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An improved fruit fly optimization algorithm for solving traveling salesman problem Article

Lan HUANG, Gui-chao WANG, Tian BAI, Zhe WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1525-1533 doi: 10.1631/FITEE.1601364

Abstract: As a new swarm-intelligence optimization algorithm, the fruit fly optimization algorithm (FOA) is usedHowever, it has problems, including a slow convergence rate for the algorithm, easily falling into theFirst, the vision search process is reinforced in the foraging behavior of fruit flies to improve theThey are performed on the solution sequence in the fruit fly’s smell search and vision search processes

Keywords： Traveling salesman problem     Fruit fly optimization algorithm     Elimination mechanism     Vision search     Operator    

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Data-Driven Anomaly Diagnosis for Machining Processes Article

Y.C. Liang, S. Wang, W.D. Li, X. Lu

Engineering 2019, Volume 5, Issue 4,   Pages 646-652 doi: 10.1016/j.eng.2019.03.012

Abstract: Based on historical data, the values of thresholds are optimized using a fruit fly optimization (FFO)algorithm to achieve more accurate detection.

Keywords： Computer numerical control machining     Anomaly detection     Fruit fly optimization algorithm     Data-driven    

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Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

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

Abstract: In this regard, 899 data points were collected from existing studies where cement, slag, fly ash, superplasticizerwith extreme gradient boosting (XGB) to predict the compressive strength of green concrete based on flyThe 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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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization(HBO) algorithm.

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 583-593 doi: 10.15302/J-FASE -2020325

Abstract: These three treatments were applied during fruit-growth slowdown periods corresponding to Stages II andYield and fruit quality traits were determined. The effect of RDI differed between species.Yield and fruit size were reduced significantly only in peach under RDI-50.Fruit quality improved in this species in the first year of the experiment, with an increase of sugarand 50% in almond and plum with improvements in fruit quality without affecting total yield.

Keywords： fruit quality / fruit yield / Prunus domestica / Prunus dulcis / Prunus persica / regulated deficit irrigation    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

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Recent advances in fruit crop genomics

Qiang XU,Chaoyang LIU,Manosh Kumar BISWAS,Zhiyong PAN,Xiuxin DENG

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2014002

Abstract: In recent years, dramatic progress has been made in the genomics of fruit crops.The publication of a dozen fruit crop genomes represents a milestone for both functional genomics andbreeding programs in fruit crops.advances in high-throughput sequencing technology have revolutionized the manner and scale of genomics in fruitResearch on fruit crops is encompassing a wide range of biological questions which are unique and cannot

Keywords： fruit crops     fruit biology     gene function     genomics    

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Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading

Keywords： Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution networkoptimization

Xuewei QI,Ke LI,Walter D. POTTER

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 341-351 doi: 10.1007/s11783-015-0776-z

Abstract: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedParticle swarm optimization (PSO) has been shown to be a fast converging algorithm for WDN optimizationAn improved estimation of distribution algorithm (EDA) using historic best positions to construct a sample

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     water    

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RECENT ADVANCES IN THE REGULATION OF CLIMACTERIC FRUIT RIPENING: HORMONE, TRANSCRIPTION FACTOR AND EPIGENETIC

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract:

Fruit ripening is a complex developmental process made up of genetically programmed physiologicaltranscription factors (TFs) and epigenetic modifications also play vital role in the regulation of climacteric fruitinteractions between hormones and the action of TFs and epigenetic modifications during climacteric fruit

Keywords： climacteric fruit ripening / phytohormones / TFs / epigenetic modifications    

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: To overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.The primary objective of this article is to provide an up-to-date review of the existing design and optimizationPerspectives on future research on the design and optimization of reactive distillation method are proposed

Keywords： reactive distillation     process intensification     design method     reactive phase diagram     optimization algorithm    

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RECENT ADVANCES IN THE REGULATION OF CLIMACTERIC FRUIT RIPENING: HORMONE, TRANSCRIPTION FACTOR AND EPIGENETIC

Yinglin JI, Mingyang XU, Aide WANG

Frontiers of Agricultural Science and Engineering   Pages 314-334 doi: 10.15302/J-FASE-2021386

Abstract: Fruit ripening is a complex developmental process made up of genetically programmed physiological andtranscription factors (TFs) and epigenetic modifications also play vital role in the regulation of climacteric fruitinteractions between hormones and the action of TFs and epigenetic modifications during climacteric fruit

Keywords： climacteric fruit ripening     phytohormones     TFs     epigenetic modifications    

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Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 87-94

Abstract:

Particle swarm optimization (PSO) is a new optimization technique originating from artificial lifeThe algorithm completes the optimization through following the personal best solution of each particle

Keywords： swarm intelligence     evolutionary algorithm     particle swarm optimization    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presentedthe computation results of the numerical experiments are provided to verify the effectiveness of the algorithm

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: To solve the problem efficiently, a heuristic algorithm combined with a convolutional neural networkvariables are used as the CNN input, leading to the integration of a data-driven approach and classical optimizationby which a heuristic algorithm is established.petrochemical complex under planning and scheduling, but also confirm the high efficiency of the proposed algorithm

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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Title Author Date Type Operation

An improved fruit fly optimization algorithm for solving traveling salesman problem

Lan HUANG, Gui-chao WANG, Tian BAI, Zhe WANG

Journal Article

Data-Driven Anomaly Diagnosis for Machining Processes

Y.C. Liang, S. Wang, W.D. Li, X. Lu

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Journal Article

YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Recent advances in fruit crop genomics

Qiang XU,Chaoyang LIU,Manosh Kumar BISWAS,Zhiyong PAN,Xiuxin DENG

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution networkoptimization

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

RECENT ADVANCES IN THE REGULATION OF CLIMACTERIC FRUIT RIPENING: HORMONE, TRANSCRIPTION FACTOR AND EPIGENETIC

Journal Article

Design and optimization of reactive distillation: a review

Journal Article

RECENT ADVANCES IN THE REGULATION OF CLIMACTERIC FRUIT RIPENING: HORMONE, TRANSCRIPTION FACTOR AND EPIGENETIC

Yinglin JI, Mingyang XU, Aide WANG

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

Journal Article