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Real-time simulation technique of power systems is becoming realizable due to the growing significant computational power of computing platform. This paper builds a real-time prototypical platform based on PXI and LabVIEW as its main hardware and software architecture. Taking advantage of the integration characteristics of NI products, the platform embodies high expansibility and good compatibility...
By referencing the effect of environment to the biologic evolution, an environment-gene double evolution immune clone algorithm (EGICA) is proposed based on normal immune clone algorithm. This algorithm can avoid blind search effectively and enhance the convergence speed since an environment-gene double evolution mutation operator is introduced, which can accumulate the experience of evolution process...
Aim at the problem that it is difficult to detect reciprocating compressor early fault data with complex shape clusters, a novel fault detection algorithm is put forward based on antibody clonal selection and immune memory principle. Firstly, high dimension space of raw feature signals is constructed by multivariate statistical analysis, and then the local tangent space alignment (LTSA) algorithm...
Large amount of multivariate data in many areas of science raises the problem of data analysis and visualization. Focusing on high dimensional and nonlinear data analysis, an improved manifold learning algorithm is introduced, then a new approach is proposed by combining adaptive local linear embedding (ALLE) and recursively applying normalized cut algorithm (RANCA). A novel adaptive local linear...
In this study, a novel dynamic agglomerative hierarchical clustering algorithm which combines Boltzmann theory of thermodynamics and a graph-theoretic representation of data objects is put forward for data with non-sphere shape clusters. The new algorithm employs neighbors searching operator and vertices spanning operator to construct the linkage paths between vertices. Additionally, in order to obtain...
Aim at the problem that classical Euclidean distance metric cannot generate a appropriate partition for data lying in a manifold, a genetic algorithm based clustering method using geodesic distance measure is put forward. In this study, a prototype-based genetic representation is utilized, where each chromosome is a sequence of positive integer numbers that represent the k-medoids. Additionally, a...
Owing to the demanding processing accuracy and speed for image registration in industrial application, an approach to image registration based on Pseudo-Polar Fast Fourier Transform (PPFFT) and Small World Clonal Selection Algorithm (SWCSA) is introduced. We propose a three-step procedure. Firstly, PPFFT is performed to the image. Then, by using the magnitude of PPFFT, a cost function is designed...
Inspired by complementary strategies, a hybrid supervised artificial immune classifier is put forward, which is on the basis of the clonal selection principle, and combined with the Fuzzy C-Means clustering (FCM) algorithm. With the help of FCM clustering, the initial antibodies that image features of data set are extracted effectively, and then a clonal selection algorithm named CLONALG is adopted...
Analysis of large amount of data is needed in many areas of science, and this depends on dimensionality reduction of the multivariate data. Local linear embedding (LLE) is efficient for many nonlinear dimension reduction problems because of its low computation complexity and high efficiency, however LLE often leads to invalidation in the event that the data is sparse or noise contaminated. In order...
In this paper, a mutation with cycle probability is designed by simulating the evolutionary rule of the earth creature, and a genetic algorithm based on the cycle mutation, presents the ability in improving search efficiency and overcoming premature to some extent. To further improve performance of the algorithm, the selection is mended according to the phenomena that optimum individual always plays...
To solve the problem of on-line dynamic planning of mobile robots in unknown environments, inspired by the mechanism of idiotypic network hypothesis, a hybrid immune network algorithm (HINA) is proposed. To improve the planning efficiency of immune network algorithm (INA) and realize optimal on-line dynamic obstacle avoidance, a new adaptive artificial potential field (AAPF) method is presented by...
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