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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 SPT

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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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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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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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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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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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: Second, the authors developed a heuristic solution for selecting the optimal weight factors used in the

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision tree model    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related uncertainties

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: The scouring phenomenon is one of the major problems experienced in hydraulic engineering. In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approaches, including the ant colony optimization, genetic algorithm, teaching-learning-based optimization, biogeographical-based optimization, and invasive weed optimization for estimating the long contraction scour depth. The proposed hybrid models are built using non-dimensional information collected from previous studies. The proposed hybrid intelligent models are evaluated using several statistical performance metrics and graphical presentations. Besides, the uncertainty of models, variables, and data are inspected. Based on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization (ANFIS-BBO) provides superior prediction accuracy compared to others, with a maximum correlation coefficient (Rtest = 0.923) and minimum root mean square error value (RMSEtest = 0.0193). Thus, the proposed ANFIS-BBO is a capable cost-effective method for predicting long contraction scouring, thus, contributing to the base knowledge of hydraulic structure sustainability.

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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A Novel Approach to Solve Complex Packing Problems

Wang Tao,Wei Feng

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 65-68

Abstract: packing problems in two steps： Firstly, the volume-maximizing loading is carried out according to some heuristic

Keywords： packing problems     heuristic     center of gravity     genetic algorithm    

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Mixture test strategy optimization for analog systems

梅文娟,刘震,李欧行,苏元章,梅渝松,龙泳吉

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1302-1315 doi: 10.1631/FITEE.2200512

Abstract: To overcome the above weaknesses, we propose a novel approach called heuristic programming (HP) to generate

Keywords： Fault diagnosis     Heuristic searching     Dynamic programming     Test optimization    

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Optimal Method of Capacitated Lot-Sizing Planning in Manufacturing Systems

CHANG Jian-feng, ZHONG Yue-xian, HAN Zan-dong

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 67-70 doi: 10.1007/s11465-005-0020-9

Abstract: The genetic algorithm, the parameter linear programming method, and a heuristic method were used in thedetermine eachmachine' s schedule (the second layer) according to the lot-sizing matrix, and the heuristic

Keywords： heuristic     two-layer hierarchical     algorithm     constraint     developed    

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Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 255-259 doi: 10.1007/s11708-012-0202-1

Abstract: In this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds

Keywords： invasive weed optimization     non-convexity     prohibited operating zones (POZ)     valve point loading     meta-heuristic    

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Combined heat and power economic dispatch problem using firefly algorithm

Afshin YAZDANI, T. JAYABARATHI, V. RAMESH, T. RAGHUNATHAN

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 133-139 doi: 10.1007/s11708-013-0248-8

Abstract: problem for these plants to optimize the fuel cost is quite complex and several classical and meta-heuristic

Keywords： combined heat and power (CHP) economic dispatch     meta-heuristic algorithm     firefly algorithm     cogeneration    

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A Study on Double Bases Cooperating Mechanism in KDD (Ⅱ)

Yang Bingru,Wang Jianxin,Sun Haihong

Strategic Study of CAE 2002, Volume 4, Issue 5,   Pages 34-43

Abstract:

On the basis of paper ( I ) , this paper realized the reduction of the knowledge base and constructed the two coordinators and a component in the double-bases cooperating mechanism. Furthermore, the KDD* , which is the combination of KDD and double-bases cooperating mechanism, is constructed as an open and optimized enlargement of KDD. In the same time, this paper proposes a new association rule mining algorithm——Maradbcm which is based on the study on the inner mechanism, i. e. double base cooperating mechanism, of KDD and explains the algorithm of Maradbcm and Apriori respectively. Through the analysis of the algorithm and examples, it is shown that the main disadvantage of Apriori, overall database searching and deleting meaningful rules by minimum support threshold during creating large item set, can be overcome by Maradbcm algorithm. Then this paper proposed a new clustering method based on double-base cooperating mechanism. It is shown that the study of inner mechanism is important to the KDD mainstream development and it also provides a new path for the research in the area of knowledge discovery system.

Keywords： nowledge discovery     double-base cooperating mechanism     heuristic coordinator     interruptive coordinator     Maradbcm    

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Combined heat and power economic dispatch problem using the invasive weed optimization algorithm

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH, T. RAGHUNATHAN

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 25-30 doi: 10.1007/s11708-013-0276-4

Abstract: dispatch problem for these plants optimizing the fuel cost is quite complex and several classical and meta-heuristic

Keywords： combined heat and power (CHP)     economic dispatch     meta-heuristic algorithm     invasive weed optimization     cogeneration    

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Title Author Date Type Operation

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

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

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

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

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Journal Article

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

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related uncertainties

Journal Article

A Novel Approach to Solve Complex Packing Problems

Wang Tao,Wei Feng

Journal Article

Mixture test strategy optimization for analog systems

梅文娟,刘震,李欧行,苏元章,梅渝松,龙泳吉

Journal Article

Optimal Method of Capacitated Lot-Sizing Planning in Manufacturing Systems

CHANG Jian-feng, ZHONG Yue-xian, HAN Zan-dong

Journal Article

Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Journal Article

Combined heat and power economic dispatch problem using firefly algorithm

Afshin YAZDANI, T. JAYABARATHI, V. RAMESH, T. RAGHUNATHAN

Journal Article

A Study on Double Bases Cooperating Mechanism in KDD (Ⅱ)

Yang Bingru,Wang Jianxin,Sun Haihong

Journal Article

Combined heat and power economic dispatch problem using the invasive weed optimization algorithm

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH, T. RAGHUNATHAN

Journal Article