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An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism Article

Xiao-qing ZHANG, Zheng-feng MING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1705-1719 doi: 10.1631/FITEE.1601555

Abstract: Due to its simplicity and ease of use, the standard grey wolf optimizer (GWO) is attracting much attention

Keywords： Swarm intelligence     Grey wolf optimizer     Optimization     Radial basis function network    

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Correction of array failure using grey wolf optimizer hybridized with an interior point algorithm None

Shafqat Ullah KHAN, M. K. A. RAHIM, Liaqat ALI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1191-1202 doi: 10.1631/FITEE.1601694

Abstract:

We design a grey wolf optimizer hybridized with an interior point algorithm to correct a faulty antenna

Keywords： Failure correction     Grey wolf optimizer     Interior point algorithm     Sidelobes     Deeper null depth level    

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Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization Research Article

Jian DONG, Xia YUAN, Meng WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1390-1406 doi: 10.1631/FITEE.2100420

Abstract: We propose a competitive binary (CBMOGWO) to reduce the heavy computational burden of conventional multi-objective problems. This method introduces a population competition mechanism to reduce the burden of electromagnetic (EM) simulation and achieve appropriate fitness values. Furthermore, we introduce a function of cosine oscillation to improve the linear convergence factor of the original binary (BMOGWO) to achieve a good balance between exploration and exploitation. Then, the optimization performance of CBMOGWO is verified on 12 standard multi-objective test problems (MOTPs) and four multi-objective knapsack problems (MOKPs) by comparison with the original BMOGWO and the traditional binary multi-objective particle swarm optimization (BMOPSO). Finally, the effectiveness of our method in reducing the computational cost is validated by an example of a compact high-isolation dual-band multiple-input multiple-output (MIMO) antenna with high-dimensional mixed design variables and multiple objectives. The experimental results show that CBMOGWO reduces nearly half of the computational cost compared with traditional methods, which indicates that our method is highly efficient for complex problems. It provides new ideas for exploring new and unexpected antenna structures based on multi-objective evolutionary algorithms (MOEAs) in a flexible and efficient manner.

Keywords： Antenna topology optimization     Multi-objective grey wolf optimizer     High-dimensional mixed variables    

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A novel grey wolf optimizer and its applications in 5G frequency selection surface design Research Article

Zhihao HE, Gang JIN, Yingjun WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1338-1353 doi: 10.1631/FITEE.2100580

Abstract: In benchmark tests, the proposed optimizer performs better than the five other optimization algorithms: original (GWO), genetic algorithm (GA), particle swarm optimizer (PSO), improved (IGWO), and selectiveopposition based grey wolf optimization (SOGWO).

Keywords： Grey wolf optimizer     Fifth-generation wireless communication system (5G)     Frequency selection surface    

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Improved dynamic grey wolf optimizer Research Articles

Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming,249140543@qq.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 887-890 doi: 10.1631/FITEE.2000191

Abstract: In the standard (GWO), the search wolf must wait to update its current position until the comparisonIn the dynamic GWO algorithms, the current search wolf does not need to wait for the comparisons betweenand its position can be updated after completing the comparison between itself or the previous search wolfThe position of the search wolf is promptly updated in the dynamic GWO algorithms, which increases the

Keywords： 群智能；灰狼优化算法；动态灰狼优化算法；优化实验    

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Optimal Design of Aperture Illuminations for Microwave Power Transmission with Annular Collection Areas Article

Xun Li, Baoyan Duan, Yiqun Zhang, Yongxin Guo

Engineering 2023, Volume 30, Issue 11,   Pages 63-74 doi: 10.1016/j.eng.2023.07.016

Abstract: A hybrid grey wolf optimizer and Nelder–Mead simplex method is developed to deal with this constrained

Keywords： Microwave power transmission     Beam collection efficiency     Ring-shaped beam     Annular collection area     Greywolf optimizer     Nelder–Mead simplex method    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: dome structures is achieved through three recent metaheuristic algorithms that are water strider (WS), greywolf (GW), and brain storm optimization (BSO).

