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

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

《结构与土木工程前沿（英文）》 2020年第14卷第4期页码 907-929 doi: 10.1007/s11709-020-0628-1

摘要： 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.

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

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

《结构与土木工程前沿（英文）》 2021年第15卷第3期页码 665-681 doi: 10.1007/s11709-021-0713-0

摘要： 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 (R_test = 0.923) and minimum root mean square error value (RMSE_test = 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.

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

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Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

《能源前沿（英文）》 2012年第6卷第3期页码 255-259 doi: 10.1007/s11708-012-0202-1

摘要： In this paper the invasive weed optimization algorithm has been applied to a variety of economic dispatch (ED) problems. The ED problem is concerned with minimizing the fuel cost by optimally loading the electrical generators which are committed to supply a given demand. Some involve prohibited operating zones, transmission losses and valve point loading. In general, they are non-linear non-convex optimization problems which cannot be directly solved by conventional methods. In this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds, has been applied to four numerical examples and has resulted in promising solutions compared to published results.

关键词： economic dispatch (ED) 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

《能源前沿（英文）》 2013年第7卷第2期页码 133-139 doi: 10.1007/s11708-013-0248-8

摘要： Cogeneration units, which produce both heat and electric power, are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units, which produce either heat or power exclusively. Hence, the economic dispatch problem for these plants to optimize the fuel cost is quite complex and several classical and meta-heuristic algorithms have been proposed earlier. This paper applies the firefly algorithm, which is inspired by the behavior of fireflies which attract each other based on their luminosity. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over the earlier methods.

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

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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

《能源前沿（英文）》 2014年第8卷第1期页码 25-30 doi: 10.1007/s11708-013-0276-4

摘要： Cogeneration units which produce both heat and electric power are found in many process industries. These industries also consume heat directly in addition to electricity. The cogeneration units operate only within a feasible zone. Each point within the feasible zone consists of a specific value of heat and electric power. These units are used along with other units which produce either heat or power exclusively. Hence the economic dispatch problem for these plants optimizing the fuel cost is quite complex and several classical and meta-heuristic algorithms have been proposed earlier. This paper applies the invasive weed optimization algorithm which is inspired by the ecological process of weed colonization and distribution. The results obtained have been compared with those obtained by other methods earlier and showed a marked improvement over earlier ones.

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

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

《化学科学与工程前沿（英文）》 2023年第17卷第10期页码 1516-1532 doi: 10.1007/s11705-022-2283-7

摘要： This paper focuses on the integrated problem of long-term planning and short-term scheduling in a large-scale refinery-petrochemical complex, and considers the overall manufacturing process from the upstream refinery to the downstream petrochemical site. Different time scales are incorporated from the planning and scheduling subproblems. At the end of each discrete time period, additional constraints are imposed to ensure material balance between different time scales. Discrete time representation is applied to the planning subproblem, while continuous time is applied to the scheduling of ethylene cracking and polymerization processes in the petrochemical site. An enterprise-wide mathematical model is formulated through mixed integer nonlinear programming. To solve the problem efficiently, a heuristic algorithm combined with a convolutional neural network (CNN), is proposed. Binary variables are used as the CNN input, leading to the integration of a data-driven approach and classical optimization by which a heuristic algorithm is established. The results do not only illustrate the detailed operations in a refinery and petrochemical complex under planning and scheduling, but also confirm the high efficiency of the proposed algorithm for solving large-scale problems.

关键词： 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

《机械工程前沿（英文）》 2019年第14卷第2期页码 241-253 doi: 10.1007/s11465-018-0518-6

摘要： Two-sided assembly line is usually used for the assembly of large products such as cars, buses, and trucks. With the development of technical progress, the assembly line needs to be reconfigured and the cycle time of the line should be optimized to satisfy the new assembly process. Two-sided assembly line balancing with the objective of minimizing the cycle time is called TALBP-2. 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. On the basis of priority weight, the assignment of tasks is reasonable and the quality of an initial solution is high. In the IABC algorithm, two neighborhood strategies are embedded to balance the exploitation and exploration abilities of the algorithm. The employed bees and onlooker bees produce neighboring solutions in different promising regions to accelerate the convergence rate. Furthermore, a well-designed random strategy of scout bees is developed to escape local optima. The experimental results demonstrate that the proposed MaxTF rule performs better than other heuristic rules, as it can find the best solution for all the 10 test cases. A comparison of the IABC algorithm and other algorithms proves the effectiveness of the proposed IABC algorithm. The results also denote that the IABC algorithm is efficient and stable in minimizing the cycle time for the TALBP-2, and it can find 20 new best solutions among 25 large-sized problem cases.

