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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
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
《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
A new technique for solving the multi-objective optimization problem using hybrid approach
Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD
《能源前沿(英文)》 2014年 第8卷 第4期 页码 490-503 doi: 10.1007/s11708-014-0311-0
关键词: economic power dispatch (EPD) firefly algorithm (FFA) real genetic algorithm (RGA) hybrid method
A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects
T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh
《能源前沿(英文)》 2012年 第6卷 第2期 页码 155-163 doi: 10.1007/s11708-012-0189-7
关键词: bacterial foraging algorithm (BFA) economic dispatch (ED) particle swarm optimization (PSO) valve-point effects
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
Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and
Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN
《能源前沿(英文)》 2019年 第13卷 第1期 页码 131-148 doi: 10.1007/s11708-017-0446-x
关键词: photovoltaic wind turbine hybrid system fuzzy logic controller genetic algorithm RBFNSM
Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI
《结构与土木工程前沿(英文)》 2022年 第16卷 第8期 页码 976-989 doi: 10.1007/s11709-022-0840-2
关键词: damage prediction ANN BOA FEM experimental modal analysis
高尚,杨静宇
《中国工程科学》 2006年 第8卷 第11期 页码 94-98
经典的粒子群是一个有效的寻找连续函数极值的方法,结合遗传算法的思想提出的混合粒子群算法来解决背包问题,经过比较测试,6种混合粒子群算法的效果都比较好,特别交叉策略A和变异策略C的混合粒子群算法是最好的且简单有效的算法,并成功地运用在投资问题中。对于目前还没有好的解法的组合优化问题,很容易地修改此算法就可解决。
Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm
Trina SOM, Niladri CHAKRABORTY
《能源前沿(英文)》 2012年 第6卷 第1期 页码 12-20 doi: 10.1007/s11708-012-0172-3
关键词: distributed energy resources (DERs) microgrid tuned genetic algorithm (TGA)
A novel hybrid model for water quality prediction based on VMD and IGOA optimized for LSTM
《环境科学与工程前沿(英文)》 2023年 第17卷 第7期 doi: 10.1007/s11783-023-1688-y
● A novel VMD-IGOA-LSTM model has proposed for the prediction of water quality.
关键词: Water quality prediction Grasshopper optimization algorithm Variational mode decomposition Long short-term memory neural network
Xuewei QI,Ke LI,Walter D. POTTER
《环境科学与工程前沿(英文)》 2016年 第10卷 第2期 页码 341-351 doi: 10.1007/s11783-015-0776-z
关键词: particle swarm optimization (PSO) diversity control estimation of distribution algorithm (EDA) water distribution network (WDN) premature convergence hybrid strategy
Hybrid optimization algorithm for modeling and management of micro grid connected system
Kallol ROY,Kamal Krishna MANDAL
《能源前沿(英文)》 2014年 第8卷 第3期 页码 305-314 doi: 10.1007/s11708-014-0308-8
关键词: micro grid (MG) multi-objective function artificial bee colony (ABC) fuel cost operation and maintenance cost
Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm
Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU
《能源前沿(英文)》 2018年 第12卷 第4期 页码 518-528 doi: 10.1007/s11708-018-0594-7
In this paper, a multi-objective optimization model is established for the investment plan and operation management of a hybrid distributed energy system. Considering both economic and environmental benefits, the overall annual cost and emissions of CO2 equivalents are selected as the objective functions to be minimized. In addition, relevant constraints are included to guarantee that the optimized system is reliable to satisfy the energy demands. To solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employed to derive a set of non-dominated Pareto solutions. The diversity of Pareto solutions is conserved by a crowding distance operator, and the best compromised Pareto solution is determined based on the fuzzy set theory. As an illustrative example, a hotel building is selected for study to verify the effectiveness of the optimization model and the solving algorithm. The results obtained from the numerical study indicate that the NSGA-II results in more diversified Pareto solutions and the fuzzy set theory picks out a better combination of device capacities with reasonable operating strategies.
关键词: multi-objective optimization hybrid distributed energy system non-dominated sorting generic algorithm II fuzzy set theory Pareto optimal solution
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
《机械工程前沿(英文)》 2013年 第8卷 第3期 页码 319-332 doi: 10.1007/s11465-013-0269-3
The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization has always been a challenge to the researchers. The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machining processes. In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine. During experimentation, the wheel speed, pulse current, pulse on-time and duty factor are taken as input parameters while output parameters are material removal rate (MRR) and average surface roughness (Ra). The results have shown that the developed ANN model is capable to predict the output responses within the acceptable limit for a given set of input parameters. It has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting appropriate value of outputs with multiple objectives.
关键词: hybrid machining processes (HMPs) electrical discharge diamond grinding (EDDG) artificial neural network (ANN) genetic algorithm modeling and optimization
标题 作者 时间 类型 操作
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
Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization
Mehdi BABAEI,Ebrahim SANAEI
期刊论文
Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive
期刊论文
A new technique for solving the multi-objective optimization problem using hybrid approach
Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD
期刊论文
A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects
T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh
期刊论文
Hybrid genetic algorithm for bi-objective resource-constrained project scheduling
Fikri KUCUKSAYACIGIL, Gündüz ULUSOY
期刊论文
Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and
Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN
期刊论文
Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial
Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI
期刊论文
Economic analysis of a hybrid solar-fuel cell power delivery system using tuned genetic algorithm
Trina SOM, Niladri CHAKRABORTY
期刊论文
Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network
Xuewei QI,Ke LI,Walter D. POTTER
期刊论文
Hybrid optimization algorithm for modeling and management of micro grid connected system
Kallol ROY,Kamal Krishna MANDAL
期刊论文
Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm
Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU
期刊论文