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A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline Article

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1228-1244 doi: 10.1631/FITEE.1500386

Abstract: First, a modified simulated annealing (MSA) algorithm is proposed.

Keywords： Fixed-outline floorplanning     Modified simulated annealing algorithm     Global search     Excessive area model    

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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    

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Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and

Xiao-ping BAI,Ya-nan LIU

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 462-471 doi: 10.1007/s11709-016-0361-y

Abstract: In the Insight software environment, the Adaptive Simulated Annealing (ASA) algorithm is used to get

Keywords： civil engineering     dynamic reliability     grey relational degree     adaptive simulated annealing algorithm    

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Obtain the optimum of logistics delivery network with annealing algorithm

Duan Jingmin,Chang Yuejun,Li Zanxiang,Cui Jianming

Strategic Study of CAE 2012, Volume 14, Issue 7,   Pages 109-112

Abstract:

Simulated annealing algorithm is a heuristic algorithm, proposed oneapproximation algorithm of solving optimization combinatorial problems inspired by objects in the annealingThe algorithm is superior to the traditional greedy algorithm,which avoids falling into local optimumThe paper uses an example of simulated annealing algorithm to verify it, and the method is proved to

Keywords： simulated annealing algorithm     global optimum     network of logistics and distribution network    

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Pragmatic multi-stage simulated annealing for optimal placement of synchrophasor measurement units in

Pathirikkat GOPAKUMAR,M. JAYA BHARATA REDDY,Dusmata Kumar MOHANTA

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 148-161 doi: 10.1007/s11708-015-0344-z

Abstract: This paper proposes a pragmatic multi-stage simulated annealing (PMSSA) methodology for finding the optimalThe proposed PMSSA is much faster than the conventional simulated annealing (SA) approach as it utilizes

Keywords： phasor measurement units (PMUs)     pragmatic PMU placement     simulated annealing (SA)     western region Indian    

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Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing

Meenu GUPTA, Surinder Kumar GILL

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 417-426 doi: 10.1007/s11465-012-0343-2

Abstract: unidirectional glass fiber reinforced plastics (UD-GFRP) composite using regression modeling and optimization by simulatedannealing.

Keywords： UD-GFRP     ANOVA     radial cutting force     PCD tool     Taguchi method     regression analysis     simulated annealing     multi    

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Focused crawling strategies based on ontologies and simulated annealing methods for rainstorm disaster Research Article

Jingfa LIU, Fan LI, Ruoyao DING, Zi’ang LIU,jfliu@nuist.edu.cn,bj2014_lifan@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1189-1204 doi: 10.1631/FITEE.2100360

Abstract: At present, is a crucial method for obtaining effective domain knowledge from massive heterogeneous networks. For most current focused crawling technologies, there are some difficulties in obtaining high-quality crawling results. The main difficulties are the establishment of topic benchmark models, the assessment of topic relevance of hyperlinks, and the design of crawling strategies. In this paper, we use domain to build a topic benchmark model for a specific topic, and propose a novel multiple-filtering strategy based on local and global (MFSLG). A comprehensive method (CPEM) based on the web text and link structure is introduced to improve the computation precision of topic relevance for unvisited hyperlinks, and a (SA) method is used to avoid the falling into local optima of the search. By incorporating SA into the with MFSLG and CPEM for the first time, two novel strategies based on and SA (FCOSA), including FCOSA with only global (FCOSA_G) and FCOSA with both local and global (FCOSA_LG), are proposed to obtain topic-relevant webpages about s from the network. Experimental results show that the proposed crawlers outperform the other focused crawling strategies on different performance metric indices.

Keywords： Focused crawler     Ontology     Priority evaluation     Simulated annealing     Rainstorm disaster    

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Experimental study of modal parameter identification in a simulated ambient-excited structure

JI Xiaodong, QIAN Jiaru, XU Longhe

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 281-285 doi: 10.1007/s11709-007-0036-9

Abstract: The natural excitation technique and the eigensystem realization algorithm were combined to identifythe modal parameters in the time domain of a structure excited by simulated ambient vibrations.The experimental modal analysis was performed on a two-story steel braced frame model excited by simulated

Keywords： eigensystem realization     eigen-sensitivity analysis     realization algorithm     vibration     effective    

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The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithm

Ding Xiaoqing,Fu Qiang

Strategic Study of CAE 2009, Volume 11, Issue 10,   Pages 19-24

Abstract:

The proposed modified Adaboost algorithm adopts the descriptive modelbased on multi-class classifiers (modified quadratic discriminant function, MQDF) as element classifiersApplying the algorithm to Chinese handwritten character recognition on HCL2000 and THOCR-HCD databases

Keywords： multiclass Adaboost algorithm     Chinese handwritten character recognition     generalized confidence     modified    

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Tuned reactive power dispatch through modified differential evolution technique

