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An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 241-253 doi: 10.1007/s11465-018-0518-6

Abstract: This paper proposes an improved artificial bee colony (IABC) algorithm with the MaxTF heuristic rule.In the heuristic initialization process, the MaxTF rule defines a new task’s priority weight.The experimental results demonstrate that the proposed MaxTF rule performs better than other heuristic

Keywords： two-sided assembly line balancing problem     artificial bee colony algorithm     heuristic rules     time boundary    

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A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops

Guang GUO, Bo WU, Shuzi YANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 197-202 doi: 10.1007/s11465-011-0211-5

Abstract:

A new adaptive job-insertion based heuristic is presented to minimize the mean flowtime in a dynamicThe heuristic is derived by inserting new jobs into the scheduled sequence as needed when the machineComputation results indicate that the proposed heuristic performs 2.7%–10.8% better than the SPTdispatching rule, which is currently one of the most effective methods for minimizing the mean flowtime

Keywords： scheduling     dynamic flowshops     flowtime     heuristic     mean flowtime    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex with heuristic

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 networkCNN input, leading to the integration of a data-driven approach and classical optimization by which a heuristic

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

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, which can serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis. The existing entity and relation extraction methods that depend on pretrained models have shown promising performance on open datasets. However, the performance of these methods degrades when they face domain-specific datasets. Entity extraction models treat characters as basic semantic units while ignoring known character dependency in specific domains. Relation extraction is based on the hypothesis that the relations hidden in sentences are unified, thereby neglecting that relations may be diverse in different entity tuples. To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries to enhance characters’ dependence. Second, domain rules were built to eliminate noise in entity relations and promote potential entity relation extraction. Finally, experiments were designed to verify the effectiveness of our proposed methods. Experimental results on two domains, including laser industry and unmanned ship, showed the superiority of our methods. The F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmanned ship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively. In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry entity pair and unmanned ship entity pair datasets, respectively.

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Dynamic grouping of heterogeneous agents for exploration and strike missions Research Article

Chen CHEN, Xiaochen WU, Jie CHEN, Panos M. PARDALOS, Shuxin DING,xiaofan@bit.edu.cn,wsygdhrwxc@sina.com,pardalos@ufl.edu

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 86-100 doi: 10.1631/FITEE.2000352

Abstract: The ever-changing environment and complex combat missions create new demands for the formation of mission groups of unmanned combat agents. This study aims to address the problem of dynamic construction of mission groups under new requirements. Agents are heterogeneous, and a method must dynamically form new groups in circumstances where missions are constantly being explored. In our method, a strategy that combines s and response threshold models is proposed to dynamically adjust the members of the mission group and adapt to the needs of new missions. The degree of matching between the mission requirements and the group's capabilities, and the communication cost of are used as indicators to evaluate the quality of the group. The response threshold method and the ant colony algorithm are selected as the comparison algorithms in the simulations. The results show that the grouping scheme obtained by the proposed method is superior to those of the comparison methods.

Keywords： Multi-agent     Dynamic missions     Group formation     Heuristic rule     Networking overhead    

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Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Frontiers of Medicine 2016, Volume 10, Issue 3,   Pages 258-270 doi: 10.1007/s11684-016-0458-7

Abstract:

The N-end rule pathway is a unique branch of the ubiquitin-proteasome system in which the determinationThe molecular basis of the N-end rule pathway has been elucidated and its physiological functions haveThis review summarized the physiological functions of the N-end rule pathway, introduced the related

Keywords： N-end rule pathway     Ate1     cardiovascular development     neurogenesis     spermatogenesis     neurodegenerative disorders    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract: To improve the robustness of the scheduling scheme, we propose a novel slack-based robust scheduling ruleThe proposed SR is verified under different scenarios, and the results are compared with the existing heuristic

Keywords： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling rule    

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variableAt last, some future directions on association rule generation are viewed.

Keywords： data mining     association rule     algorithms     survey    

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Determination of a suitable index for a solvent via two-column extractive distillation using a heuristic

Zhaoyou Zhu, Guoxuan Li, Yao Dai, Peizhe Cui, Dongmei Xu, Yinglong Wang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 5,   Pages 824-833 doi: 10.1007/s11705-019-1867-3

Abstract: This work presents a heuristic method for selecting the optimal solvent to minimize the total annual

Keywords： heuristic method     solvent selection     extractive distillation     total annual cost    

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Study on the NOx release rule along the boiler during pulverized coal combustion

JIN Jing, ZHANG Zhongxiao, LI Ruiyang

Frontiers in Energy 2007, Volume 1, Issue 1,   Pages 91-95 doi: 10.1007/s11708-007-0009-7

