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

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.Theoretical analysis and experiments on both simulated and real spectral data demonstrate that the proposed algorithmsignificantly 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)    

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    

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    

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    

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    

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 genetic algorithm(NSGA-II)    

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    

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    

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    

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    

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. Nevertheless, the drawback of the PV system is intermittent because of depending on weather conditions. Therefore, the wind power can be considered to assist for a stable and reliable output from the PV generation system for loads and improve the dynamic performance of the whole generation system in the grid connected mode. In this paper, a novel topology of an intelligent hybrid generation system with PV and wind turbine is presented. In order to capture the maximum power, a hybrid fuzzy-neural maximum power point tracking (MPPT) method is applied in the PV system. The average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional methods. The pitch angle of the wind turbine is controlled by radial basis function network-sliding mode (RBFNSM). Different conditions are represented in simulation results that compare the real power values with those of the presented methods. The obtained results verify the effectiveness and superiority of the proposed method which has the advantages of robustness, fast response and good performance. Detailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have been proposed using Matlab/Simulink.

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

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 54-57

Abstract: The simulation results illuminate that the new method can run fast, at the same time it can improve the

Keywords: fractal coding     image compression     variance    

A new focused crawler using an improved tabu search algorithm incorporating ontology and host information Research Article

Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG,1007427607@qq.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 859-875 doi: 10.1631/FITEE.2200315

Abstract: avoid crawling visited hyperlinks and expand the search range, we present an improved tabu search (ITS) algorithm

Keywords: Focused crawler     Tabu search algorithm     Ontology     Host information     Priority evaluation    

A New Real-time Detecting Method for Harmonic Current Based on Iterative Algorithm in Active Power Filter

Li Zicheng,Sun Yukun

Strategic Study of CAE 2006, Volume 8, Issue 1,   Pages 46-50

Abstract: Based on the foundation of load current analysis, a new real-time detecting method for harmonic currentbased on iterative algorithm in active power filter is proposed, It has the characteristics of very

Keywords: active power filter     harmonics current     active current     reactive current    

A new score normalizaion algorithm based on EMD-Tnorm for speaker verification

Li Yanping,Ding Hui,Tang Zhenmin

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 95-100

Abstract:

In this paper, the verification system from two aspects was improved. On one hand, we extended MixMax model that the EMD (earth mover's distance) can be applied, which can remove the disturbance of noise; on the other hand, we improved the Tnorm score normalization method based on the EMD. Experimental results show that this method can compensate the speaker-dependent and test-dependent variability, also show a stable performance improvement by decreasing the FA and FR.

Keywords: speaker verification     robustness     earth mover’s distance     MixMax model    

Title Author Date Type Operation

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

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

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

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

A New Algorithm of Fractal Image Coding

Wang Xiuni,Jiang Wei,Wang Licun

Journal Article

A new focused crawler using an improved tabu search algorithm incorporating ontology and host information

Jingfa LIU, Zhen WANG, Guo ZHONG, Zhihe YANG,1007427607@qq.com

Journal Article

A New Real-time Detecting Method for Harmonic Current Based on Iterative Algorithm in Active Power Filter

Li Zicheng,Sun Yukun

Journal Article

A new score normalizaion algorithm based on EMD-Tnorm for speaker verification

Li Yanping,Ding Hui,Tang Zhenmin

Journal Article