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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: Harmony search (HS) is a form of stochastic meta-heuristic inspired by the improvisation process of musiciansIn this study, a modified HS with a hybrid cuckoo search (CS) operator, HS-CS, is proposed to enhanceglobal search ability while avoiding falling into local optima.

Keywords： Harmony search algorithm     Cuckoo search algorithm     Global convergence     Function optimization     Weighted    

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MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization Research Article

Kai MENG, Chen CHEN, Bin XIN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1828-1847 doi: 10.1631/FITEE.2200237

Abstract: The (SSA) is a recent meta-heuristic optimization approach with the advantages of simplicity and flexibility. However, SSA still faces challenges of premature convergence and imbalance between exploration and exploitation, especially when tackling multimodal . Aiming to deal with the above problems, we propose an enhanced variant of SSA called the multi-strategy enhanced (MSSSA) in this paper. First, a chaotic map is introduced to obtain a high-quality initial population for SSA, and the opposition-based learning strategy is employed to increase the population diversity. Then, an is designed to accommodate an adequate balance between exploration and exploitation. Finally, a is embedded in the individual update stage to avoid falling into local optima. To validate the effectiveness of the proposed MSSSA, a large number of experiments are implemented, including 40 complex functions from the IEEE CEC2014 and IEEE CEC2019 test suites and 10 classical functions with different dimensions. Experimental results show that the MSSSA achieves competitive performance compared with several state-of-the-art optimization algorithms. The proposed MSSSA is also successfully applied to solve two engineering . The results demonstrate the superiority of the MSSSA in addressing practical problems.

Keywords： Swarm intelligence     Sparrow search algorithm     Adaptive parameter control strategy     Hybrid disturbance    

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Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 283-295 doi: 10.1631/FITEE.1500306

Abstract: In this paper, the effects of altering the organizational setting of distributed adaptive search processesin the course of search are investigated.We put particular emphasis on the complexity of interactions between partial search problems assignedto search agents.achieved during the search process.

Keywords： Agent-based simulation     Complexity     Coordination     Distributed search     NK landscapes    

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Compressive strength prediction and optimization design of sustainable concrete based on squirrel search

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 297-304 doi: 10.1007/s11708-014-0309-7

Abstract: In this context, a novel structure was proposed for improving harmony search (HS) algorithm to solve

Keywords： generation scheduling     harmony search (HS) algorithm     intelligent technique     unit commitment    

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Border-search and jump reduction method for size optimization of spatial truss structures

Babak DIZANGIAN, Mohammad Reza GHASEMI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 123-134 doi: 10.1007/s11709-018-0478-2

Abstract: This paper proposes a sensitivity-based border-search and jump reduction method for optimum design ofTo reach the global solution at phase two, a sequence of two sensitivity-based operators of border-search

Keywords： optimum design     sensitivity analysis     reduction method     spatial trusses     OpenSees    

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Current research, key performances and future development of search and rescue robots

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 404-416 doi: 10.1007/s11465-007-0070-2

Abstract: Search and rescue (SAR) robots can not only improve the efficiency of rescue operations but also reduceSearch and rescue robots will play a more and more important role in the rescue operations.A survey of the research status of search and rescue robots in Japan, USA, China and other countriescurrent research, experiences and the lessons learned from applications, the five key performances of a searchmulti-agent intelligent network are considered to be requirements for the future development of the search

Keywords： national development     communicability     mobility     national     intelligent network    

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Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors Article

Ningbo Yu, Shirong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 164-172 doi: 10.1016/j.eng.2018.11.014

Abstract: Partial map simulation and global frontier search methods were combined for autonomous exploration, and

Keywords： Autonomous exploration     Red/green/blue-depth     Sensor fusion     Point cloud     Partial map simulation     Globalfrontier search    

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Erratum to: Efficient keyword search over graph-structured data based on minimal covered Erratum

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.18e0133

Abstract: Unfortunately the second author’s name has been misspelt. It should be read: Abbas NIKNAFS.
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Search for a natural scientific measure of economy

John E COULTER

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 1,   Pages 111-118 doi: 10.1007/s11783-011-0285-7

Abstract: counterfeiting of coins and notes goes back a long way, it is only with electronic financial accounting in a globaleconomy tainted by toxic loans and imaginary funds that there is an urgency to search for a realistic, especially in China, driven by the desperation to measure the reality beyond the twin specters of global

Keywords： climate change     financial crisis     energy     exergy     environment    

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Finding map regions with high density of query keywords Article

Zhi YU, Can WANG, Jia-jun BU, Xia HU, Zhe WANG, Jia-he JIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1543-1555 doi: 10.1631/FITEE.1600043

Abstract: This region search problem can be applied in many practical scenarios such as shopping recommendationWhile conventional map search retrieves isolate locations in a map, users frequently attempt to findIn this paper, we present a novel region search algorithm, dense region search (DRS), and its extensions

