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Application of an Improved Genetic Algorithm for Optimal Design of Planar Steel Frames

Morteza Madhkhan, Mohammad Reza Baradaran
2018 Periodica polytechnica. Civil engineering  
For performance evaluation and comparison, the method was used to design and optimize 10-story and 24-story frames based on the LRFD method as per AISC regulations with the finite element method used for  ...  This study presents a modified version of GA called Improved Genetic Algorithm (IGA) for the optimization of steel frame designs.  ...  At each stage, frame analysis was performed based on the sections generated by the Genetic Algorithm (GA) and improved by the Improved Genetic Algorithm (IGA).  ... 
doi:10.3311/ppci.13039 fatcat:lkxwtww4jbbonbbna4mngn7n3m


Yu Xiao
2022 Revista Brasileira de Medicina do Esporte  
A comparative analysis is performed between the nonlinear differential equations and the Levenberg–Marquardt method algorithm.  ...  Methods: The selection method by competition is adopted to elect the random crossover of male crossover probability with high similarity to generate a new population.  ...  The qualitative analysis based on experience changes to the quantitative analysis by mathematical algorithm.  ... 
doi:10.1590/1517-8692202228052021_0537 fatcat:lq5gw4a2vnenjer22ac2eaxsli

Simulation Study of Swarm Intelligence Based on Life Evolution Behavior

Yanmin Liu, Ying Bi, Changling Sui, Yuanfeng Luo, Zhuanzhou Zhang, Rui Liu
2015 Discrete Dynamics in Nature and Society  
Additionally, PSO is a random swarm intelligence algorithm with the genetic and sociological property, so we embed the improved mutation and crossover operation to particle swarm optimization (PSO) and  ...  of DNA fragments by the environmental change to improve the performance efficiency of intelligence algorithms.  ...  , and as a result, the strategies can be an effective improvement method for the algorithm design and variants. optimization problem, the mechanisms of the mutation and crossover operation of DNA fragments  ... 
doi:10.1155/2015/291298 fatcat:ddmgpjje4nfsvd24jxofqa3fae

Multi-dimensional scaling and MODELLER-based evolutionary algorithms for protein model refinement

Yan Chen, Yi Shang, Dong Xu
2014 2014 IEEE Congress on Evolutionary Computation (CEC)  
This paper presents three evolutionary algorithms for protein model refinement, in which multidimensional scaling(MDS), the MODELLER software, and a hybrid of both are used as crossover operators, respectively  ...  The MDS-based method improved the best of a pool of predicted models in terms of the global distance test score (GDT-TS) in 9 out of 16test targets.  ...  Three New Crossover Operators 1) MDS-based method-The MDS-based crossover algorithm is shown in Given k models and their respective ProQ2 scores, the algorithm generates one new model.  ... 
doi:10.1109/cec.2014.6900443 pmid:25844403 pmcid:PMC4380876 dblp:conf/cec/ChenSX14 fatcat:w2cqkgrz45d2zd6r7v4tsthopa

Hybrid K-means Algorithm and Genetic Algorithm for Cluster Analysis

Dianhu Cheng, Xiangqian Ding, Jianxin Zeng, Ning Yang
2014 TELKOMNIKA Indonesian Journal of Electrical Engineering  
Cluster analysis is a fundamental technique for various filed such as pattern recognition, machine learning and so forth.  ...  In addition, due to the large time consuming in conventional method, an improved fitness function is proposed. According to the simulation results, the proposed approach is feasible and effective.  ...  Design for the Improved Genetic Algorithms Clustering 4.1.  ... 
doi:10.11591/telkomnika.v12i4.4805 fatcat:6fgc7dlflvcidjwct4e2fmwkmm

A novel feature selection method using whale optimization algorithm and genetic operators for intrusion detection system in wireless mesh network

R. Vijayanand, D. Devaraj
2020 IEEE Access  
INDEX TERMS Crossover and mutation operator, IDS for WMN, improved whale optimization algorithm, WOA-based feature selection method, WOA + genetic operators. 56848 VOLUME 8, 2020 R.  ...  Our proposed method had better attack detection rate than the standard WOA and other evolutionary algorithms; it also had good accuracy and was suitable for IDS in the wireless mesh networks.  ...  In [7] , the genetic algorithm (GA)-based wrapper method is used to detect the informative features for improving the performance of the SVM classifier.  ... 
doi:10.1109/access.2020.2978035 fatcat:pglmegxqbbd3xasxw2bgefxv2q

Web Log Mining Based-on Improved Double-Points Crossover Genetic Algorithm

Jin Xie
2014 Journal of Multimedia  
Finally, a new genetic algorithm based on double-points crossover genetic algorithm is designed.  ...  This paper proposes an improved double-points crossover genetic algorithm for mining user access patterns from web log files. Our work contains three different components.  ...  IMPROVED DOUBLE-POINT CROSSOVER GENETIC ALGORITHM Fig. 8is a distribution curve of each kind number of accessed pages. For example, 318 users access 5 pages.  ... 
doi:10.4304/jmm.9.6.804-809 fatcat:ixpdzyzcq5hfhfb76wllasrbma

