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Matlab 1

Powell法 1

RGB-D 1

丙烯 1

主题爬虫；禁忌搜索算法；本体；主机信息；优先度评估 1

人工智能 1

传感器融合 1

传播动力学模型 1

全局边界搜索 1

关键字搜索；图挖掘；信息检索；数据库；子团 1

几何构造 1

分布式人工智能云端平台 1

卷积神经网络；高斯过程；混合模型；超参数优化；混合变量；粒子群优化 1

变时步法 1

可搜索公钥加密；带关键字搜索的无证书公钥加密；双线性对；计算性Diffie-Hellman问题 1

吉布斯能 1

和声搜索算法；布谷鸟搜索算法；全局收敛；函数优化；权重模糊产生式规则抽取 1

固定边界布图规划；修正的模拟退火算法；全局搜索；溢出面积模型；B*-tree表示法 1

地图搜索；区域搜索；区域推荐；空间关键字搜索；地理信息系统；基于位置的服务 1

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A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI

《结构与土木工程前沿（英文）》 2018年第12卷第1期页码 44-57 doi: 10.1007/s11709-016-0382-6

摘要： This paper presents an efficient hybrid control approach through combining the idea of proportional-integral-derivative (PID) controller and linear quadratic regulator (LQR) control algorithm. The proposed LQR-PID controller, while having the advantage of the classical PID controller, is easy to implement in seismic-excited structures. Using an optimization procedure based on a cuckoo search (CS) algorithm, the LQR-PID controller is designed for a seismic- excited structure equipped with an active tuned mass damper (ATMD). Considering four earthquakes, the performance of the proposed LQR-PID controller is evaluated. Then, the results are compared with those given by a LQR controller. The simulation results indicate that the LQR-PID performs better than the LQR controller in reduction of seismic responses of the structure in the terms of displacement and acceleration of stories of the structure.

关键词： seismic control tuned mass dampers cuckoo search PID controller LQR controller

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一种改进的和声搜索算法及其在权重模糊产生式规则获取中的应用 Research Article

叶绍强1,周恺卿1,Azlan Mohd ZAIN2,王方岭1,Yusliza YUSOFF2

《信息与电子工程前沿（英文）》 2023年第24卷第11期页码 1574-1590 doi: 10.1631/FITEE.2200334

摘要：和声搜索算法(harmony search, HS)是一种随机元启发式算法，其灵感来自于音乐家的即兴创作过程。针对HS在求解中易陷入局部极值等不足，本文提出一种混合布谷鸟算子的改进的和声布谷鸟搜索算法(modified HS with a hybrid cuckoo search (CS) operator,

关键词：和声搜索算法；布谷鸟搜索算法；全局收敛；函数优化；权重模糊产生式规则抽取

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

Reza TEIMOURI, Hamed SOHRABPOOR

《机械工程前沿（英文）》 2013年第8卷第4期页码 429-442 doi: 10.1007/s11465-013-0277-3

摘要：

Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.

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

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

Friederike WALL

《信息与电子工程前沿（英文）》 2016年第17卷第4期页码 283-295 doi: 10.1631/FITEE.1500306

摘要： In this paper, the effects of altering the organizational setting of distributed adaptive search processes in the course of search are investigated. We put particular emphasis on the complexity of interactions between partial search problems assigned to search agents. Employing an agent-based simulation based on the framework of NK landscapes we analyze different temporal change modes of the organizational set-up. The organizational properties under change include, for example, the coordination mechanisms among search agents. Results suggest that inducing organizational dynamics has the potential to increase the effectiveness of distributed adaptive search processes with respect to various performance measures like the final performance achieved at the end of the search, the chance to find the optimal solution of the search problem, or the average performance per period achieved during the search process. However, results also indicate that the mode of temporal change in conjunction with the complexity of the search problem considerably affects the order of magnitude of these beneficial effects. In particular, results suggest that organizational dynamics induces a shift towards more exploration, i.e., discovery of new areas in the fitness landscape, and less exploitation, i.e., stepwise improvement.