Keywords： Map search     Region search     Region recommendation     Spatial keyword search     Geographic information system    

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Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: abovementioned problem is solved using the optimal point obtained from the previous step and the pattern search

Keywords： optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

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Genome-wide search for candidate genes determining vertebrae number in pigs

Longchao ZHANG, Jingwei YUE, Xin LIU, Jing LIANG, Kebin ZHAO, Hua YAN, Na LI, Lei PU, Yuebo ZHANG, Huibi SHI, Ligang WANG, Lixian WANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 327-334 doi: 10.15302/J-FASE-2017163

Abstract: Longer porcine carcasses may be expected to have more vertebrae. Therefore, vertebrae number in pigs is an economically important trait. To examine the genetic basis of this trait, we genotyped 578 F Large White × Minzhu pigs using the Porcine SNP60K BeadChip. A genome-wide association study (GWAS) identified 36 significant single nucleotide polymorphisms (SNPs) on the chromosomes SSC1 (294.28–300.32 Mb) and SSC7 (102.22–109.39 Mb). A 6.04-Mb region that contained all 13 significant SNPs on SSC1 also contained the gene , previously reported to influence the number of vertebrae in pigs. However, the reported putative casual mutation of c.748C>T showed no genome-wide significant association with the trait, suggesting it was not a causal mutation in our population. The remaining 23 significant SNPs on SSC7 were concentrated in a 7.17-Mb region, which was within a quantitative trait locus interval for number of vertebrae. was the closest gene to the most significant SNP and might be a candidate. Haplotype sharing and block analysis refined the QTL to an interval of about 3 Mb containing 29 candidate genes. Of these 29 genes, the previously reported possible casual mutation of g.19034A>C was not found to be a causal mutation in our population. Exploration of these genes via additional genetic and functional studies in mammals revealed that could be a good candidate on SSC7. A mutation of c.1749G>A was detected by GWAS and could be proposed as a candidate causal mutation, or as closely linked to a causal mutation, for the number of vertebrae in pigs.

Keywords： genome-wide association study     number of vertebrae     pig     SSC7     TGFβ3    

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Infrared Imaging Technology and Development of Countermeasures in Disaster Monitoring and Emergency Search

Wang Xinsai,Zhou Fengjun,Zheng Lei and He Jing

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 92-99 doi: 10.15302/J-SSCAE-2017.06.014

Abstract:

Urban underground space has become the fastest growing area in globalchallenges faced by infrared imaging technology when implemented in disaster monitoring and emergency search

Keywords： infrared imaging     disaster monitoring     emergency search and rescue     countermeasure     urban underground    

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SUSTAINABLE NITROGEN MANAGEMENT INDEX: DEFINITION, GLOBAL ASSESSMENT AND POTENTIAL IMPROVEMENTS

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 3,   Pages 356-365 doi: 10.15302/J-FASE-2022458

Abstract:

● A composite N management index is proposed to measure agriculture sustainability.

Keywords： global assessment     indicator     nitrogen management     sustainable agriculture     sustainable development goals    

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Title Author Date Type Operation

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

MSSSA: a multi-strategy enhanced sparrow search algorithm for global optimization

Kai MENG, Chen CHEN, Bin XIN

Journal Article

Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search

Journal Article

Solving unit commitment problem using a novel version of harmony search algorithm

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

Journal Article

Border-search and jump reduction method for size optimization of spatial truss structures

Babak DIZANGIAN, Mohammad Reza GHASEMI

Journal Article

Current research, key performances and future development of search and rescue robots

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

Journal Article

Enhanced Autonomous Exploration and Mapping of an Unknown Environment with the Fusion of Dual RGB-D Sensors

Ningbo Yu, Shirong Wang

Journal Article

Erratum to: Efficient keyword search over graph-structured data based on minimal covered

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

Journal Article

Search for a natural scientific measure of economy

John E COULTER

Journal Article

Finding map regions with high density of query keywords

Zhi YU, Can WANG, Jia-jun BU, Xia HU, Zhe WANG, Jia-he JIN

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

Genome-wide search for candidate genes determining vertebrae number in pigs

Longchao ZHANG, Jingwei YUE, Xin LIU, Jing LIANG, Kebin ZHAO, Hua YAN, Na LI, Lei PU, Yuebo ZHANG, Huibi SHI, Ligang WANG, Lixian WANG

Journal Article

Infrared Imaging Technology and Development of Countermeasures in Disaster Monitoring and Emergency Search

Wang Xinsai,Zhou Fengjun,Zheng Lei and He Jing

Journal Article

SUSTAINABLE NITROGEN MANAGEMENT INDEX: DEFINITION, GLOBAL ASSESSMENT AND POTENTIAL IMPROVEMENTS

Journal Article