Characterisation of the bremsstrahlung generated by a 450MeV superconducting electron linac using the inverse calculation method based on a genetic algorithm

Dynamic and static reactive power resources have become an important means of maintaining the stability and reliability of power system networks. For example, if reactive power is not appropriately compensated for in transmission and distribution systems, the receiving end voltage may fall dramatically, or the load voltage may increase to a level that trips protection devices. However, none of the previous optimal power-flow studies for reactive power generation (RPG) units have optimized the location and capacity of RPG units by the bus impedance matrix power-flow calculation method. Thus, this study proposes a genetic algorithm that optimizes the location and capacity of RPG units, which is implemented by MATLAB. In addition, this study enhances the algorithm by incorporating bus impedance power-flow calculation method into the algorithm. The proposed hybrid algorithm is shown to be valid when applied to well-known IEEE test systems.

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Project Team Formation Based on Knowledge and Cooperation Degree

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.3143 ◽

2010 ◽

Vol 44-47 ◽

pp. 3143-3147

Author(s):

Xiao Rong Huang ◽

Shun Sheng Guo ◽

Li Bo Sun

Keyword(s):

Genetic Algorithm ◽

Mathematical Model ◽

Calculation Method ◽

Project Team ◽

Team Formation ◽

Individual Member ◽

Formation Model ◽

Collaborative Model ◽

Team Members ◽

Formation Problem

To aim at the project team formation problem, this study proposes a formation model based on knowledge and cooperation degree. The ability of individual member and cooperation degree of team members are considered. In addition ,it presents a way of measuring candidate’s ability about knowledge, and establishes a collaborative model to measure the cooperation degree between team members. Furthermore, a calculation method of knowledge and cooperation degree is proposed, and then a mathematical model is established. Finally it presented a solution base on Genetic Algorithm for this model.

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Research on Damage Identification of Nonuniform Microcrack in Beam Structures

Advances in Civil Engineering ◽

10.1155/2021/8877821 ◽

2021 ◽

Vol 2021 ◽

pp. 1-21

Author(s):

Jia Guo ◽

Deqing Guan ◽

Yanran Pan

Keyword(s):

Genetic Algorithm ◽

Particle Swarm Optimization ◽

Calculation Method ◽

Structural Damage ◽

Damage Identification ◽

Wavelet Coefficient ◽

Particle Swarm ◽

Crack Identification ◽

Swarm Optimization ◽

Damage Location

Nonuniform microcrack identification is of great significance in mechanical, aerospace, and civil engineering. In this study, the nonuniform crack is simplified as a semielliptical crack, and simplified calculation methods are proposed for damage severity and damage identification of semielliptical cracks. The proposed methods are based on the calculation method for uniform cracks. The wavelet transform and the intelligent algorithm (IA) are used to identify the damage location and the damage severity of the structure, respectively. The singularity of the wavelet coefficient can be used to identify the signal singularity quickly and accurately, and IA efficiently and accurately calculates the structural damage severity. The particle swarm optimization (PSO) algorithm and the genetic algorithm (GA), widely used, are applied to identify the damage severity of the beam. Numerical simulations and experimental analyses of beams with transfixion and semielliptical cracks are carried out to evaluate the accuracy of the semielliptical crack calculation method and the method of wavelet analysis combined with PSO and GA for nonuniform crack identification. The results show that the wavelet-particle swarm optimization (WPSO) and the wavelet-genetic algorithm (WGA) can accurately and efficiently identify the structural semielliptical damage location and severity and that these methods are not easily influenced by noise. The damage severity calculation method for semielliptical cracks can accurately calculate the semielliptical size and can be used to identify damage in beams with semielliptical cracks.

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A New Background Value Improvement of Fractional Order Accumulated FAGM(1,1) Model and Its Application

Asian Research Journal of Mathematics ◽

10.9734/arjom/2019/v12i430092 ◽

2019 ◽

pp. 1-14

Author(s):

Lang Yu ◽

Xiwang Xiang ◽

Lizhi Yang

Keyword(s):

Genetic Algorithm ◽

Fractional Order ◽

Exponential Growth ◽

Calculation Method ◽

Prediction Accuracy ◽

Simple Calculation ◽

Integral Theory ◽

Optimal Order ◽

Background Value ◽

Actual Sequence

The prediction accuracy of the fractional FAGM(1,1) model mainly depends on the calculation of the background value. To improve the prediction accuracy of the FAGM(1,1) model, a new background value calculation method is proposed. By analyzing the cause of the background value error, considering the regularity of the fractional-order accumulation sequence with non-homogeneous exponential growth, the non-homogeneous exponential curve is used to fit the fractional-order accumulation sequence, combined with the integral theory, to accumulate the actual sequence on the interval. The result of the integration is used as a new background value. The example shows that using the new background value calculation method combined with the Genetic Algorithm to find the optimal order, the fitting and prediction accuracy of the fractional FAGM(1,1) model is obviously improved, and the background value has the characteristics of simple calculation and strong practicability.

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