As the sports training predicting model based on chaos local predicting method still has the low predicting accuracy and the slow function speed problems, this paper proposes a sports training chaos predicting model based on weight control ant colony algorithm. It firstly uses the comprehensive weight factor to perform the weight control to the initial information of the new join node in the an...

As we all know, traditional electromagnetism mechanism (EM) algorithm has the disadvantage with low solution precision, lack of mining ability and easily falling into precocity. This paper proposes a new chaos electromagnetism mechanism algorithm combining chaotic mapping with limited storage QuasiNewton Method (EM-CMLSQN). Its main idea is that it adopts limit quasi-Newton operator to replace ...

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

This study deals with the control chaos using generalized backstepping method. This new method to control nonlinear systems was called generalized backstepping method because of its similarity to backstepping but its abilities to control more systems than backstepping. Generalized backstepping approach consists of parameters which accept positive values. The parameters are usually chosen option...

in recent years, significant research efforts have been devoted to the optimal planning of power systems. substation expansion planning (sep) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future demand. the large number of design variables, and combination of discrete ...

Data hiding is also known as data encapsulation or information hiding, it reduces system complexity for increased robustness .Proposed approach provides optimal solution for performing data hiding. The goal of data hiding technique is to embed the secret data into the cover image with minimum changes in the pixel values. Here the secret data is generated and embedded into the cover image by ran...

In order to solve the problem of low voltage caused by unbalanced load in distribution network, a transformer loss intelligent prediction model under is proposed. Firstly, mathematical with an established. The zero-sequence impedance and neutral line current are calculated using Chaos Game Optimization algorithm (CGO), correctness proved actual data. Then, correlation among network input variab...

To improve the accuracy of clustering classification, the Chaos Immune Algorithm was proposed. In this algorithm, the ergodic property of chaos phenomenon is used to optimize the initial population, so it can accelerate the convergence of Immune Algorithms. Chaotic systems are sensitive to initial condition system parameters. Through the clone selection operator, antibody circulation and supple...