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Structural Design Optimization Based on the Moving Baseline Strategy 认领
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作者 Xiaojun Wang Qiang Ren +3 位作者 Wenpin Chen Yisi Liu Lei Wang Xuyun Ding 《固体力学学报:英文版》 SCIE EI CSCD 2020年第3期307-326,共20页
Structural design optimization has always been a topic of concern in industry because good design can improve the safety and economic efficiency of structures during their service periods.Selecting the appropriate opt... Structural design optimization has always been a topic of concern in industry because good design can improve the safety and economic efficiency of structures during their service periods.Selecting the appropriate optimization algorithm is the key to solving structural optimal design problems.In this study,a new global optimization idea is proposed and named the moving baseline strategy.A baseline is initially set and will be repeatedly moving upward or downward to approach the optimal value.The proposed strategy is a simple but effective,general,and stable algorithm that can be used to solve constrained and unconstrained structural optimization problems.Different from traditional gradient-based,stochastic and heuristic algorithms,the developed algorithm provides a completely new idea to solve global or local optimization problems.Some unconstrained and constrained numerical benchmark examples are used to test the proposed methodology.In addition,structural optimal design problems of a ten-bar planar truss structure and a hypersonic wing structure(X-37B)are utilized to verify the effectiveness of the developed strategy in addressing structural design optimization problems in engineering. 展开更多
关键词 Structural design Global optimization Optimization algorithm Moving baseline strategy Constrained optimization
Machine Learning Prediction for 50 Anti-Cancer Food Molecules from 968 Anti-Cancer Drugs 认领
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作者 Simiao Zhao Xuanyue Mao +2 位作者 Hanghong Lin Hao Yin Peixuan Xu 《智能科学国际期刊(英文)》 2020年第1期1-8,共8页
Cancer-beating molecules (CBMs) are abundant in many types of food and potentially anti-cancer therapeutic agents. In the previous work, researchers introduced a network-based machine learning platform to identify the... Cancer-beating molecules (CBMs) are abundant in many types of food and potentially anti-cancer therapeutic agents. In the previous work, researchers introduced a network-based machine learning platform to identify the cancer-beating molecules, for example,?comparing the similarities in the molecular network between approved anticancer drug and food molecules. Herein, we aim to build on this work to enhance the accuracy of predicting food molecules. In this project, we improve supervised learning approaches by applying Soft Voting algorithm to seven machine learning algorithms: Support Vector Machine with Radial Basis Function (SVM with RBF kernel), multilayer perceptron neural network?(MLP), Random forest, Decision trees,?Gaussian Naive Bayes, Adaboosting, and Bagging. As a result, the accuracy in the dataset of 50 food molecules utilized increased from 82% to 87%, achieving a significant improvement in the precision of?predicting anti-cancer molecules. 展开更多
关键词 MACHINE LEARNING FOOD ANTI-CANCER Optimization
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Harmony search optimization applied to reservoir engineering assisted history matching 认领
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作者 SHAMS Mohamed EL-BANBI Ahmed SAYYOUH Helmy 《石油勘探与开发:英文版》 2020年第1期154-160,共7页