S. BISWAS (RAHA), N. CHAKRABORTY

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 138-147 doi: 10.1007/s11708-012-0188-8

Abstract: This paper explores the capability of modified differential evolution (MDE) technique for solving the

Keywords： reactive power dispatch (RPD)     modified differential evolution (MDE)     differential evolution algorithm    

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Friendship-aware task planning in mobile crowdsourcing Article

Yuan LIANG,Wei-feng LV,Wen-jun WU,Ke XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 107-121 doi: 10.1631/FITEE.1601860

Abstract: in an offline setting, we first observe the characteristics of task planning (CTP) and devise a CTP algorithmWe also propose an effective greedy method and integrated simulated annealing (ISA) techniques to improvethe algorithm performance.To solve the problem in an online setting, we develop a greedy algorithm for task planning.

Keywords： Mobile crowdsourcing     Task planning     Greedy algorithms     Simulated annealing    

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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.A novel approach tackles the second issue by initially using a modified Cholesky factorization to decomposeTheoretical analysis and experiments on both simulated and real spectral data demonstrate that the proposedalgorithm significantly 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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A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 22-30 doi: 10.1007/s11708-014-0339-1

Abstract: In this paper, a novel modified neural algorithm has been identified for the online estimation of rotorThe training algorithm of the neural network determines its learning speed, stability, weight convergenceThe proposed learning algorithm is found to exhibit good estimation and tracking capabilities.

Keywords： neural networks     back propagation (BP)     rotor resistance estimators     vector control     induction motor    

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NEHASH: high-concurrency extendible hashing for non-volatile memory Research Article

Qiankun WANG, Xingchen LI, Bingzhe WU, Ke YANG, Wei HU, Guangyu SUN, Yuchao YANG,gsun@pku.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5,   Pages 731-741 doi: 10.1631/FITEE.2200463

Abstract: COPPER is capable of efficiently running the modified quantized CSA algorithm and supporting the pipeline

Keywords： Combinatorial optimization     Chaotic simulated annealing     Processing-in-memory    

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Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Strategic Study of CAE 2014, Volume 16, Issue 8,   Pages 106-112

Abstract:

The binary artificial bee colony algorithm has the shortcomings of slowerAccording to the defects, a modified binary artificial bee colony algorithm is proposed.The algorithm redesign neighborhood search formula in artificial bee colony algorithm, the probabilityThe modified algorithm was used for solving multidimensional knapsack problem, during the evolution processThe simulation results show the feasibility and effectiveness of the proposed algorithm.

Keywords： artificial bee colony algorithm     multidimensional knapsack problem     greedy algorithm     combinatorial optimization    

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Title Author Date Type Operation

A modified simulated annealing algorithm and an excessive area model for floorplanning using fixed-outline

De-xuan ZOU,Gai-ge WANG,Gai PAN,Hong-wei QI

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article

Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and

Xiao-ping BAI,Ya-nan LIU

Journal Article

Obtain the optimum of logistics delivery network with annealing algorithm

Duan Jingmin,Chang Yuejun,Li Zanxiang,Cui Jianming

Journal Article

Pragmatic multi-stage simulated annealing for optimal placement of synchrophasor measurement units in

Pathirikkat GOPAKUMAR,M. JAYA BHARATA REDDY,Dusmata Kumar MOHANTA

Journal Article

Prediction of cutting force in turning of UD-GFRP using mathematical model and simulated annealing

Meenu GUPTA, Surinder Kumar GILL

Journal Article

Focused crawling strategies based on ontologies and simulated annealing methods for rainstorm disaster

Jingfa LIU, Fan LI, Ruoyao DING, Zi’ang LIU,jfliu@nuist.edu.cn,bj2014_lifan@163.com

Journal Article

Experimental study of modal parameter identification in a simulated ambient-excited structure

JI Xiaodong, QIAN Jiaru, XU Longhe

Journal Article

The modified Adaboost algorithm for Chinese handwritten character recognitionThe modified Adaboost algorithm

Ding Xiaoqing,Fu Qiang

Journal Article

Tuned reactive power dispatch through modified differential evolution technique

S. BISWAS (RAHA), N. CHAKRABORTY

Journal Article

Friendship-aware task planning in mobile crowdsourcing

Yuan LIANG,Wei-feng LV,Wen-jun WU,Ke XU

Journal Article

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

A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction

A. CHITRA,S. HIMAVATHI

Journal Article

NEHASH: high-concurrency extendible hashing for non-volatile memory

Qiankun WANG, Xingchen LI, Bingzhe WU, Ke YANG, Wei HU, Guangyu SUN, Yuchao YANG,gsun@pku.edu.cn

Journal Article

Modified Binary Artificial Bee Colony Algorithm forMultidimensional Knapsack Problem

Wang Zhigang,Xia Huiming

Journal Article