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Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 318-322 doi: 10.1007/s11709-008-0055-1

Abstract: Based on a set of constraints of the Technical Specification for Light-weighted Steel Portal Frames ofChina, a genetic algorithm (GA) optimization program for portal frames, written in MATLAB code, wasFinally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal

Keywords： satisfactory     genetic-algorithm-based     Technical Specification     algorithm     efficiency    

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A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 139-151 doi: 10.1007/s11708-017-0484-4

Abstract: In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic(PV)-wind-battery hybrid system using a novel energy filter algorithm.A novel energy filter algorithm for smoothing the power injected into the grid has been proposed.The results of the case study for different cases, with and without employing the energy filter algorithm

Keywords： PV-wind-battery hybrid system     size optimization     genetic algorithm    

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s geneticof more accurate design variables associating with a new design strategy, design codes of which are based

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sortinggenetic algorithm-II

Frontiers of Structural and Civil Engineering   Pages 1428-1441 doi: 10.1007/s11709-023-0998-2

Abstract: characteristics and dynamic response were first analyzed using the mode decomposition response spectrum method basedThe non-dominated sorting genetic algorithm-II (NSGA-II) was adopted to optimize the anti-seismic scheme

Keywords： intake tower     NSGA-II     mode decomposition response spectrum method     anti-seismic engineering measures     optimization design     variable project cost    

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Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 459-463 doi: 10.1007/s11708-014-0335-5

Abstract: turbine cold-end system, was performed utilizing the back propagation (BP) neural network method with geneticalgorithm (GA) optimization analysis.

Keywords： optimization     turbine     cold-end system     BP neural network     genetic algorithm    

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Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 108-112

Abstract: quantum gates and mutation probability are the two main issues that restrict the efficiency of quantum geneticalgorithm.This paper presents a quantum real coding genetic algorithm（QRGA）.order to ensure the direction of evolution and population diversity，the mutation probability is guided basedon the step of frog leaping algorithm which quantified by fuzzy logic.

Keywords： quantum encoding     quantum genetic algorithm     frog leaping algorithm     swarm intelligence    

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Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract:

A method that uses annealing algorithm to improve the inefficient localsearch of genetic algorithm is proposed.That method bases on analysis of the advantages and disadvantages of the annealing and the genetic algorithmThe algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.

Keywords： genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

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Research on Decision Approach of Portfolios Investment Based on Accelerating Genetic Algorithm

Wang Shuo,Tang Xiaowo,Zeng Yong

Strategic Study of CAE 2002, Volume 4, Issue 9,   Pages 59-62

Abstract:

It can win through traditional genetic algorithm's shortcomins by applying accelerating geneticalgorithm in solving combination forecasting problems.

Keywords： accelerating genetic algorithm     portfolio     investment decision    

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Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 11-11 doi: 10.1007/s11465-021-0667-x

Abstract: Based on this, the parametric finite element model of the pipeline system is established.The genetic algorithm and the golden section algorithm are selected to solve the optimization model,Based on the analysis of the influence of straight-line segment length on the vibration characteristicsIn addition, the optimization efficiency of the golden section algorithm is remarkably higher than thatof the genetic algorithm for length optimization of a single straight-line segment.

Keywords： length adjustment     spatial pipeline     aero-engine     vibration avoidance optimization     genetic algorithm     golden section algorithm    

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Study on area forecast of coal and gas outburst based on coupling of neural network and genetic algorithm

Shi Shiliang,Wu Aiyou

Strategic Study of CAE 2009, Volume 11, Issue 9,   Pages 91-96

Abstract: value of the forecast indexes,ade the area forecast model of the coal and gas outburst was established basedon coupling of the neural network and the genetic algorithm according to the natural conditions andthe validity of the model, and laid the foundation of the area forecast of the coal and gas outburst basedon coupling of the neural network and genetic algorithm.

Keywords： coal and gas outburst     area forecast     neural network     genetic algorithm     isoneph of outburst    

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Efficiency Optimization of Variable Frequency Variable Speed Water-supply Pumping Stations Based on GeneticAlgorithm

Liao Li,Lin Jiaheng,Zhang Chenghui

Strategic Study of CAE 2002, Volume 4, Issue 9,   Pages 54-58

Abstract: This paper presents an optimal scheduling model of water-supply pumping stations based on approximationCorresponding to the model, solutions based on genetic algorithm are introduced.

Keywords： water-supply pumping station     approximation of numerical value     optimization     genetic algorithm    

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Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 426-446 doi: 10.1007/s42524-020-0100-x

Abstract: combinations of the net present value (NPV) as a financial performance measure with one of the time-basedWe developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution method

Keywords： backward–forward scheduling     hybrid bi-objective genetic algorithm     injection procedure     maximum cash balance    

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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving optimization problemsPassive Congregation (PSOPC), Particle Swarm Ant Colony Optimization (HPSACO), Imperialist Competitive AlgorithmIn addition, five numerical examples are optimized by AGA, Genetic Algorithm (GA), and optimization modules

Keywords： optimization     steel frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceability    

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Improved genetic algorithm and its application to determination of critical slip surface with arbitrary

LI Liang, CHI Shichun, LIN Gao, CHENG Yungming

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2,   Pages 145-150 doi: 10.1007/s11709-008-0016-8

Abstract: order to overcome the problem of being trapped by the local minima encountered in applying the simple geneticalgorithm (GA) to search the critical slip surface of the slope, an improved procedure based on theharmony search algorithm is proposed.

Keywords： information     algorithm     Comparison     generation     feasible    

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Application of micro-genetic algorithm for calibration of kinetic parameters in HCCI engine combustion

HUANG Haozhong, SU Wanhua

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 86-92 doi: 10.1007/s11708-008-0003-8

Abstract: The micro-genetic algorithm (?The seven kinetic parameters of the calibrated model are determined using a combination of the Micro-GeneticAlgorithm and the SENKIN program of CHEMKIN chemical kinetics software package.

Keywords： homogeneous     different     combustion     autoignition     compression    

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Title Author Date Type Operation

Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Journal Article

A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm

Aeidapu MAHESH, Kanwarjit Singh SANDHU

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sortinggenetic algorithm-II

Journal Article

Optimization of turbine cold-end system based on BP neural network and genetic algorithm

Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG

Journal Article

Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Research on Decision Approach of Portfolios Investment Based on Accelerating Genetic Algorithm

Wang Shuo,Tang Xiaowo,Zeng Yong

Journal Article

Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Journal Article

Study on area forecast of coal and gas outburst based on coupling of neural network and genetic algorithm

Shi Shiliang,Wu Aiyou

Journal Article

Efficiency Optimization of Variable Frequency Variable Speed Water-supply Pumping Stations Based on GeneticAlgorithm

Liao Li,Lin Jiaheng,Zhang Chenghui

Journal Article

Hybrid genetic algorithm for bi-objective resource-constrained project scheduling

Fikri KUCUKSAYACIGIL, Gündüz ULUSOY

Journal Article

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

Improved genetic algorithm and its application to determination of critical slip surface with arbitrary

LI Liang, CHI Shichun, LIN Gao, CHENG Yungming

Journal Article

Application of micro-genetic algorithm for calibration of kinetic parameters in HCCI engine combustion

HUANG Haozhong, SU Wanhua

Journal Article