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Ball-disk rotor gyroscope adaptive quick-starttechnique Article

Xiao-wei LIU, Rui WENG, Hai LI, Hai-feng ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1430-1436 doi: 10.1631/FITEE.1600035

Abstract: Third, a piecewise closed-loop control algorithmis implemented to keep the angular acceleration of theThis control algorithm can avoid rotorstalling due to loss of steps.

Keywords： Rotor gyroscope Magnetically driven Quick start Piecewise algorithm Closed-loop control

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Numerical Simulation of Static Behavior of the Single Anchor Cable

Teng Bin1,Hao Chunling,Han Ling

Strategic Study of CAE 2005, Volume 7, Issue 1, Pages 21-26

Abstract:

The piecewise extrapolating method is applied to study the single anchor cable in this paper.

Keywords： piecewise extrapolating method single anchor cable displacement velocity of flow water depth

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Optimal operation of integrated energy system including power thermal and gas subsystems

Frontiers in Energy 2022, Volume 16, Issue 1, Pages 105-120 doi: 10.1007/s11708-022-0814-z

Abstract: In addition, the piecewise linearization method is applied to solve the quadratic Weymouth gas flow equation

Keywords： integrated energy system power-to-gas dist-flow piecewise linearization alternating direction method

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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.The algorithm optimization is more rapidly in precision after annealing algorithm integration with thegenetic algorithm.By examples of cement ratio works, compared with results of the simple algorithm, it is effectively.

Keywords： genetic algorithm simulated annealing algorithm genetic algorithm improvement

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: A multiobjective image recognition algorithm based on clustering Genetic Algorithm (GA), is proposedExperimental results demonstrated that the number of target images could be determined by the algorithm

Keywords： clustering different recognition algorithm Algorithm multiobjective

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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: 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

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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 algorithm

Keywords： design optimization genetic algorithm multiple populations neural network

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Solving Knapsack Problem by Hybrid Particle Swarm Optimization Algorithm

Gao Shang,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 11, Pages 94-98

Abstract: The particle swarm optimization algorithm combining with the idea of the genetic algorithm is recommendedEspecially the hybrid particle swarm optimization algorithm derived from across strategy A and mutationstrategy C is a simple yet effective algorithm and it has been applied successfully to investment problemIt can easily be modified for any combinatorial problem for which there has been no good specialized algorithm

Keywords： particle swarm algorithm knapsack problem genetic algorithm mutation

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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: platform, this paper presents an improved grey prediction proportional integral derivative (PID) control algorithmDifferent 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

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Predictor-corrector algorithm for solving quasi-separated-flow and transient distributed-parameter model

Ping ZHANG, Guoliang DING

Frontiers in Energy 2010, Volume 4, Issue 4, Pages 535-541 doi: 10.1007/s11708-010-0113-y

Abstract: Therefore, a predictor-corrector algorithm (PCA) is proposed to improve the convergence of the SS method

Keywords： algorithm convergence heat exchanger modeling transient

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Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4, Pages 468-471 doi: 10.1007/s11465-006-0061-8

Abstract: element) method rapidly and efficiently, a method combined with the FE method and gradient optimum algorithm

Keywords： satisfactory interpretation algorithm structural reliability stochastic FE

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Global Optimization of Nonlinear Blend-Scheduling Problems

Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec

Engineering 2017, Volume 3, Issue 2, Pages 188-201 doi: 10.1016/J.ENG.2017.02.005

Abstract: In this work, a global optimization algorithm is proposed to solve a previously published continuous-timeThe algorithm employs piecewise McCormick relaxation (PMCR) and normalized multiparametric disaggregationBy increasing the number of partitions and reducing the domain of the variables, the algorithm is ableThe algorithm is compared to two commercial global solvers and two heuristic methods by solving fourResults show that the proposed global optimization algorithm performs on par with commercial solvers

Keywords： Global optimization Nonlinear gasoline blending Continuous-time scheduling model Piecewise linear relaxations

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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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Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme

Frontiers of Structural and Civil Engineering Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete fly ash slay extreme gradient boosting technique squirrel search 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: gates and mutation probability are the two main issues that restrict the efficiency of quantum genetic algorithmThis paper presents a quantum real coding genetic algorithm（QRGA）.evolution and population diversity，the mutation probability is guided based on the step of frog leaping algorithmComparative experimental results show that the algorithm can avoid falling into part optimal solution

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