关键词： Agent-based simulation Complexity Coordination Distributed search NK landscapes

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海上搜救打捞装备发展研究

弓永军,孙玉清,李华军,董传明,张增猛

《中国工程科学》 2024年第26卷第2期页码 50-62 doi: 10.15302/J-SSCAE-2024.02.001

摘要：

搜救打捞是海上安全的最后一道防线，为国家综合运输体系建设、海洋经济可持续发展提供可靠保障；搜救打捞装备是履行海上人员安全、环境安全、财产救助、应急抢险打捞等公益性职责，保障国家海上物流供应链安全的重要支撑。本文从目标搜寻定位与探测装备、海上人命救助装备、海上环境救助装备、打捞工程专用装备四方面着手，全面梳理了国外海上搜救打捞装备的发展现状，以及我国海上搜救打捞装备的研制与应用进展。与国外发达国家相比，我国海上搜救打捞装备发展存在搜寻定位装备落后、海上人命救助能力不强、危化品处置能力较低、大吨位沉船打捞能力薄弱等问题。在进一步辨识海上搜救打捞装备发展前沿的基础上，提出了加大关键装备的研发投入、推动搜救打捞装备的升级迭代、强化科技创新能力以提升装备智能化水平、部署搜救打捞技术装备攻关工程、提供相应产业政策支持等建议，以期促进我国海上搜救打捞装备高质量发展。

关键词：搜救打捞；搜寻定位；人命救助；环境救助；升沉补偿技术

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

《结构与土木工程前沿（英文）》 2023年第17卷第9期页码 1310-1325 doi: 10.1007/s11709-023-0997-3

摘要： Concrete is the most commonly used construction material. However, its production leads to high carbon dioxide (CO₂) emissions and energy consumption. Therefore, developing waste-substitutable concrete components is necessary. Improving the sustainability and greenness of concrete is the focus of this research. In this regard, 899 data points were collected from existing studies where cement, slag, fly ash, superplasticizer, coarse aggregate, and fine aggregate were considered potential influential factors. The complex relationship between influential factors and concrete compressive strength makes the prediction and estimation of compressive strength difficult. Instead of the traditional compressive strength test, this study combines five novel metaheuristic algorithms with extreme gradient boosting (XGB) to predict the compressive strength of green concrete based on fly ash and blast furnace slag. The intelligent prediction models were assessed using the root mean square error (RMSE), coefficient of determination (R²), mean absolute error (MAE), and variance accounted for (VAF). The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded the best overall prediction performance with R² values of 0.9930 and 0.9576, VAF values of 99.30 and 95.79, MAE values of 0.52 and 2.50, RMSE of 1.34 and 3.31 for the training and testing sets, respectively. The remaining five prediction methods yield promising results. Therefore, the developed hybrid XGB model can be introduced as an accurate and fast technique for the performance prediction of green concrete. Finally, the developed SSA-XGB considered the effects of all the input factors on the compressive strength. The ability of the model to predict the performance of concrete with unknown proportions can play a significant role in accelerating the development and application of sustainable concrete and furthering a sustainable economy.

关键词： sustainable concrete fly ash slay extreme gradient boosting technique squirrel search algorithm parametric analysis

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

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

《能源前沿（英文）》 2014年第8卷第3期页码 297-304 doi: 10.1007/s11708-014-0309-7

摘要： In this context, a novel structure was proposed for improving harmony search (HS) algorithm to solve the unit comment (UC) problem. The HS algorithm obtained optimal solution for defined objective function by improvising, updating and checking operators. In the proposed improved self-adaptive HS (SGHS) algorithm, two important control parameters were adjusted to reach better solution from the simple HS algorithm. The objective function of this study consisted of operation, start-up and shut-down costs. To confirm the effectiveness, the SGHS algorithm was tested on systems with 10, 20, 40 and 60 generating units, and the obtained results were compared with those of the simple HS algorithm and other related works.