Abstract: Numerical simulation and experimental study on NO release along the boiler during pulverized coal combustion have been conducted. With the increase of temperature the NO emission increased and the peak value of NO release moved forward. But when the temperature increased to a certain degree, NO emission began to reduce. NO emission increased with the increase of nitrogen content of coal. The peak value of NO release moved backwards with the increase of coal rank. NO emission increased obviously with the increase of stoichiometric ratio. There existed a critical average diameter of the pulverized coal (). If "d, NO emission reduced with the decrease of pulverized coal size. If >, NO emission reduced with the increase of the pulverized coal size. The results showed that the simulation results are in agreement with the experimental results for concentration distribution of NO along the axis of the furnace.
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An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: In this study, the performance of an efficient two-stage methodology which is applied in a damage detection system using a surrogate model of the structure has been investigated. In the first stage, in order to locate the damage accurately, the performance of the modal strain energy based index for using different numbers of natural mode shapes has been evaluated using the confusion matrix. In the second stage, to estimate the damage extent, the sensitivity of most used modal properties due to damage, such as natural frequency and flexibility matrix is compared with the mean normalized modal strain energy (MNMSE) of suspected damaged elements. Moreover, a modal property change vector is evaluated using the group method of data handling (GMDH) network as a surrogate model during damage extent estimation by optimization algorithm; in this part of methodology, the performance of the three popular optimization algorithms including particle swarm optimization (PSO), bat algorithm (BA), and colliding bodies optimization (CBO) is examined and in this regard, root mean square deviation ( ) based on the modal property change vector has been proposed as an objective function. Furthermore, the effect of noise in the measurement of structural responses by the sensors has also been studied. Finally, in order to achieve the most generalized neural network as a surrogate model, GMDH performance is compared with a properly trained cascade feed-forward neural network (CFNN) with log-sigmoid hidden layer transfer function. The results indicate that the accuracy of damage extent estimation is acceptable in the case of integration of PSO and MNMSE. Moreover, the GMDH model is also more efficient and mimics the behavior of the structure slightly better than CFNN model.

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

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The study of slip line field and upper bound method based on the non-associated flow rule

Zheng Yingren,Deng Chujian,Wang Jinglin

Strategic Study of CAE 2010, Volume 12, Issue 8,   Pages 56-69

Abstract: text-align: justify;">The slip line field theory and the upper bound method based on the associated flow ruleplastic theory don't accord with the experiment for geotechnical material ,so the non-associated flow ruleproblems existing in the slip line field theory and the upper bound method based on the associated flow ruleThe slip line field theory and the upper bound method based on the non-associated flow rule were deducedinconsistencies in the slip line field theory and the upper bound method based on the associated flow rule

Keywords： slip line field     upper bound method     associated flow rule     non-associated flow rule     generalized plastic    

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Based on ancient chinese engineering management “Dujiangyan Triangle Rule”and its application

Lu Guiqing

Strategic Study of CAE 2013, Volume 15, Issue 11,   Pages 24-30

Abstract: Dujiangyan water conservancy, it creatively puts forward and establishes the "Dujiangyan Triangle Rulestate-owned construction enterprises,this paper discourses the connotation of "Dujiangyan Triangle Rule

Keywords： construction engineering management     labor productivity     Dujiangyan Triangle Rule     human resource management    

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Extracting terms from clinical records of traditional Chinese medicine

Cungen Cao,Meng Sun,Shi Wang

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 347-351 doi: 10.1007/s11684-014-0361-z

Abstract:

Health records of traditional Chinese medicine contain valuable clinical information which can be used for improvement of disease treatment and for medical research. In this paper, we present a practical iterative extraction method for extracting terms from the records. The method is based on a set of extraction rules, the Mesh, and the likelihood ratio technique, and achieved a precision rate of 88.18% and a recall rate of 94.21%.

Keywords： term extraction     rule-based     likelihood ratio    

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Prediction of hydro-suction dredging depth using data-driven methods

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 652-664 doi: 10.1007/s11709-021-0719-7

Abstract: In this study, data-driven methods (DDMs) including different kinds of group method of data handling (GMDH) hybrid models with particle swarm optimization (PSO) and Henry gas solubility optimization (HGSO) methods, and simple equations methods were applied to simulate the maximum hydro-suction dredging depth (hs). Sixty-seven experiments were conducted under different hydraulic conditions to measure the hs. Also, 33 data samples from three previous studies were used. The model input variables consisted of pipeline diameter (d), the distance between the pipe inlet and sediment level (Z), the velocity of flow passing through the pipeline (u0), the water head (H), and the medium size of particles (D50). Data-driven simulation results indicated that the HGSO algorithm accurately trains the GMDH methods better than the PSO algorithm, whereas the PSO algorithm trained simple simulation equations more precisely. Among all used DDMs, the integrative GMDH-HGSO algorithm provided the highest accuracy (RMSE = 7.086 mm). The results also showed that the integrative GMDHs enhance the accuracy of polynomial GMDHs by ~14.65% (based on the RMSE).

Keywords： sedimentation     water resources     dam engineering     machine learning     heuristic    

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Title Author Date Type Operation

An improved artificial bee colony algorithm with MaxTF heuristic rule for two-sided assembly line balancing

Xiaokun DUAN, Bo WU, Youmin HU, Jie LIU, Jing XIONG

Journal Article

A job-insertion heuristic for minimizing the mean flowtime in dynamic flowshops

Guang GUO, Bo WU, Shuzi YANG

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex with heuristic

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Dynamic grouping of heterogeneous agents for exploration and strike missions

Chen CHEN, Xiaochen WU, Jie CHEN, Panos M. PARDALOS, Shuxin DING,xiaofan@bit.edu.cn,wsygdhrwxc@sina.com,pardalos@ufl.edu

Journal Article

Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Journal Article

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Journal Article

Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Journal Article

Determination of a suitable index for a solvent via two-column extractive distillation using a heuristic

Zhaoyou Zhu, Guoxuan Li, Yao Dai, Peizhe Cui, Dongmei Xu, Yinglong Wang

Journal Article

Study on the NOx release rule along the boiler during pulverized coal combustion

JIN Jing, ZHANG Zhongxiao, LI Ruiyang

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

The study of slip line field and upper bound method based on the non-associated flow rule

Zheng Yingren,Deng Chujian,Wang Jinglin

Journal Article

Based on ancient chinese engineering management “Dujiangyan Triangle Rule”and its application

Lu Guiqing

Journal Article

Extracting terms from clinical records of traditional Chinese medicine

Cungen Cao,Meng Sun,Shi Wang

Journal Article

Prediction of hydro-suction dredging depth using data-driven methods

Journal Article