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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 antennaThe hybrid algorithm has been designed to control the array’s faulty radiation power pattern.

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

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).obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization (HBO) algorithm

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

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 attentionTo perfect the performance of the algorithm, an optimized GWO is proposed based on a mutation operator

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

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 networkThe results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s CS.

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

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    

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: proposed optimizer performs better than the five other optimization algorithms: original (GWO), genetic algorithm(GA), particle swarm optimizer (PSO), improved (IGWO), and selective opposition based grey wolf optimization

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

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 353-355 doi: 10.1007/s11465-010-0098-6

Abstract: characteristics of the movement of a special-purpose three-axis servo platform, this paper presents an improved greyprediction proportional integral derivative (PID) control algorithm.Different weights at different time are given to different sampling moments in the algorithm, and theSimulation results show that the performance of response and stability of the platform of the improved algorithmThe control algorithm meets all requirements of the control system of the special-purpose three-axis

Keywords: grey prediction     proportional integral derivative (PID) control     improved algorithm     weight     servo platform    

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 theGWOs, the performance of the other improved GWOs is examined, verifying that for the same improved algorithm

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

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    

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    

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    

Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method

Xiao-ping BAI,Ya-nan LIU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 462-471 doi: 10.1007/s11709-016-0361-y

Abstract: In the Insight software environment, the Adaptive Simulated Annealing (ASA) algorithm is used to get

Keywords: civil engineering     dynamic reliability     grey relational degree     adaptive simulated annealing algorithm    

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    

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    

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    

Title Author Date Type Operation

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

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

Journal Article

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

Xiao-qing ZHANG, Zheng-feng MING

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

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

Control algorithm of a servo platform

Shouyong XIE, Xiwen LI, Shuzi YANG, Mingjin YANG,

Journal Article

Improved dynamic grey wolf optimizer

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

Journal Article

An Axiomatic Definition of Degree of Greyness of Grey Number

Liu Sifeng,Li Yi

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

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

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method

Xiao-ping BAI,Ya-nan 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