Based on the analysis of characteristics and advantages of HSO(harmony search optimization) algorithm, HSO was used in reservoir engineering assisted history matching of Kareem reservoir in Amal field in the Gulf of S... Based on the analysis of characteristics and advantages of HSO(harmony search optimization) algorithm, HSO was used in reservoir engineering assisted history matching of Kareem reservoir in Amal field in the Gulf of Suez, Egypt. HSO algorithm has the following advantages:(1) The good balance between exploration and exploitation techniques during searching for optimal solutions makes the HSO algorithm robust and efficient.(2) The diversity of generated solutions is more effectively controlled by two components, making it suitable for highly non-linear problems in reservoir engineering history matching.(3) The integration between the three components(harmony memory values, pitch adjusting and randomization) of the HSO helps in finding unbiased solutions.(4) The implementation process of the HSO algorithm is much easier. The HSO algorithm and two other commonly used algorithms(genetic and particle swarm optimization algorithms) were used in three reservoir engineering history match questions of different complex degrees, which are two material balance history matches of different scales and one reservoir history matching. The results were compared, which proves the superiority and validity of HSO. The results of Kareem reservoir history matching show that using the HSO algorithm as the optimization method in the assisted history matching workflow improves the simulation quality and saves solution time significantly. 展开更多
关键词 reservoir engineering ASSISTED history MATCHING OPTIMIZATION ALGORITHM HARMONY SEARCH OPTIMIZATION ALGORITHM
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A Framework for an Energy-Efficient Bandwidth Allocation Approach through Dynamic ONTs Grouping in Flexible GPON Access Networks 认领
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作者 Ali A. Hammadi 《通讯、网络与系统学国际期刊(英文)》 2020年第1期1-14,共14页
The growing demands for high speed connectivity to keep pace with bandwidth intensive applications and services have spawned the idea of developing PONs with capabilities beyond those of copper and wireless-based tech... The growing demands for high speed connectivity to keep pace with bandwidth intensive applications and services have spawned the idea of developing PONs with capabilities beyond those of copper and wireless-based technologies in access network. In this article, an approach for the design of an energy efficient bandwidth allocation mechanism for the shared upstream communication link in the Fiber to the Home (FTTH) access network is presented and evaluated using Mixed Integer Linear Programming (MILP) model. In the MILP model, two objective functions for minimization of power consumption and minimization of blocking were evaluated. The results have shown that with the objective of power minimization approach, Optical Network Terminals (ONTs) are efficiently grouped to the minimum number of active networking Optical Line Terminal (OLT) switches, traffic is groomed, ports are efficiently utilized, and hence total power consumption is minimized. Results have shown that with energy efficient bandwidth allocation approach consideration, energy savings can reach up to 80% for different examined traffic loads following uniform distribution. 展开更多
关键词 Fiber to the Home (FTTH) GIGA Passive Optical Network (GPON) Energy Efficiency BLOCKING PROBABILITY Optimization
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Global Fine Registration of Point Cloud in LiDAR SLAM Based on Pose Graph 认领
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作者 Li YAN Jicheng DAI +2 位作者 Junxiang TAN Hua LIU Changjun CHEN 《测绘学报:英文版》 2020年第2期26-35,共10页
The laser scanning system based on Simultaneous Localization and Mapping(SLAM)technology has the advantages of low cost,high precision and high efficiency.It has drawn wide attention in the field of surveying and mapp... The laser scanning system based on Simultaneous Localization and Mapping(SLAM)technology has the advantages of low cost,high precision and high efficiency.It has drawn wide attention in the field of surveying and mapping in recent years.Although real-time data acquisition can be achieved using SLAM technology,the precision of the data can’t be ensured,and inconsistency exists in the acquired point cloud.In order to improve the precision of the point cloud obtained by this kind of system,this paper presents a hierarchical point cloud global optimization