关键词： 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

《机械工程前沿（英文）》 2011年第6卷第2期页码 197-202 doi: 10.1007/s11465-011-0211-5

摘要：

A new adaptive job-insertion based heuristic is presented to minimize the mean flowtime in a dynamic flowshop consisting of machines. Job orders arrive to the system randomly, and the job arrival or release dates are not known in advance. The heuristic is derived by inserting new jobs into the scheduled sequence as needed when the machine becomes free. Computation results indicate that the proposed heuristic performs 2.7%–10.8% better than the SPT dispatching rule, which is currently one of the most effective methods for minimizing the mean flowtime in dynamic flowshops.

关键词： scheduling dynamic flowshops flowtime heuristic mean flowtime

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HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

《信息与电子工程前沿（英文）》 2015年第16卷第5期页码 380-390 doi: 10.1631/FITEE.1400421

摘要： We propose a new constructive algorithm, called HAPE3D, which is a heuristic algorithm based on the principle of minimum total potential energy for the 3D irregular packing problem, involving packing a set of irregularly shaped polyhedrons into a box-shaped container with fixed width and length but unconstrained height. The objective is to allocate all the polyhedrons in the container, and thus minimize the waste or maximize profit. HAPE3D can deal with arbitrarily shaped polyhedrons, which can be rotated around each coordinate axis at different angles. The most outstanding merit is that HAPE3D does not need to calculate no-fit polyhedron (NFP), which is a huge obstacle for the 3D packing problem. HAPE3D can also be hybridized with a meta-heuristic algorithm such as simulated annealing. Two groups of computational experiments demonstrate the good performance of HAPE3D and prove that it can be hybridized quite well with a meta-heuristic algorithm to further improve the packing quality.

关键词： 3D packing problem Layout design Simulation Optimization Constructive algorithm Meta-heuristics

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KDD中双库协同机制的研究（Ⅱ）

杨炳儒,王建新,孙海洪

《中国工程科学》 2002年第4卷第5期页码 34-43

摘要：

在“KDD中双库协同机制的研究（Ⅰ）”的理论基础上，实现了对知识库的简约并实现了双库协同机制的两个协调器，从而建立了由KDD融入双库协同机制的新结构模型——KDD^*，这是一个在结构和功能上相对于KDD而言的开放的、优化的扩体。基于双库协同机制与KDD^*，提出了挖掘关联规则和聚类规则的新算法，充分体现了内在机理研究对主流发展的影响，开辟了一条全新的研究方向与路径。

关键词：知识发现双库协同机制启发型协调器中断型协调器 Maradbcm算法数值域划分算法

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求解复杂集装箱装载问题的新方法

王涛,魏凤

《中国工程科学》 2004年第6卷第12期页码 65-68

摘要：

提出了一种求解复杂集装箱装载问题的新方法，该方法将求解复杂装箱问题分成两步：首先，根据一定的启发式规则将集装箱进行体积最大化装载，并在深度方向根据货物将空间分层；然后，用遗传算法将各层进行重心位置最优化调整，使装载方案更加符合实际运输需要。实际应用结果表明，该方法在空间利用率、重心位置以及计算效率等方面都优于其他同类方法。

关键词：装载问题启发式重心遗传算法

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Optimal Method of Capacitated Lot-Sizing Planning in Manufacturing Systems

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

《机械工程前沿（英文）》 2006年第1卷第1期页码 67-70 doi: 10.1007/s11465-005-0020-9

摘要：

This paper analyzes the capacitated lot-sizing problem considering an individual machine s production capacity using a two-layer hierarchical method to minimize the sum of the dynamic inventory cost and the overtime penalty cost. The genetic algorithm, the parameter linear programming method, and a heuristic method were used in the developed method. The method uses the genetic operator to define the lot-sizing matrix (the first layer), linear programming to determine eachmachine' s schedule (the second layer) according to the lot-sizing matrix, and the heuristic method to verify the feasibility of the solutions by adjusting them to meet the constraint requirements. The scheduling of machines in a press shop demonstrates the effectiveness of the algorithm. The result shows that the algorithm is convergent.

