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The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 38-42

Abstract: The micro genetic algorithms and FDTD are combined to design the high Q inductor.

Keywords： FDTD     genetic algorithms(GA)     spiral inductor     quality factor    

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Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Based on GeneticAlgorithms-adaptive Network-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 61-65

Abstract: with adaptive network-based fuzzy inference system, solved solution of the system model with parallel geneticalgorithms, and received optimal technical and economic indices.

Keywords： adaptive network-based fuzzy inference system     parallel genetic algorithms     technical and economic parameter    

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Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: and the minimum mass of the studied part, is proposed by combining the response surface method and geneticalgorithms in this paper.And a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization.

Keywords： planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: This paper presents a combined method based on optimized neural networks and optimization algorithmsThe algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithm(GA).In the first example, the performance of two algorithms, OANN + AOA + PS and OANN + GA + PS, is investigatedResults show that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structural

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 322-334 doi: 10.1007/s11708-015-0362-x

Abstract: and control a grid-connected PV source by using an adaptive neuro-fuzzy inference system (ANFIS) and geneticalgorithm (GA) controller.The data are optimized by GA and then, these optimum values are used in network training.The simulation results indicate that the ANFIS-GA controller can meet the need of load easily with less

Keywords： photovoltaic system     maximum power point (MPP)     adaptive neuro-fuzzy inference system (ANFIS)     genetic algorithm(GA)    

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Evacuation Reliability Calculation in Case of Building Fire Based on Genetic Algorithms

Wang Jinhui,Lu Shouxiang

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 58-61

Abstract:

The risk of people under building fire is expressed by genetic algorithms (GAs) reliability indexElementary program of genetic algorithm is basically discussed.compared with the result based on Monte-Carlo, the result of case analysis shows its efficiency, and genetic

Keywords： genetic algorithms     fire     evacuation     reliability    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1The performance of the novel ANFIS-GA model was compared to that of other benchmark models, namely logisticregression (LR) and radial basis function regression (RBFR) algorithms.The results indicated that the ANFIS-GA model was the best at predicting Y1 (R = 0.945) and Y2Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 495-505 doi: 10.1007/s11708-013-0267-5

Abstract: This paper described the production of karanja biodiesel using response surface methodology (RSM) and geneticalgorithm (GA).The mathematical regression model proposed from the RSM was coupled with the GA.

Keywords： optimization of karanja biodiesel     genetic algorithm (GA)     response surface methodology (RSM)     percentage    

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Practical optimization of deployable and scissor-like structures using a fast GA method

M. SALAR, M. R. GHASEMI, B. DIZANGIAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 557-568 doi: 10.1007/s11709-018-0497-z

Abstract: Also, to do optimization task, a fast genetic algorithm method, which has been recently introduced by

Keywords： optimization     scissor-like structures     deployable structures     genetic algorithm     ABAQUS    

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Research on Forecasting Model of Seismic Disaster Risk Based on GA-ANN

Liu Mingguang,Guo Zhanglin

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 83-86

Abstract: influencing seismic disasters risk at first, and then, the forecasting model of seismic risk based on the genetic

Keywords： seismic disaster     factors of risk     artificial neural networks     genetic algorithm     forecasting    

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Optimization of cold-end system of thermal power plants based on entropy generation minimization

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 956-972 doi: 10.1007/s11708-021-0785-5

Abstract: with single- and multi-pressure condensers are developed based on the entropy generation rate, and the geneticalgorithm (GA) is used to optimize multiple parameters.

Keywords： cold-end system     entropy generation minimization     optimization     economic analysis     genetic algorithm(GA)    

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The Optimization of the Monopulse Antenna Based on Genetic Algorithms

Wang Hongjian,Gao Benqing,Liu Ruixiang

Strategic Study of CAE 2002, Volume 4, Issue 5,   Pages 84-87

Abstract: difference patterns as well as the directivity of the monopulse antenna arrays are optimized based on geneticalgorithms (GA).However, using GA, the sum pattern, difference pattern and directivity can be optimized thoroughly for

Keywords： monopulse antenna array     genetic algorithm     pattern     directivity    

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Construction Project Investment Optimization Based on Genetic Algorithm

Chen Yaoming,Zhong Denghua,Fu Jinqiang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 68-71

Abstract: By applying network planning techniques and genetic algorithms to the model, the most satisfied decision

Keywords： project investment     multi-attribute utility function     genetic algorithms    

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Research and Application for Transportation Scheduling System About Material Quarry of Cement With Genetic

Dai Jianyong,Yang Shijiao,Gu Desheng

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 77-80

Abstract: ., with all arithmetic operators of genetic algorithms such as selection, crossover, mutation, interpotation

Keywords： genetic algorithms     transportation scheduling system     transportation cost    

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Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 62-70

Abstract: candidates are classified according to the indexes relevant to their expected utility, then Evolutionary AlgorithmsSome special considerations for Genetic Algorithms for ordering problem are also highlighted.

Keywords： evolutionary decision making     evolutionary robotics     genetic algorithms for ordering problem    

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Title Author Date Type Operation

The Application of FDTD and Micro Genetic Algorithms to the Planar Spiral Inductors

Wang Hongjian,Li Jing,Liu Heguang,Jiang Jingshan

Journal Article

Economic Parameter Optimization Research and Application for Practice in the Limestone Quarry Based on GeneticAlgorithms-adaptive Network-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances

Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH

Journal Article

Evacuation Reliability Calculation in Case of Building Fire Based on Genetic Algorithms

Wang Jinhui,Lu Shouxiang

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive

Journal Article

approach for improvement and optimization of karanja biodiesel using response surface methodology and genetic

Sunil DHINGRA, Gian BHUSHAN, Kashyap Kumar DUBEY

Journal Article

Practical optimization of deployable and scissor-like structures using a fast GA method

M. SALAR, M. R. GHASEMI, B. DIZANGIAN

Journal Article

Research on Forecasting Model of Seismic Disaster Risk Based on GA-ANN

Liu Mingguang,Guo Zhanglin

Journal Article

Optimization of cold-end system of thermal power plants based on entropy generation minimization

Journal Article

The Optimization of the Monopulse Antenna Based on Genetic Algorithms

Wang Hongjian,Gao Benqing,Liu Ruixiang

Journal Article

Construction Project Investment Optimization Based on Genetic Algorithm

Chen Yaoming,Zhong Denghua,Fu Jinqiang

Journal Article

Research and Application for Transportation Scheduling System About Material Quarry of Cement With Genetic

Dai Jianyong,Yang Shijiao,Gu Desheng

Journal Article

Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Journal Article