algorithm.Firstly,the“point-to-plane”iterative closest point(ICP)algorithm is used to match the overlapping point clouds to form constraints between the trajectories of the scanning system.Then a pose graph is constructed to optimize the trajectory.Finally,the optimized trajectory is used to refine the point cloud.The computational efficiency is improved by decomposing the optimization process into two levels,i.e.local level and global level.The experimental results show that the RMSE of the distance between the corresponding points in overlapping areas is reduced by about 50%after optimization,and the internal inconsistency is effectively eliminated. 展开更多
关键词 point cloud refine Simultaneous Localization and Mapping global optimization graph optimization iterative closest point
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Optimization and Sizing of a Stand-Alone Photovoltaic System and Assessment of Random Load Fluctuation on Power Supply 认领
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作者 Leonard Akana Nguimdo Clinton Kum 《能源与动力工程(英文)》 2020年第1期28-43,共16页
This study presents an optimization technique and design for a stand-alone photovoltaic (PV) system to provide the required electricity for a single residential household in remote areas. From the basic solar componen... This study presents an optimization technique and design for a stand-alone photovoltaic (PV) system to provide the required electricity for a single residential household in remote areas. From the basic solar components analysis, the irradiance on tilted surface is derived and compared to that on horizontal surface for Furu-Awa locality to infer the appropriate tilt angle (β) that maximizes the collection of solar energy. Seven optimum values of β applicable to the PV network were then derived depending of the period of the year and this simulation resulted that the panels are to be adjusted seven times a year. The optimization technique for load demand based on total apparent power of the household appliances produces an increase of 18% compared to the simple case of the PV components design using active power but leads to the optimum configuration that meets the real load demand of the household. Following the sizing of the station, reliability tests simulations were conducted for a one year corresponding period to infer the sensitivity of power supply to initial state of charge, to check the system autonomy and to evaluate the effect of random variation of the load on the smooth functioning of the PV system using a pseudo random number generator. This analysis shows that the minimum capacity of the battery for normal run of the Plan is 22.2% and that with random fluctuation of load, there will be periods of the year where the system experiences power failure depending on how important is the variation. The result of the study may imply a small increase in the cost of the entire plant but improves the stability and flexibility of such a station. 展开更多
关键词 Photovoltaic System OPTIMIZATION APPARENT Power TILT Angle State of Charge Random Numbers Generator
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Constructal design progress for eight types of heat sinks 认领
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作者 CHEN LinGen YANG AiBo +2 位作者 FENG HuiJun GE YanLin XIA ShaoJun 《中国科学:技术科学英文版》 SCIE EI CAS CSCD 2020年第6期879-911,共33页
This review paper summarizes constructal design progress performed by the authors for eight types of heat sinks with ten performance indexes being taken as the optimization objectives,respectively,by combining the met... This review paper summarizes constructal design progress performed by the authors for eight types of heat sinks with ten performance indexes being taken as the optimization objectives,respectively,by combining the methods of theoretical analysis and numerical calculation.The eight types of heat sinks are uniform height rectangular fin heat sink,non-uniform height rectangular fin heat sink,inline cylindrical pin-fin heat sink(ICPHS),plate single-row pin fin heat sink(PSRPHS),plate inline pin fin heat sink(PIPHS),plate