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm    

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 990-1002 doi: 10.1007/s11709-022-0864-7

Abstract: This study examined the feasibility of using the grey wolf optimizer (GWO) and artificial neural network

Keywords： artificial neural network     grey wolf optimize algorithm     compressive strength     self-compacting concrete    

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An Axiomatic Definition of Degree of Greyness of Grey Number

Liu Sifeng,Li Yi

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 91-94

Abstract:

In this paper, an axiomatic system for the definition of degree of greyness of grey number is builtbased on discussion with two definitions of degree of greyness of grey number which have been put forwardTaking axioms as the criterion for definition of degree of grayness of grey number, a new formula fordefinition of degree of grayness of grey number has been formed with measure of the right range of greynumber and the background or field which is brought about by the grey number.

Keywords： grey systems     degree of greyness of grey number     measure     axiomatic definition    

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Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: In this study, the optimum cutting parameters are obtained by the grey relational analysis.The results of experiments show that grey relational analysis coupled with principal component analysis

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

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Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 31-35

Abstract: interval number to denote this index value, but none has studied the interval number decision model in greyBased on the above, the multi-attribute decision model of grey target based on interval number is derived, which extends the grey target decision model from real number sequence to interval number sequenceand richens the grey theories in grey target decision.

Keywords： interval number     grey target decision     model     application    

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Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs

Rajesh SIRIYALA, Gopala Krishna ALLURU, Rama Murthy Raju PENMETSA, Muthukannan DURAISELVAM

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 279-287 doi: 10.1007/s11465-012-0329-0

Abstract: Initially, the optimization of the dry sliding performance of the SiC-reinforced MMCs was performed using greyBased on the GRA, the optimum level parameters for overall grey relational grade in terms of WVL andAnalysis of variance was performed to determine the effect of individual factors on the overall grey

Keywords： aluminum     ANOVA (analysis of variance)     grey relational analysis     metal matrix composites     SiC particulates    

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Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 57-61

Abstract:

Aimed at the severe problems in tokens and computations of grey numbers, which expanded unnecessarilyand distorted the information heavily, this paper defined the standard interval grey number and thefirst and the second standard grey number, and analyzed their relationship.Furthermore, it designed the transformation rule from general grey number to the standard interval greynumber, and developed the operation principle of the standard interval grey number to solve preferably

Keywords： interval grey number     standard interval grey number     token     GM(1     1) model     computation rules    

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Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 48-51

Abstract:

Based on grey system theory and fuzzy theory, uncertain decision making problems and several relativearticles were studied, then points out the advantage and shortage of them when dealing with grey fuzzymaximum entropy formulism, a method for multi-attribute group decision making based on the theory of grey

Keywords： grey fuzzy relation     entropy     multi-attribute decision making    

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Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 98-101

Abstract: is influenced by many complex factors, and it has the characteristics of random and fluctuation, so greymodel and Markov model are combined together to establish a new Grey-Markov model in this paper .Thepaper adopts grey model and Markov model to show grey feature and random separately, at last the modelThe result shows the forecast precision of Grey-Markov model is higher than the forecast precision ofgrey model, the model can satisfy the demand in forecast precision, and it can be used for fire accidents

Keywords： Grey model     Markov model     fire accidents     forecast    

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Title Author Date Type Operation

An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism

Xiao-qing ZHANG, Zheng-feng MING

Journal Article

Correction of array failure using grey wolf optimizer hybridized with an interior point algorithm

Shafqat Ullah KHAN, M. K. A. RAHIM, Liaqat ALI

Journal Article

Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization

Jian DONG, Xia YUAN, Meng WANG

Journal Article

A novel grey wolf optimizer and its applications in 5G frequency selection surface design

Zhihao HE, Gang JIN, Yingjun WANG

Journal Article

Improved dynamic grey wolf optimizer

Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming,249140543@qq.com

Journal Article

Optimal Design of Aperture Illuminations for Microwave Power Transmission with Annular Collection Areas

Xun Li, Baoyan Duan, Yiqun Zhang, Yongxin Guo

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic algorithms

Journal Article

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Journal Article

An Axiomatic Definition of Degree of Greyness of Grey Number

Liu Sifeng,Li Yi

Journal Article

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Journal Article

Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs

Rajesh SIRIYALA, Gopala Krishna ALLURU, Rama Murthy Raju PENMETSA, Muthukannan DURAISELVAM

Journal Article

Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Journal Article

Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Journal Article

Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Journal Article