Resource Type

Journal Article 753

Year

2023 59

2022 47

2021 57

2020 51

2019 42

2018 44

2017 52

2016 32

2015 51

2014 40

2013 22

2012 21

2011 16

2010 26

2009 19

2008 35

2007 40

2006 27

2005 12

2004 11

open ︾

Keywords

genetic algorithm 33

algorithm 14

optimization 14

different 7

Genetic algorithm 4

adsorption 4

genetic algorithms 4

genetic modification 4

multi-objective optimization 4

neural network 4

COVID-19 3

artificial neural network 3

meta-heuristic algorithm 3

non-linear 3

Adsorption 2

Algorithm 2

Anomaly detection 2

BP algorithm 2

BP neural network 2

open ︾

Search scope:

排序： Display mode:

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: The 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    

HTML PDF Collect

An integrated model for structure optimization and technology screening of urban wastewater systems

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1036-1048 doi: 10.1007/s11783-015-0792-z

Abstract: The non-dominated sorting genetic algorithm (NSGA-II) was used to generate a range of system design possibilities

Keywords： urban wastewater system     integrated modeling     multi-objective optimization     non-dominated sorting geneticalgorithm (NSGA-II)    

HTML PDF Collect

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: To solve the optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employedto derive a set of non-dominated Pareto solutions.building is selected for study to verify the effectiveness of the optimization model and the solving algorithmThe results obtained from the numerical study indicate that the NSGA-II results in more diversified Pareto

Keywords： multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithmII     fuzzy set theory     Pareto optimal solution    

HTML PDF Collect

optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominatedsorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: Non-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominatedsorting genetic algorithm-II    

HTML PDF Collect

Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least significant bits Research Article

Ayoub SADEGHI, Razieh GHASEMI, Hossein GHASEMIAN, Nabiollah SHIRI,H.ghasemian@sutech.ac.ir

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 4,   Pages 599-616 doi: 10.1631/FITEE.2200077

Abstract: Carbon nanotube field-effect transistors (CNTFETs) are reliable alternatives for conventional transistors, especially for use in (AC) based error-resilient digital circuits. In this paper, CNTFET technology and the technique are merged, and three new AC-based full adders (FAs) are presented with 6, 6, and 8 transistors, separately. The is used to attain the optimal performance of the proposed cells by considering the number of tubes and chirality vectors as its variables. The results confirm the circuits’ improvement by about 50% in terms of power-delay-product (PDP) at the cost of area occupation. The Monte Carlo method (MCM) and 32-nm CNTFET technology are used to evaluate the lithographic variations and the stability of the proposed circuits during the fabrication process, in which the higher stability of the proposed circuits compared to those in the literature is observed. The dynamic threshold (DT) technique in the transistors of the proposed circuits amends the possible voltage drop at the outputs. Circuitry performance and error metrics of the proposed circuits nominate them for the least significant bit (LSB) parts of more complex arithmetic circuits such as multipliers.

Keywords： Carbon nanotube field-effect transistor (CNTFET)     Optimization algorithm     Nondominated sorting basedgenetic algorithm II (NSGA-II)     Gate diffusion input (GDI)     Approximate computing    

HTML PDF Collect

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 319-332 doi: 10.1007/s11465-013-0269-3

Abstract: 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 machiningElectrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-IIIn this study, ANN has been used for modeling while NSGA-II is used to optimize the control parametersIt has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting

Keywords： machining processes (HMPs)     electrical discharge diamond grinding (EDDG)     artificial neural network (ANN)     geneticalgorithm     modeling and optimization    

HTML PDF Collect

Dynamic value iteration networks for the planning of rapidly changing UAV swarms Research Articles

Wei Li, Bowei Yang, Guanghua Song, Xiaohong Jiang,li2ui2@zju.edu.cn,boweiy@zju.edu.cn,ghsong@zju.edu.cn,jiangxh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.1900712

Abstract: We then evaluate the performance of the DVIN model and compare it with the non-dominated sorting geneticalgorithm II and the exhaustive method.

Keywords： 动态值迭代网络；场景式Q学习；无人机自组网；NSGA-II；路径规划    

HTML PDF Collect

SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization: a case study in Tianjin

Te Xu, Haifeng Jia, Zheng Wang, Xuhui Mao, Changqing Xu

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 4, doi: 10.1007/s11783-017-0934-6

Abstract: Non-dominated sorting genetic algorithm (NSGA-II) was successfully coupled to SWMM through Python to

Keywords： Stormwater management     LID-BMPs planning     SWMM     LID-BMP chain     NSGA-II     Scenario analysis    

HTML PDF Collect

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 genetic

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

HTML PDF Collect

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    

HTML PDF Collect

Outcomes of haploidentical bone marrow transplantation in patients with severe aplastic anemia-II thatprogressed from non-severe acquired aplastic anemia

Frontiers of Medicine 2021, Volume 15, Issue 5,   Pages 718-727 doi: 10.1007/s11684-020-0807-4

Abstract: Severe aplastic anemia II (SAA-II) progresses from non-severe aplastic anemia (NSAA).This study aimed to investigate the efficacy of haplo-BMT for patients with SAA-II.Four patients experienced grade II–IV aGvHD, including two with grade III–IV aGvHD.promising outcomes may support haplo-BMT as an alternative treatment strategy for patients with SAA-II

Keywords： severe aplastic anemia     non-severe acquired aplastic anemia     haploidentical bone marrow transplantation    

HTML PDF Collect

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: set of constraints of the Technical Specification for Light-weighted Steel Portal Frames of China, a geneticalgorithm (GA) optimization program for portal frames, written in MATLAB code, was proposed in thisFinally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal

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

HTML PDF Collect

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    

HTML PDF Collect

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: We developed a hybrid non-dominated sorting genetic algorithm II (hybrid-NSGA-II) as a solution methodby introducing a backward–forward pass (BFP) procedure and an injection procedure into NSGA-II.The injection procedure generated a significantly high number of non-dominated solutions, thereby resultingResults showed that hybrid-NSGA-II surpassed NSGA-II in terms of the performance metrics hypervolume,maximum spread, and the number of non-dominated solutions.

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

HTML PDF Collect

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    

HTML PDF Collect

Title Author Date Type Operation

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

Journal Article

An integrated model for structure optimization and technology screening of urban wastewater systems

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

optimization of combustion, performance and emission parameters in a jatropha biodiesel engine using Non-dominatedsorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article

Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least significant bits

Ayoub SADEGHI, Razieh GHASEMI, Hossein GHASEMIAN, Nabiollah SHIRI,H.ghasemian@sutech.ac.ir

Journal Article

Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on ANN-NSGA-II

Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH

Journal Article

Dynamic value iteration networks for the planning of rapidly changing UAV swarms

Wei Li, Bowei Yang, Guanghua Song, Xiaohong Jiang,li2ui2@zju.edu.cn,boweiy@zju.edu.cn,ghsong@zju.edu.cn,jiangxh@zju.edu.cn

Journal Article

SWMM-based methodology for block-scale LID-BMPs planning based on site-scale multi-objective optimization: a case study in Tianjin

Te Xu, Haifeng Jia, Zheng Wang, Xuhui Mao, Changqing Xu

Journal Article

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

Tugrul TALASLIOGLU

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Outcomes of haploidentical bone marrow transplantation in patients with severe aplastic anemia-II thatprogressed from non-severe acquired aplastic anemia

Journal Article

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

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