staggered pin fin heat sink(PSPHS),single-layered microchannel heat sink(SLMCHS)with rectangular cross sections and double-layered microchannel heat sink(DLMCHS)with rectangular cross sections,respectively.And the ten performance indexes are heat transfer rate maximization,maximum thermal resistance minimization,minimization of equivalent thermal resistance which is defined based on the entransy dissipation rate(equivalent thermal resistance for short),field synergy number maximization,entropy generation rate minimization,operation cost minimization,thermo-economic function value minimization,pressure drop minimization,enhanced heat transfer factor maximization and efficiency evaluation criterion number maximization,respectively.The optimal constructs of the eight types of heat sinks with different constraints and based on the different optimization objectives are compared with each other.The results indicated that the optimal constructs mostly are different based on different optimization objectives under the same boundary condition.The optimization objective should be suitable chosen based on the focus when the constructal design for one heat sink is performed.The results obtained herein have some important theoretical significances and application values,and can provide scientific bases and theoretical guidelines for the thermal design of real heat sinks and their applications. 展开更多
关键词 constructal theory entropy generation minimization principle field synergy principle extremum principle of entransy dissipation generalized thermodynamic optimization multi-objective optimization of heat sinks
Rotary-scaling fine-tuning (RSFT) method for optimizing railway wheel profiles and its application to a locomotive 认领
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作者 Yunguang Ye Yayun Qi +3 位作者 Dachuan Shi Yu Sun Yichang Zhou Markus Hecht 《铁道工程科学:英文版》 2020年第2期160-183,共24页
The existing multi-objective wheel profile optimization methods mainly consist of three sub-modules:(1)wheel profile generation,(2)multi-body dynamics simulation,and(3)an optimization algorithm.For the first module,a ... The existing multi-objective wheel profile optimization methods mainly consist of three sub-modules:(1)wheel profile generation,(2)multi-body dynamics simulation,and(3)an optimization algorithm.For the first module,a comparably conservative rotary-scaling finetuning(RSFT)method,which introduces two design variables and an empirical formula,is proposed to fine-tune the traditional wheel profiles for improving their engineering applicability.For the second module,for the TRAXX locomotives serving on the Blankenburg–Rubeland line,an optimization function representing the relationship between the wheel profile and the wheel–rail wear number is established based on Kriging surrogate model(KSM).For the third module,a method combining the regression capability of KSM with the iterative computing power of particle swarm optimization(PSO)is proposed to quickly and reliably implement the task of optimizing wheel profiles.Finally,with the RSFT–KSM–PSO method,we propose two wear-resistant wheel profiles for the TRAXX locomotives serving on the Blankenburg–Rubeland line,namely S1002-S and S1002-M.The S1002-S profile minimizes the total wear number by 30%,while the S1002-M profile makes the wear distribution more uniform through a proper sacrifice of the tread wear number,and the total wear number is reduced by 21%.The quasi-static and hunting stability tests further demonstrate that the profile designed by the RSFT–KSM–PSO method is promising for practical engineering applications. 展开更多
关键词 Wheel profile optimization Wear reduction Rotary-scaling fine-tuning Particle swarm optimization Kriging surrogate model
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Hybrid algorithms for handling the numerical noise in topology optimization 认领
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作者 Pooya Rostami Javad Marzbanrad 《力学学报:英文版》 SCIE EI CAS CSCD 2020年第2期536-554,共19页
