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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: performance and reduce the weight of the planet carrier in wind turbine gearbox, a multi-objective optimizationminimum mass of the studied part, is proposed by combining the response surface method and genetic algorithmsAnd 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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Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract:

Multi-objective optimization (MOO) and decision-making (DM) has become an important research areaThe researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonThis paper presents an introduction to the history and classification of multi-objective optimizationand decision-making techniques, analyzes both the Pareto-based and non-Pareto-based evolutionary algorithms

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: System reliability optimization problems have been widely discussed to maximize system reliability withThe rules for simple optimization problems are summarized to enhance system reliability by using rankingThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtainFurthermore, a general framework driven by IM is developed to solve optimization problems.Finally, some challenges in system reliability optimization that need to be solved in the future are

Keywords： importance measure     system performance     reliability optimization     optimization rules     optimization algorithms    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: This paper deals with the inverse analysis of the crack detection problems using triple hybrid algorithmsbased on Particle Swarm Optimization (PSO); these hybrids are Particle Swarm Optimization-Genetic Algorithm-FireflyAlgorithm (PSO-GA-FA), Particle Swarm Optimization-Grey Wolf Optimization-Firefly Algorithm (PSO-GWO-FA), and Particle Swarm Optimization-Genetic Algorithm-Grey Wolf Optimization (PSO-GA-GWO).The results show that among the proposed triple hybrid algorithms, the PSO-GA-FA and PSO-GWO-FA algorithms

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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

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

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationThe metaheuristic algorithms are encoded in MATLAB interacting with SAP2000 for gathering structuralThe optimum spatial steel dome designs achieved by proposed WS, GW, and BSO algorithms are compared withand 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    

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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 algorithmsto solve structural optimization problems.The algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithmResults show that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structuraloptimization problems and achieve the same optimal design.

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: group method of data handling (GMDH) network as a surrogate model during damage extent estimation by optimizationalgorithm; in this part of methodology, the performance of the three popular optimization algorithmsincluding particle swarm optimization (PSO), bat algorithm (BA), and colliding bodies optimization (

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimizationalgorithms

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1267-1286 doi: 10.1007/s11709-022-0842-0

Abstract: Gradient Boosting (GB) technique was developed and evaluated in combination with three different optimizationalgorithms, namely Particle Swarm Optimization (PSO), Random Annealing Optimization (RA), and SimulatedAnnealing Optimization (SA).

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

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Estimation of optimum design of structural systems via machine learning

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1441-1452 doi: 10.1007/s11709-021-0774-0

Abstract: Two different optimization operations were carried out: One used the harmony search (HS) algorithm, combining

Keywords： optimization     metaheuristic algorithms     harmony search     structural designs     machine learning     artificial    

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On the role of optimization algorithms in ownership-preserving data mining None

Muhammad KAMRAN, Ehsan Ullah MUNIR

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 151-164 doi: 10.1631/FITEE.1601479

Abstract: Optimization techniques, particularly bioinspired techniques, have become a preferred choice for solvingIn this paper, we investigate the usability of various optimization schemes for identifying the maximumThe performance of optimization schemes is evaluated using different metrics.

Keywords： Information security     Optimization     Digital rights     Watermarking    

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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: Simplified analytical algorithms for four stress stages are established to describe the bearing behaviorsUsing the proposed simplified analytical algorithms, a parametric investigation is conducted to discuss

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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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:

In this paper, a time-cost-quality trade-off optimization model is set up by using multi-objectiveoptimization theory and multi-attribute utility function theory.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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Technical and Economic Parameter Optimization Research and Application for Practice in the LimestoneQuarry Based on Genetic Algorithms-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: adaptive network-based fuzzy inference system, solved solution of the system model with parallel genetic algorithms

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

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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: patterns as well as the directivity of the monopulse antenna arrays are optimized based on genetic algorithms

Keywords： monopulse antenna array     genetic algorithm     pattern     directivity    

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Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 1-31 doi: 10.1007/s11465-020-0602-6

Abstract: Theoretical background and recent advances of fringe analysis algorithms, including coherence peak sensing

Keywords： surface topography     measurement     optical interferometry     coherence envelope     phase-shifting algorithm    

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Title Author Date Type Operation

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

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

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

Journal Article

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

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimizationalgorithms

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Journal Article

Estimation of optimum design of structural systems via machine learning

Journal Article

On the role of optimization algorithms in ownership-preserving data mining

Muhammad KAMRAN, Ehsan Ullah MUNIR

Journal Article

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

Construction Project Investment Optimization Based on Genetic Algorithm

Chen Yaoming,Zhong Denghua,Fu Jinqiang

Journal Article

Technical and Economic Parameter Optimization Research and Application for Practice in the LimestoneQuarry Based on Genetic Algorithms-adaptive Network-based Fuzzy Inference System

Yang Shijiao,Dai Jianyong,Zeng Sheng

Journal Article

The Optimization of the Monopulse Antenna Based on Genetic Algorithms

Wang Hongjian,Gao Benqing,Liu Ruixiang

Journal Article

Development of surface reconstruction algorithms for optical interferometric measurement

Dongxu WU, Fengzhou FANG

Journal Article