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

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

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

《机械工程前沿（英文）》 2007年第2卷第4期页码 404-416 doi: 10.1007/s11465-007-0070-2

摘要： Frequent natural disasters and man-made catastrophes have threatened the safety of citizens and have attracted much more attention. The rescue mission under disaster environment is very complicated and dangerous for a rescue team. Search and rescue (SAR) robots can not only improve the efficiency of rescue operations but also reduce the casualty of rescuers. Robots can help rescue teams and even replace rescuers to perform dangerous missions. Search 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 countries has been provided. According to current research, experiences and the lessons learned from applications, the five key performances of a search and rescue robot are survivability, mobility, sensing, communicability and operability. Multi-technique fusion and multi-agent intelligent network are considered to be requirements for the future development of the search and rescue robot. Disaster prevention, disaster reduction and disaster rescue are the important parts of national public safety. They are also crucial for the safety of citizens and their estates. Search and rescue robotic technique is an urgent needed, strategic and core technique for national development. It will be important and strategic for national economy and safety.

关键词： national development communicability mobility national intelligent network

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

Babak DIZANGIAN, Mohammad Reza GHASEMI

《结构与土木工程前沿（英文）》 2019年第13卷第1期页码 123-134 doi: 10.1007/s11709-018-0478-2

摘要： This paper proposes a sensitivity-based border-search and jump reduction method for optimum design of spatial trusses. It is considered as a two-phase optimization approach, where at the first phase, the first local optimum is found by few analyses, after the whole searching space is limited employing an efficient random strategy, and the second phase involves finding a sequence of local optimum points using the variables sensitivity with respect to corresponding values of constraints violation. To reach the global solution at phase two, a sequence of two sensitivity-based operators of border-search operator and jump operator are introduced until convergence is occurred. Sensitivity analysis is performed using numerical finite difference method. To do structural analysis, a link between open source software of OpenSees and MATLAB was developed. Spatial truss problems were attempted for optimization in order to show the fastness and efficiency of proposed technique. Results were compared with those reported in the literature. It shows that the proposed method is competitive with the other optimization methods with a significant reduction in number of analyses carried.

关键词： optimum design sensitivity analysis reduction method spatial trusses OpenSees

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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

《信息与电子工程前沿（英文）》 2020年第21卷第6期页码 809-962 doi: 10.1631/FITEE.18e0133

摘要： 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

《环境科学与工程前沿（英文）》 2011年第5卷第1期页码 111-118 doi: 10.1007/s11783-011-0285-7

摘要： Through human history, wealth has been measured in grain, gold, and, now, dollars. Though counterfeiting of coins and notes goes back a long way, it is only with electronic financial accounting in a global economy tainted by toxic loans and imaginary funds that there is an urgency to search for a realistic objective way to monitor and regulate what we are doing to our Earth and ourselves. Various schemes using analysis of utility functions, oil equivalents, entropy, energy, and other units have been tried and, while helping to understand some basic processes and flows, have always been swamped by the machinations of financiers and the attention big sums of money attract. Now, the concept of exergy, pioneered in Eastern Europe in the 1950s, is being researched, developed, and applied, especially in China, driven by the desperation to measure the reality beyond the twin specters of global financial and environmental crises. A rough inventory of the matter in the biosphere at the coordinate details of an angstrom and an appreciation of how humans harness and manipulate electromagnetic forces can be enlightening as to what is and is not sustainable. Without that understanding, any financial estimate and proposed stimulus packages or IMF reform will be wildly wrong and may even be headed in the wrong direction.

