criterion of chip, furthermore, the effect of machining parameters on shape dimension...
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