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《结构与土木工程前沿(英文)》 页码 812-826 doi: 10.1007/s11709-023-0940-7
关键词: falling weight deflectometer modulus of subgrade reaction elastic modulus metaheuristic algorithms
Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology
Tugrul TALASLIOGLU
《结构与土木工程前沿(英文)》 2019年 第13卷 第4期 页码 863-889 doi: 10.1007/s11709-019-0523-9
关键词: design optimization genetic algorithm multiple populations neural network
王英
《中国工程科学》 2008年 第10卷 第7期 页码 57-59
分析了遗传算法及退火算法的优缺点,提出用退火算法改进遗传算法局部的最优值搜索效率低问题。退火算法与遗传算法融合后,使算法在寻优结果上更加迅速精确。通过水泥的配比工程实例,与单纯的遗传算法的结果进行对比,说明该方法是有效的。
Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing
Reza TEIMOURI, Hamed SOHRABPOOR
《机械工程前沿(英文)》 2013年 第8卷 第4期 页码 429-442 doi: 10.1007/s11465-013-0277-3
Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.
关键词: electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization cuckoo optimization algorithm (COA)
Optimal design of steel portal frames based on genetic algorithms
CHEN Yue, HU Kai
《结构与土木工程前沿(英文)》 2008年 第2卷 第4期 页码 318-322 doi: 10.1007/s11709-008-0055-1
关键词: satisfactory genetic-algorithm-based Technical Specification algorithm efficiency
Aeidapu MAHESH, Kanwarjit Singh SANDHU
《能源前沿(英文)》 2020年 第14卷 第1期 页码 139-151 doi: 10.1007/s11708-017-0484-4
关键词: PV-wind-battery hybrid system size optimization genetic algorithm
Hybrid genetic algorithm for bi-objective resource-constrained project scheduling
Fikri KUCUKSAYACIGIL, Gündüz ULUSOY
《工程管理前沿(英文)》 2020年 第7卷 第3期 页码 426-446 doi: 10.1007/s42524-020-0100-x
关键词: backward–forward scheduling hybrid bi-objective genetic algorithm injection procedure maximum cash balance multi-objective multi-project multi-mode resource-constrained project scheduling problem
Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK
《结构与土木工程前沿(英文)》 2020年 第14卷 第5期 页码 1110-1130 doi: 10.1007/s11709-020-0643-2
关键词: optimization steel frame Asymmetric Genetic Algorithm constraints of ultimate load constraints of serviceability limits penalty function
LI Liang, CHI Shichun, LIN Gao, CHENG Yungming
《结构与土木工程前沿(英文)》 2008年 第2卷 第2期 页码 145-150 doi: 10.1007/s11709-008-0016-8
HUANG Haozhong, SU Wanhua
《能源前沿(英文)》 2008年 第2卷 第1期 页码 86-92 doi: 10.1007/s11708-008-0003-8
关键词: homogeneous different combustion autoignition compression
Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances
Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH
《能源前沿(英文)》 2015年 第9卷 第3期 页码 322-334 doi: 10.1007/s11708-015-0362-x
关键词: photovoltaic system maximum power point (MPP) adaptive neuro-fuzzy inference system (ANFIS) genetic algorithm (GA)
Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization
Mehdi BABAEI,Ebrahim SANAEI
《结构与土木工程前沿(英文)》 2016年 第10卷 第4期 页码 472-480 doi: 10.1007/s11709-016-0368-4
关键词: multi-objective hybrid algorithm ant colony genetic algorithm displacement weighted sum method steel braced frames
Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level
Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG
《机械工程前沿(英文)》 2019年 第14卷 第4期 页码 474-488 doi: 10.1007/s11465-019-0560-z
关键词: remanufacturing scheduling adaptive genetic algorithm energy efficiency sustainable remanufacturing hormone modulation mechanism
Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey
《机械工程前沿(英文)》 2014年 第9卷 第1期 页码 81-94 doi: 10.1007/s11465-014-0287-9
The present work studies and identifies the different variables that affect the output parameters involved in a single cylinder direct injection compression ignition (CI) engine using jatropha biodiesel. Response surface methodology based on Central composite design (CCD) is used to design the experiments. Mathematical models are developed for combustion parameters (Brake specific fuel consumption (BSFC) and peak cylinder pressure (Pmax)), performance parameter brake thermal efficiency (BTE) and emission parameters (CO, NOx, unburnt HC and smoke) using regression techniques. These regression equations are further utilized for simultaneous optimization of combustion (BSFC, Pmax), performance (BTE) and emission (CO, NOx, HC, smoke) parameters. As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimization problem is formulated. Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution. Experiments are performed at suitable optimal solutions for predicting the combustion, performance and emission parameters to check the adequacy of the proposed model. The Pareto optimal sets of solution can be used as guidelines for the end users to select optimal combination of engine output and emission parameters depending upon their own requirements.
关键词: jatropha biodiesel fuel properties response surface methodology multi-objective optimization non-dominated sorting genetic algorithm-II
许波,彭志平,余建平,柯文德
《中国工程科学》 2014年 第16卷 第3期 页码 108-112
量子门旋转相位、变异概率大小的确定,是目前制约量子遗传算法效率的两个主要问题。本文提出一种基于蛙跳思想的量子编码遗传算法(QRGA),该算法采用自适应的方式对量子旋转门旋转角进行调整,并基于模糊逻辑将蛙跳的步长进行量化以指导变异概率调整,保证进化的方向性和提高算法效率,对比实验结果表明算法可以避免陷入局部最优解,并能快速收敛到全局最优解,在运行时间和解的性能上都取得了较好的效果。
标题 作者 时间 类型 操作
Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive
期刊论文
Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology
Tugrul TALASLIOGLU
期刊论文
Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing
Reza TEIMOURI, Hamed SOHRABPOOR
期刊论文
A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system usingenergy filter algorithm
Aeidapu MAHESH, Kanwarjit Singh SANDHU
期刊论文
Hybrid genetic algorithm for bi-objective resource-constrained project scheduling
Fikri KUCUKSAYACIGIL, Gündüz ULUSOY
期刊论文
Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and
Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK
期刊论文
Improved genetic algorithm and its application to determination of critical slip surface with arbitrary
LI Liang, CHI Shichun, LIN Gao, CHENG Yungming
期刊论文
Application of micro-genetic algorithm for calibration of kinetic parameters in HCCI engine combustion
HUANG Haozhong, SU Wanhua
期刊论文
Enhancement of grid-connected photovoltaic system using ANFIS-GA under different circumstances
Saeed VAFAEI,Alireza REZVANI,Majid GANDOMKAR,Maziar IZADBAKHSH
期刊论文
Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization
Mehdi BABAEI,Ebrahim SANAEI
期刊论文
Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level
Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG
期刊论文
combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominated sorting geneticalgorithm-II
Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey
期刊论文