关键词： climate change financial crisis energy exergy environment

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地图关键字密集区域搜索技术 Article

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

《信息与电子工程前沿（英文）》 2017年第18卷第10期页码 1543-1555 doi: 10.1631/FITEE.1600043

摘要：本文提出一种不规则区域检索算法DRS（dense region search）及其扩展形式，可高效预估搜索区域关键字密度，从而快速找到感兴趣的区域。

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红外成像技术在城市地下空间防灾监测与应急搜救中的应用发展对策

王新赛,周丰俊,郑磊,贺菁

《中国工程科学》 2017年第19卷第6期页码 92-99 doi: 10.15302/J-SSCAE-2017.06.014

摘要：

城市地下空间已经成为全球发展最快的工程建设和商业运营市场，我国城市地下工程建设水平和规模也达到了世界先进水平，但随之而来的城市地下空间的安全事故也明显增加，而相应的安全监控和应急救援却严重滞后，本文针对我国城市地下空间防恐、防爆、防核生化袭击等安全保障问题，分析红外成像技术在地下空间防灾监测与应急搜救中面临的挑战，提出了短波红外成像、多尺度红外成像预处理、图像自适应增强、环境自适应红外成像、灾情定位及报警等关键技术及其系统应用，探讨了红外成像技术在地下空间灾场的应用,可为我国城市地下空间安全立法和战略规划的制定提供参考。

关键词：红外成像防灾监测应急搜救对策城市地下空间

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基于r-子团最小覆盖的图结构数据高效关键字搜索 Article

Asieh GHANBARPOUR, Khashayar NIKNAFS, Hassan NADERI

《信息与电子工程前沿（英文）》 2020年第21卷第3期页码 448-464 doi: 10.1631/FITEE.1800133

摘要：对图结构数据的查询，关键字搜索是结构化查询语言的一种替代方式。关键字查询的结果是图结构数据上一个连接的结构，其覆盖所有或部分关键字。文本覆盖率和结构紧凑性是评价关键字查询结果是否相关的两个主要属性。以往研究通过排序函数对比所有候选结果的上述属性。但是，该过程耗时长，不符合人们在交互系统中短时得到返回结果的需求。近期研究通过在搜索过程中限制搜素结果的结构形状并考察其覆盖率和紧凑性来解决上述问题。然而，这些方法仍无法解决检索结果中存在冗余节点的问题。本文针对关键字查询结果提出基于r-子团最小覆盖（minimal covered r-clique, MCCr）的概念，作为现有定义的扩展模型，并给出高效算法以检测给定查询的MCCr。这些算法的优势在于不仅可以检索出某个关键字查询的全部非重复MCCr，还可以分布式方式执行。此外，提出这些算法的近似版本，以多项式时间复杂度检索最高的k个近似MCCr。论文表明近似算法可基于成对近似排序检索出结果。基于两个真实数据集的大量实验验证了所提算法的效率和有效性。

关键词：关键字搜索；图挖掘；信息检索；数据库；子团

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

《结构与土木工程前沿（英文）》 2023年第17卷第3期页码 378-395 doi: 10.1007/s11709-022-0899-9

摘要： This paper presents a combined method based on optimized neural networks and optimization algorithms to solve structural optimization problems. The main idea is to utilize an optimized artificial neural network (OANN) as a surrogate model to reduce the number of computations for structural analysis. First, the OANN is trained appropriately. Subsequently, the main optimization problem is solved using the OANN and a population-based algorithm. The algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithm (GA). Finally, the abovementioned problem is solved using the optimal point obtained from the previous step and the pattern search (PS) algorithm. To evaluate the performance of the proposed method, two numerical examples are considered. In the first example, the performance of two algorithms, OANN + AOA + PS and OANN + GA + PS, is investigated. Using the GA reduces the elapsed time by approximately 50% compared with using the AOA. Results show that both the OANN + GA + PS and OANN + AOA + PS algorithms perform well in solving structural optimization problems and achieve the same optimal design. However, the OANN + GA + PS algorithm requires significantly fewer function evaluations to achieve the same accuracy as the OANN + AOA + PS algorithm.

关键词： optimization surrogate models artificial neural network SAP2000 genetic algorithm