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Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember

Jing LI,Xiao-run LI,Li-jiao WANG,Liao-ying ZHAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 250-257 doi: 10.1631/FITEE.1500244

Abstract: The kernel new simplex growing algorithm (KNSGA), recently developed as a nonlinear alternative to thesimplex growing algorithm (SGA), has proven a promising endmember extraction technique.leads to inconsistency in final results; second, excessive computation is caused by the iterations of a simplexinto triangular matrices, in order to avoid directly computing the determinant tautologically in the simplexsignificantly reduces computational complexity, and runs faster than the original algorithm.

Keywords： Endmember extraction     Modified Cholesky factorization     Spatial pixel purity index (SPPI)     New simplexgrowing algorithm (NSGA)     Kernel new simplex growing algorithm (KNSGA)    

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design of anti-seismic engineering measures for intake tower based on non-dominated sorting genetic 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    

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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 employedbuilding 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 algorithm    

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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： processes (HMPs)     electrical discharge diamond grinding (EDDG)     artificial neural network (ANN)     genetic algorithm    

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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: In this paper, CNTFET technology and the technique are merged, and three new AC-based full adders (FAs

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

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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: However, the growing concern for environmental protection, economic efficiency, and sustainability ofThe 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 genetic algorithm(NSGA-II)    

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Removal of dyes from wastewater by growing fungal pellets in a semi-continuous mode

Tao Lu, Qilei Zhang, Shanjing Yao

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 338-345 doi: 10.1007/s11705-017-1644-0

Abstract: To increase the efficiency of dye removal from wastewater using mycelial pellets, a bubble column reactor with a simple structure was designed and efficiently used to remove dyes from solution containing dyes. The mycelial pellets were prepared by marine fungus ZJUBE-1. Eight dyes were tested as dye targets for the adsorption capacity of mycelial pellets and good removal results were obtained. Eriochrome black T was selected as a model dye for characterizing the adsorption processes in detail. The measurement results of Zeta potential and FT-IR analysis indicate that the electrostatic attraction may play a key role in the biosorption process. The bubble column reactor was utilized to study the batch dye-removal efficiency of mycelial pellets. A re-culture process between every two batches, which was under non-sterile condition, successfully enhanced the utilization of mycelium biomass. The dye removal rate is 96.4% after 12 h in the first batch and then decreases slowly in the following batches. This semi-continuous mode, which consists of commutative processes of dye-removal and re-culture, has some outstanding advantages, such as low power consumption, easy operation, high dye removal rate, and efficient biomass utilization.

Keywords： dye     mycelial pellets     marine fungus     bubble column reactor     semi-continuous biosorption    

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Extracts from cotton over the whole growing season induce

Ming LANG, Rui YU, Yongqing MA, Wei ZHANG, Christopher S. P. McErlean

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 228-236 doi: 10.15302/J-FASE-2017150

Abstract: Extracts of cotton across the whole growing season were able to induce germination but displayed significant

Keywords： agricultural systems     cotton     crop ecology     crop rotation systems     weed management    

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HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 380-390 doi: 10.1631/FITEE.1400421

Abstract: We propose a new constructive algorithm, called HAPE3D, which is a heuristic algorithm based on the principleHAPE3D can also be hybridized with a meta-heuristic algorithm such as simulated annealing.the good performance of HAPE3D and prove that it can be hybridized quite well with a meta-heuristic algorithm

Keywords： 3D packing problem     Layout design     Simulation     Optimization     Constructive algorithm     Meta-heuristics    

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A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 490-503 doi: 10.1007/s11708-014-0311-0

Abstract: is formulated into a bi-objective optimization problem, two objectives with two algorithms, firefly algorithmfor optimization the fuel cost, pollutant emissions and the real genetic algorithm for minimizationIn this paper the new approach (firefly algorithm-real genetic algorithm, FFA-RGA) has been applied to

Keywords： economic power dispatch (EPD)     firefly algorithm (FFA)     real genetic algorithm (RGA)     hybrid method    

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A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 3,   Pages 329-346 doi: 10.1007/s11709-022-0801-9

Abstract: This study presents a new systematic algorithm to optimize the durability of reinforced recycled aggregateThe proposed algorithm integrates machine learning with a new version of the firefly algorithm calledchaotic based firefly algorithm (CFA) to evolve a rational and efficient predictive model.k-fold cross validation algorithm is utilized to validate the hybrid algorithm.Results show that the developed CFA approach significantly outperforms the firefly algorithm on almost

Keywords： chloride penetrability     recycled aggregate concrete     machine learning     concrete components     durability    

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Heavy metal accumulation and phytostabilization potential of dominant plant species growing on manganese

YANG Shengxiang,LIANG Shichu,YI Langbo,XU Bibo,CAO Jianbing,GUO Yifeng,ZHOU Yu

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 394-404 doi: 10.1007/s11783-013-0602-4

Abstract: A field survey of terrestrial higher plants growing on Mn mine tailings at Huayuan, Hunan Province, China

Keywords： Mn mine tailings     heavy metal accumulation     phytostabilization    

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Growing collaborations between Chinese and UK young scholars on chemical science and technology

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 1,   Pages 1-3 doi: 10.1007/s11705-020-2027-5

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A New Modified LK Algorithm Solving the Assymetric Order-picking Optimization

Tian Wei,Tian Guohui,Zhang Pan,Li Xiaolei

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 47-52

Abstract: Then a new modified Lin-Kernighan (LK) algorithm is studied and applied it to the order-picking processesThe results of simulation indicate that the algorithm can reduce the computational complexity of time

Keywords： automated warehouse     fixed shelf     LK algorithm     order-picking optimization    

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Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 131-148 doi: 10.1007/s11708-017-0446-x

Abstract: Photovoltaic (PV) generation is growing increasingly fast as a renewable energy source.

Keywords： photovoltaic     wind turbine     hybrid system     fuzzy logic controller     genetic algorithm     RBFNSM    

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Title Author Date Type Operation

Fast implementation of kernel simplex volume analysis based on modified Cholesky factorization for endmember

Jing LI,Xiao-run LI,Li-jiao WANG,Liao-ying ZHAO

Journal Article

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

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

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

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

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

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Journal Article

Removal of dyes from wastewater by growing fungal pellets in a semi-continuous mode

Tao Lu, Qilei Zhang, Shanjing Yao

Journal Article

Extracts from cotton over the whole growing season induce

Ming LANG, Rui YU, Yongqing MA, Wei ZHANG, Christopher S. P. McErlean

Journal Article

HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Journal Article

A new technique for solving the multi-objective optimization problem using hybrid approach

Mimoun YOUNES,Khodja FOUAD,Belabbes BAGDAD

Journal Article

A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

Wafaa Mohamed SHABAN; Khalid ELBAZ; Mohamed AMIN; Ayat gamal ASHOUR

Journal Article

Heavy metal accumulation and phytostabilization potential of dominant plant species growing on manganese

YANG Shengxiang,LIANG Shichu,YI Langbo,XU Bibo,CAO Jianbing,GUO Yifeng,ZHOU Yu

Journal Article

Growing collaborations between Chinese and UK young scholars on chemical science and technology

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

Journal Article

A New Modified LK Algorithm Solving the Assymetric Order-picking Optimization

Tian Wei,Tian Guohui,Zhang Pan,Li Xiaolei

Journal Article

Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and

Alireza REZVANI,Ali ESMAEILY,Hasan ETAATI,Mohammad MOHAMMADINODOUSHAN

Journal Article