This paper presents new hybrid methods for the identification of optimal topologies by combining the teaching-learning based optimization(TLBO)and the method of moving asymptotes(MMA).The topology optimization problem... This paper presents new hybrid methods for the identification of optimal topologies by combining the teaching-learning based optimization(TLBO)and the method of moving asymptotes(MMA).The topology optimization problem is parameterizing with a low dimensional explicit method called moving morphable components(MMC),to make the use of evolutionary algorithms more efficient.Gradient-based solvers have good performance in solving large-scale topology optimization problems.However,in unconventional cases same as crashworthiness design in which there is numerical noise in the gradient information,the uses of these algorithms are unsuitable.The standard evolutionary algorithms can solve such problems since they don’t need gradient information.However,they have a high computational cost.This paper is based upon the idea of combining metaheuristics with mathematical programming to handle the probable noises and have faster convergence speed.Due to the ease of computations,the compliance minimization problem is considered as the case study and the artificial noise is added in gradient information. 展开更多
关键词 Topology optimization Teaching-learning based optimization Method of moving asymptotes Moving morphable components
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Self-Sustained Boundedness of Logical and Quantal Error at Semantic Intelligence 认领
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作者 Maria K. Koleva 《现代物理(英文)》 2020年第2期157-167,共11页
It is demonstrated that the recently introduced semantic intelligence spontaneously maintains bounded logical and quantal error on each and every semantic trajectory, unlike its algorithmic counterpart which is not ab... It is demonstrated that the recently introduced semantic intelligence spontaneously maintains bounded logical and quantal error on each and every semantic trajectory, unlike its algorithmic counterpart which is not able to. This result verifies the conclusion about the assignment of equal evolutionary value to the motion on the set of all the semantic trajectories sharing the same homeostatic pattern. The evolutionary value of permanent and spontaneous maintenance of boundedness of logical and quantal error on each and every semantic trajectory is to make available spontaneous maintenance of the notion of a kind intact in the long run. 展开更多
关键词 SEMANTIC INTELLIGENCE Algorithmic INTELLIGENCE BOUNDEDNESS Logical ERROR Quantal ERROR Optimization Survival of the Fittest Notion of a KIND
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光储系统储能电站的经济优化调度策略 认领
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作者 顾飞 黄陈蓉 +1 位作者 张建德 王鑫琪 《电工技术》 2020年第14期18-20,共3页
光储联合发电系统中储能电站各电池组功率的分配,可直接影响其调度成本。针对传统等比例功率分配调度方案的不足,以一天内总调度成本最低为优化目标,搭建了考虑调度功率平衡、电池组荷电状态、功率和增量限值的调度成本模型,并利用基于... 光储联合发电系统中储能电站各电池组功率的分配,可直接影响其调度成本。针对传统等比例功率分配调度方案的不足,以一天内总调度成本最低为优化目标,搭建了考虑调度功率平衡、电池组荷电状态、功率和增量限值的调度成本模型,并利用基于杂交(遗传算法)的粒子群算法寻求最优分配方案。算例仿真结果证实,所提出的基于杂交的PSO算法较之传统算法,具有明显的优越性,避免了电池组的过充或过放现象,延长了储能电站的运行寿命和降低了电站的调度成本。 展开更多
关键词 光储联合发电系统 储能电站 调度成本 优化 粒子群算法
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Experimental and Numerical Study of Energy Losses in a Barbecue Oven in Burkina Faso 认领
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作者 Ga?l Lassina Sawadogo Serge Wendsida Igo +3 位作者 Abdoulaye Compaore Drissa Ouedraogo Xavier Chesneau Belkacem Zeghmati 《能源效率(英文)》 2020年第1期31-52,共22页
This work concerns an experimental and numerical study of energy losses in a typical oven usually used in the agro-food craft sector in Burkina Faso. The experimental results were obtained by infrared thermography of ... This work concerns an experimental and numerical study of energy losses in a typical oven usually used in the agro-food craft sector in Burkina Faso. The experimental results were obtained by infrared thermography of the oven and by monitoring the evolution of the wall temperatures using thermocouples connected to a data acquisition system. These results indicate that the energy losses are mainly through the walls of the oven. The numerical study based on the energy balance and corroborated by the experimental study made it possible to quantify these losses of energy which represents almost half of the fuel used. These results will allow us to work on a new, more efficient oven model for the grilling sector in Burkina Faso. 展开更多
