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An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning

Rongrit CHATTHAWORN,Surachai CHAITUSANEY

《信息与电子工程前沿(英文)》 2015年 第16卷 第10期   页码 871-882 doi: 10.1631/FITEE.1500049

摘要: We propose a new robust optimization approach to evaluate the impact of an intermittent renewable energy source on transmission expansion planning (TEP). The objective function of TEP is composed of the investment cost of the transmission line and the operating cost of conventional generators. A method to select suitable scenarios representing the intermittent renewable energy generation and loads is proposed to obtain robust expansion planning for all possible scenarios. A meta-heuristic algorithm called adaptive tabu search (ATS) is employed in the proposed TEP. ATS iterates between the main problem, which minimizes the investment and operating costs, and the subproblem, which minimizes the cost of power generation from conventional generators and curtailments of renewable energy generation and loads. The subproblem is solved by nonlinear programming (NLP) based on an interior point method. Moreover, the impact of an intermittent renewable energy source on TEP was evaluated by comparing expansion planning with and without consideration of a renewable energy source. The IEEE Reliability Test System 79 (RTS 79) was used for testing the proposed method and evaluating the impact of an intermittent renewable energy source on TEP. The results show that the proposed robust optimization approach provides a more robust solution than other methods and that the impact of an intermittent renewable energy source on TEP should be considered.

关键词: Adaptive tabu search     Renewable energy generation     Robust optimization     Transmission expansion planning    

放射检查流程执行中基于禁忌搜索的资源分配 None

Chun-hua HE

《信息与电子工程前沿(英文)》 2018年 第19卷 第3期   页码 446-458 doi: 10.1631/FITEE.1601802

摘要: 放射检查流程(radiological examination process,REP)执行中,为提高患者吞吐量和放射资源利用率,以及应对因临床需要而改变资源调度和分配决策时发生的突发事件,高效的资源调度和分配是关键。本文提出一种基于禁忌搜索的方法,用以解决REP执行中资源调度和分配问题。该方法主要目标是将平均检查流时间、资源平均空闲时间和延迟的加权总和最小化,同时还考虑突发事件的情形,即紧急或缺失的检查。对于特定参数组合,在考虑路由和资源约束等限制条件下,该方法能找到放射资源调度和分配的最优解。对应用案例进行了仿真,结果表明该方法能有效利用放射资源,提高REP执行中患者吞吐量。

关键词: 放射检查流程(REP);资源调度和分配;禁忌搜索    

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    

一种新的融合本体和主机信息的改进禁忌搜索算法的主题爬虫方法 Research Article

刘景发1,王震1,2,钟国1,杨志和1

《信息与电子工程前沿(英文)》 2023年 第24卷 第6期   页码 859-875 doi: 10.1631/FITEE.2200315

摘要: 为解决传统主题爬虫方法存在的主题描述不完整和重复爬取已访问链接的问题,本文提出一种新的融合本体和主机信息的改进禁忌搜索算法的主题爬虫方法(FCITS_OH)。该方法基于形式概念分析(FCA)构建领域本体,在语义和知识层面描述主题。为避免重复爬取已访问的链接和扩大搜索范围,提出一种改进的禁忌搜索(ITS)算法和记忆主机信息的策略。此外,为改进未访问链接的主题相关性的评估方法,提出一种基于Web文本和链接结构的综合优先度评估方法。以旅游和暴雨灾害为主题的实验结果表明,对于不同的性能指标,所提出的爬虫方法优于文献中其它主题爬虫策略。

关键词: 主题爬虫;禁忌搜索算法;本体;主机信息;优先度评估    

Enhanced solution representations for vehicle routing problems with split deliveries