关键词： heuristic two-layer hierarchical algorithm constraint developed

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Efficacy and safety of benralizumab in patients with eosinophilic asthma: a meta-analysis of randomized

null

《医学前沿（英文）》 2018年第12卷第3期页码 340-349 doi: 10.1007/s11684-017-0565-0

摘要：

Benralizumab is a monoclonal antibody that targets interleukin-5 receptor α to deplete blood eosinophils and improve the clinical outcomes of allergic asthma. We conducted a meta-analysis to evaluate the safety and efficacy of different doses of benralizumab in patients with eosinophilic asthma. All randomized controlled trials involving benralizumab treatment for patients with eosinophilic asthma, which were searched in PubMed, Embase, and the Cochrane Library published until January 2017, as well as the rate of asthmatic exacerbation, pulmonary functionality, asthma control, quality of life scores, and adverse events were included. Randomized-effect models were used in the meta-analysis to calculate the pooled mean difference, relative risks, and 95% confidence intervals. Five studies involving 1951 patients were identified. Compared with the placebo, benralizumab treatment demonstrated significant improvements in the forced expiratory volume in 1?s (FEV1), Asthma Quality of Life Questionnaire scores, decreased asthmatic exacerbation and Asthma Control Questionnaire-6 (ACQ-6) scores. Benralizumab treatment was also not associated with increased adverse events. These findings indicated that benralizumab can be safely used to improve FEV1, enhance patient symptom control and quality of life, and reduce the risk of exacerbations and ACQ-6 scores in patients with eosinophilic asthma. Furthermore, our meta-analysis showed that benralizumab with 30 mg (every eight weeks) dosage can improve the health-related quality of life and appear to be more effective than 30 mg (every four weeks) dosage. Overall, data indicated that the optimal dosing regimen for benralizumab was possibly 30 mg (every eight weeks).

关键词： benralizumab anti-interleukin-5 monoclonal antibody eosinophilic asthma meta-analysis

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Association between telomere length and survival in cancer patients: a meta-analysis and review of literature

null

《医学前沿（英文）》 2016年第10卷第2期页码 191-203 doi: 10.1007/s11684-016-0450-2

摘要：

The relationship between telomere length and cancer survival has been widely studied. To gain a deeper insight, we reviewed the published studies. A total of 29 studies evaluated telomere length in the peripheral blood; 22 studies evaluated telomere length in the tumor tissue. First, in the peripheral blood studies, for solid tumor patients with shortened telomere length, the combined hazard ratios (HRs) for mortality and tumor progression were 1.21 (95%CI, 1.10–1.32) and 1.71 (95%CI, 1.37–2.13), respectively. Meanwhile, in hematology malignancy, the combined HRs for mortality and tumor progression were 2.83 (95%CI, 2.14–3.74) and 2.65 (95%CI, 2.18–3.22), respectively. Second, in the studies that use tumor tissue, for patients with shortened telomeres, the combined HRs for mortality and tumor progression were 1.26 (95%CI, 0.95–1.66) and 1.65 (95%CI, 1.26–2.15), respectively. In the studies that calculate the telomere length ratios of tumor tissue to adjacent normal mucosa, for patients with lower telomere length ratios, the combined HRs were 0.66 (95%CI, 0.53–0.83) and 0.74 (95%CI, 0.41–1.32) for mortality and tumor progression, respectively. In conclusion, shortened telomere in peripheral blood and tumor tissue might indicate poor survival for cancer patients. However, by calculating the telomere length ratios of tumor tissue to adjacent normal mucosa, the lower ratio might indicate better survival.

关键词： telomere survival cancer meta-analysis

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Treatment outcomes of pulmonary tuberculosis in the past decade in the mainland of China: a meta-analysis

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《医学前沿（英文）》 2013年第7卷第3期页码 354-366 doi: 10.1007/s11684-013-0257-3

摘要：

Due to the implementation of directly observed treatment strategy (DOTS), China has made a significant achievement in tackling the tuberculosis (TB) epidemic in the 1990s. However, only half of regions in China met or exceeded the 85% rate of treatment success target. The aim of the present study is to summarize the treatment outcomes of smear-positive pulmonary TB in the mainland of China in the past decade using meta-analysis based on systematic review of published observational studies. A total of 50 eligible articles (58 studies) were identified and included in this study. The summarized treatment success rates were 93.9% (95% CI, 92.8%–94.7%) for new cases and 85.4% (95% CI, 83.0%–87.6%) for previously treated cases, and the summarized cured rate were 92.2% (95% CI, 90.9%–93.3%) and 81.2% (95% CI, 79.1%–83.1%), respectively. A remarkable increase of rates for treatment success and cure was observed in the 1990s. After 2000, the summarized treatment outcomes were tending towards stability. In addition, geographic areas, type of the data and administrative level of the hospital were also found to influence the estimates of the treatment outcomes. Results of the present study clearly show, in general, that the pulmonary TB treatment achieved significant success in the past decade in the mainland of China. However, it needs to be further strengthened in the central and west areas.

关键词： tuberculosis treatment outcome China meta-analysis