An Improved Genetic Algorithm for Solving the RGV Shop Scheduling Problem

Hao Fan, Xiaoyan Yu, De-qin Shu, Wei-hong Guan, Zhong-hao Guo, Shuo Feng
2019 Journal of Physics, Conference Series  
The improved genetic algorithm and the traditional genetic algorithm are implemented.  ...  And the time efficiency of the improved algorithm is also better than the traditional genetic algorithm.  ...  Therefore, this paper adopts an improved crossover method for the scheduling problem of RGV, that is, a crossover is set for two CNC scheduling sequences to cross, but the crossover of the crossover points  ... 
doi:10.1088/1742-6596/1314/1/012133 fatcat:zboeapwpgzew3njqtsee5jecc4

Improved Genetic Algorithm Based 2-D Maximum Entropy Image Segmentation Algorithm [chapter]

Jianjun Wang
2012 Advances in Intelligent and Soft Computing  
Since simple genetic algorithm based 2-D maximum entropy image segmentation algorithm has the problem of premature, this paper proposes an improved genetic algorithm.  ...  Theoretical analysis and experiment results shows, compared with basic genetic algorithm, the proposed genetic algorithm based 2-D Maximum Entropy Segmentation algorithm's acquired segmentation effectiveness  ...  Operation time for one times Average time of 10 times Group list method 2.1 h Genetic algorithm 109.6s Proposed method 136.7s  ... 
doi:10.1007/978-3-642-30223-7_83 fatcat:ihjgobsbnrgpdit35kqh42rhfi

Application Research on Data Mining Algorithm in Intrusion Detection System

W.Z. Wu, L.Q. Liu, B. Xu
2016 Chemical Engineering Transactions  
Genetic algorithm has good global optimization ability, and the improved crossover operator and mutation operator can be used to generate a better chromosome.  ...  The experimental results show that this method improves the accuracy of clustering, speeds up the convergence rate, and enhances the stability of the algorithm.  ...  For unknown types of attacks, the improved k-means clustering method based on genetic algorithm has a certain ability of detection.  ... 
doi:10.3303/cet1651102 doaj:53951e7a279541a6862e18a1e2efea37 fatcat:6asb2loib5cuxnqi7onm6uibui

Study on a Novel Hybrid Intelligent Fault Diagnosis Method Based on Improved DE and RBFNN

Liu Yi
2016 International Journal of Database Theory and Application  
for obtaining the improved DE(DASDE) algorithm.  ...  So an improved differential evolution algorithm based on dynamic adaptive adjustment strategy is proposed to optimize the parameters of RBFNN model for obtaining the optimal RBFNN (DASDERBFNN) method.  ...  So an improved differential evolution algorithm based on dynamic adaptive adjustment strategy is proposed to optimize the parameters of RBFNN model for obtaining the optimal RBFNN(DASDERBFNN) method.  ... 
doi:10.14257/ijdta.2016.9.8.16 fatcat:7ssul5iwzbfulcljg7onsagptq

Design and Analysis of Improvised Genetic Algorithm with Particle Swarm Optimization for Code Smell Detection

Many code smell approaches are rule based. The rule based approaches are based on trial and error method. Genetic Algorithm is a heuristic Algorithm by Darwin's Theory.  ...  This paper presents a metric based code smell detection approach by Genetic Algorithm with particle swarm optimization based on Euclidean data distance.  ...  ANALYSIS AND DESIGN OF GENETIC ALGORITHM A. Genetic Algorithm The Genetic Algorithms [3]  Crossover Crossover phase is significant one in genetic algorithm.  ... 
doi:10.35940/ijitee.a5328.119119 fatcat:v3estafvyffuncbya5le2mykju

An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning

Heng Wang, Zhenzhen Zhao, Zhiwei Guo, Zhenfeng Wang, Guangyin Xu
2017 Complexity  
Then, to overcome the shortcoming of the traditional clustering algorithm, an improved fuzzy c-means (FCM) algorithm based on adaptive genetic algorithm and semisupervised learning is proposed.  ...  Finally, simulation experiments are conducted from two aspects of qualitative analysis and quantitative analysis, which demonstrate that the proposed algorithm performs excellently in improving clustering  ...  Conclusions In this paper, an improved clustering method based on genetic algorithm and semisupervised learning (AG-SL-FCM) is proposed for a detection system of public security events.  ... 
doi:10.1155/2017/8130961 fatcat:zzos4q3u3va4fhxhfwgichszwa

Evolutionary Algorithm-Based Error Parameterization Methods for Data Assimilation

Yulong Bai, Xin Li
2011 Monthly Weather Review  
Motivated by evolutionary algorithm concepts that have been developed in the control engineering field for years, the authors propose a new data assimilation method coupled with crossover principles of  ...  genetic algorithms based on ensemble transform Kalman filters (ETKFs).  ...  We are very grateful to the two anonymous reviewers for their constructive suggestions and useful advices.  ... 
doi:10.1175/2011mwr3641.1 fatcat:5ezuhcznqzaztkygcg6zzmwkna

Optimization Design and Calculation of Mooring System Parameters based on Genetic Algorithm

Liang-yu Xia, Li Zhi, Ling Chen, Yue Cheng, P. Tandon, W. Wisnoe, M.Z. bin Abdullah
2018 MATEC Web of Conferences  
Based on the static equilibrium model of mooring system parameters, the multi -objective optimization model is established and the genetic algorithm is introduced as the optimization algorithm, which improves  ...  the crossover operator.  ...  method for analysis and calculation; Xing-ping Xu [3] studied single point mooring system from the perspective of dynamics.  ... 
doi:10.1051/matecconf/201815307006 fatcat:3ymxuti63bcjrhfyj7l32sxhmq
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