《工程管理前沿(英文)》   页码 483-498 doi: 10.1007/s42524-023-0259-z

摘要: In this study, we investigate a forest-based solution representation for split delivery vehicle routing problems (SDVRPs), which have several practical applications and are among the most difficult vehicle routing problems. The new solution representation fully reflects the nature of split delivery, and can help reduce the search space when used in heuristic algorithms. Based on the forest structure, we devise three neighborhood search operators. To highlight the effectiveness of this solution representation, we integrate these operators into a standard tabu search framework. We conduct extensive experiments on three main SDVRPs addressed in the literature: The basic SDVRP, the multidepot SDVRP, and the SDVRP with time windows. The experimental results show that the new forest-based solution representation is particularly effective in designing and implementing neighborhood operators, and that our new approach outperforms state-of-the-art algorithms on standard datasets.

关键词: vehicle routing     multidepot     time windows     tabu search     split delivery    

A simple multi-wave algorithm for the uncapacitated facility location problem

Fred GLOVER, Saïd HANAFI, Oualid GUEMRI, Igor CREVITS

《工程管理前沿(英文)》 2018年 第5卷 第4期   页码 451-465 doi: 10.15302/J-FEM-2018038

摘要:

The multi-wave algorithm (Glover, 2016) integrates tabu search and strategic oscillation utilizing repeated waves (nested iterations) of constructive search or neighborhood search. We propose a simple multi-wave algorithm for solving the Uncapacitated Facility Location Problem (UFLP) to minimize the combined costs of selecting facilities to be opened and of assigning each customer to an opened facility in order to meet the customers’ demands. The objective is to minimize the overall cost including the costs of opening facilities and the costs of allocations. Our experimental tests on a standard set of benchmarks for this widely-studied class of problems show that our algorithm outperforms all previous methods.

关键词: discrete optimization     UFLP     multi-wave optimization     strategic oscillation     tabu search    

MSSSA:一种针对全局优化问题的多策略增强型麻雀搜索算法 Research Article

孟凯1,2,陈晨1,2,辛斌1,2

《信息与电子工程前沿(英文)》 2022年 第23卷 第12期   页码 1828-1847 doi: 10.1631/FITEE.2200237

摘要: 麻雀搜索算法(SSA)是一种新的元启发式优化方法,具有简单和灵活的优点。然而,在处理多模态优化问题时,该算法仍存在早熟收敛、探索与开发不平衡等缺陷。针对上述问题,本文提出一种多策略增强的麻雀搜索算法(MSSSA)。首先,引入混沌映射以获取高质量的初始种群,并采用对立学习策略增加种群的多样性。其次,设计了一种自适应参数控制策略,以在全局探索与局部开发之间保持适当的平衡。最后,在个体更新阶段嵌入混合扰动机制,以避免算法陷入局部最优。为了验证所提方法的有效性,在IEEE CEC2014和IEEE CEC2019测试集的40个函数,以及10个不同维度的经典函数上进行了大量的实验。实验结果表明,与一些先进的算法相比,所提出的MSSSA表现出突出的优化性能。该算法还成功地应用于两个工程优化问题,证明了MSSSA在解决实际问题方面的优越性。

关键词: 群智能;麻雀搜索算法;自适应参数控制策略;混合扰动机制;优化问题    

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

《结构与土木工程前沿(英文)》   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    

基于自适应文化基因算法的无人机搜救规划 Research Articles

洪立斌1,王玥2,杜怡辰2,陈鑫1,郑宇军1

《信息与电子工程前沿(英文)》 2021年 第22卷 第11期   页码 1477-1491 doi: 10.1631/FITEE.2000632

摘要: 无人机在搜救任务中的应用日益广泛,然而由于响应时间有限、搜索区域广、搜索模式多样,无人机搜索规划也更加复杂。本文提出一类无人机搜索规划问题,其搜索区域被划分为一组子区域,且每个子区域中目标存在的先验概率已知。解决该问题需要确定这些子区域的搜索顺序以及每个子区域的搜索模式,使得最终搜索成功的概率最大化。提出一种自适应文化基因算法,它结合了遗传算法和一组邻域搜索策略,基于问题求解过程中的适应度提升和多样性提升指标,动态选择邻域搜索策略。在多个问题实例上的计算实验表明,与先进的全局搜索启发式算法以及非自适应文化基因算法相比,所提算法展现了出色性能。

关键词: 文化基因算法;自适应;无人机;搜救    

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    

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    

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    

Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

《机械工程前沿(英文)》 2021年 第16卷 第2期   页码 271-284 doi: 10.1007/s11465-020-0623-1

摘要: Legged robots have potential advantages in mobility compared with wheeled robots in outdoor environments. The knowledge of various ground properties and adaptive locomotion based on different surface materials plays an important role in improving the stability of legged robots. A terrain classification and adaptive locomotion method for a hexapod robot named Qingzhui is proposed in this paper. First, a force-based terrain classification method is suggested. Ground contact force is calculated by collecting joint torques and inertial measurement unit information. Ground substrates are classified with the feature vector extracted from the collected data using the support vector machine algorithm. Then, an adaptive locomotion on different ground properties is proposed. The dynamic alternating tripod trotting gait is developed to control the robot, and the parameters of active compliance control change with the terrain. Finally, the method is integrated on a hexapod robot and tested by real experiments. Our method is shown effective for the hexapod robot to walk on concrete, wood, grass, and foam. The strategies and experimental results can be a valuable reference for other legged robots applied in outdoor environments.

关键词: terrain classification     hexapod robot     legged robot     adaptive locomotion     gait control    

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.

Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

《结构与土木工程前沿(英文)》 2007年 第1卷 第4期   页码 474-480 doi: 10.1007/s11709-007-0064-5

摘要: The conservation and adaptive-reuse of historical industrial building is one of the most important issues to be solved in today s urban development and construction in China. In this paper, the necessity and academic meaning of the conservation and adaptive-reuse of historical industrial building were discussed by reviewing its development rend both at home and abroad, and the basic contents of the implementation of the conservation and adaptive-reuse of historical industrial building in China with specific cases provided were analyzed. It is the central task for China to put forward the restructuring and design methods, assessment principles and relevant core technical specifications based on the empirical researches on the historical industrial building and site.

关键词: historical industrial     industrial building     implementation     adaptive-reuse     empirical    

标题 作者 时间 类型 操作

An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning

Rongrit CHATTHAWORN,Surachai CHAITUSANEY

期刊论文

放射检查流程执行中基于禁忌搜索的资源分配

Chun-hua HE

期刊论文

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

Friederike WALL

期刊论文

一种新的融合本体和主机信息的改进禁忌搜索算法的主题爬虫方法

刘景发1,王震1,2,钟国1,杨志和1

期刊论文

Enhanced solution representations for vehicle routing problems with split deliveries

期刊论文

A simple multi-wave algorithm for the uncapacitated facility location problem

Fred GLOVER, Saïd HANAFI, Oualid GUEMRI, Igor CREVITS

期刊论文

MSSSA:一种针对全局优化问题的多策略增强型麻雀搜索算法

孟凯1,2,陈晨1,2,辛斌1,2

期刊论文

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

期刊论文

基于自适应文化基因算法的无人机搜救规划

洪立斌1,王玥2,杜怡辰2,陈鑫1,郑宇军1

期刊论文

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

Roozbeh MORSALI,Tohid JAFARI,Amirhossein GHODS,Mohammad KARIMI

期刊论文

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

Babak DIZANGIAN, Mohammad Reza GHASEMI

期刊论文

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

LIU Jinguo, WANG Yuechao, LI Bin, MA Shugen

期刊论文

Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

期刊论文

Erratum to: Efficient keyword search over graph-structured data based on minimal covered

Asieh Ghanbarpour, Abbas Niknafs, Hassan Naderi,naderi@iust.ac.ir

期刊论文

Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

期刊论文