关键词 GRILL OVEN Optimization Energy LOSSES NODAL Method
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Evolutionary Algorithms for Controller Tuning of Tert-Amyl-Methyl-Ether Reactive Distillation 认领
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作者 Alireza Behroozsarand David AWood 《Journal of Systems Science and Systems Engineering(系统科学与系统工程学报:英文版)》 SCIE EI CSCD 2020年第3期325-343,共19页
Efficient tuning of the coefficients used by proportional-integral-derivative(PID)controllers enhances their performance.For highly non-linear systems,optimization algorithms are required to make the PID controllers m... Efficient tuning of the coefficients used by proportional-integral-derivative(PID)controllers enhances their performance.For highly non-linear systems,optimization algorithms are required to make the PID controllers more responsive to disturbances.The production of tert-amyl-methyl-ether(TAME),an essential additive for gasoline,in reactive distillation columns integrates highly non-linear reaction and separation processes.On the other hand,TAME distillation is an azeotrope distillation process,therefore non-linearity of this process is more complex than that of conventional distillation.PID-controller tuning methods applying a genetic algorithm(GA)and a particle swarm optimization(PSO)algorithm are compared using a dynamic simulation that integrates the optimization algorithms with the HYSYS process simulator.The PID controller response trends are analyzed following the introduction of a significant disturbance to the TAME reactive distillation column(i.e.,a ten percent change in the methanol feed temperature).The PSO PID controller tuning method that minimizes the integral of the absolute error(IAE)as its objective function significantly outperforms the GA tuning method.The novel PID-tuning methodology developed has more extensive application potential. 展开更多
关键词 TAME azeotropic reactive distillation PID-controller tuning particle swarm optimization genetic algorithm real-time controller optimization
基于改进差分进化算法的层合板优化设计 认领
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作者 韩启超 赵启林 《起重运输机械》 2020年第1期93-96,共4页
针对复合材料具有可设计性以及经典差分进化算法自身的缺陷,提出一种改进的差分进化算法对复合材料层合板进行以铺层角为设计变量、蔡-吴(Tsai-Wu)强度准则为约束条件、层合板强度最大为目标函数的优化设计。考虑差分进化算法在寻优过... 针对复合材料具有可设计性以及经典差分进化算法自身的缺陷,提出一种改进的差分进化算法对复合材料层合板进行以铺层角为设计变量、蔡-吴(Tsai-Wu)强度准则为约束条件、层合板强度最大为目标函数的优化设计。考虑差分进化算法在寻优过程中个体间差异越来越小,采用随机选择突变策略和增加扰动机制的方法,增大个体间差异,避免算法陷入局部最优解。通过数值算例和工程算例验证了改进的差分进化算法具有较好的全局收敛性。 展开更多
关键词 复合材料层合板 改进差分进化算法 优化 全局最优
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四足激光除草机器人腿部结构参数优化 认领
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作者 张良安 唐锴 +4 位作者 赵永杰 王孝义 余大壮 卢新建 王祥 《农业工程学报》 EI CAS CSCD 北大核心 2020年第2期7-15,共9页
电驱四足激光除草机器人的续航能力取决于其电池容量和自身功耗,为了提高其续航能力,降低其目标轨迹下的驱动力矩将具有重要意义。该文以四足激光除草机器人为研究对象,提出一种动力学尺度综合方法,将其腿部尺寸参数作为优化设计目的,... 电驱四足激光除草机器人的续航能力取决于其电池容量和自身功耗,为了提高其续航能力,降低其目标轨迹下的驱动力矩将具有重要意义。该文以四足激光除草机器人为研究对象,提出一种动力学尺度综合方法,将其腿部尺寸参数作为优化设计目的,在给定的目标轨迹上,针对腿部关节驱动力矩进行优化,最终得到一组最优腿部杆长,使其完成目标轨迹的驱动力矩和功耗最小。以四足机器人腿部关节驱动力矩最大值最小作为优化目标,腿部尺寸参数作为约束变量,利用粒子群算法和理想点法进行二次优化,将多目标优化问题转化为单目标优化问题,得到一组最优杆长。计算结果表明:经过尺度综合后的四足机器人动力学性能得到明显改善,优化后单腿的大腿关节驱动力矩峰值下降5.29%,小腿关节驱动力矩峰值下降18.05%,验证了该尺度综合方法的有效性。该文提出的动力学尺度综合方法可为四足类机器人的设计提供参考依据。 展开更多
关键词 机器人 优化 尺度综合 粒子群算法
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现代预测和优化算法在脱硫系统运行中的应用 认领
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作者 曹建宗 林宸雨 +6 位作者 陈文通 刘琦 周权 要亚坤 樊帅军 马彩妮 马双忱 《华电技术》 CAS 2020年第3期59-66,共8页
人工智能技术的不断发展,为定量分析脱硫系统各因素变化带来的影响,从而预测系统脱硫效率和经济成本创造了条件。分析了近年来利用神经网络算法预测脱硫系统SO2排放量的算法网络结构、输入参数选择等算法细节,并讨论了神经网络算法应用... 人工智能技术的不断发展,为定量分析脱硫系统各因素变化带来的影响,从而预测系统脱硫效率和经济成本创造了条件。分析了近年来利用神经网络算法预测脱硫系统SO2排放量的算法网络结构、输入参数选择等算法细节,并讨论了神经网络算法应用于脱硫系统的特点。此外,针对基于脱硫系统设计的预测+优化算法的设计细节和优化目标,对增压风机、氧化风机和浆液循环泵的运行优化做了针对性讨论。 展开更多
关键词 脱硫系统 SO2排放量 预测 神经网络 优化 遗传算法 粒子群优化算法 智慧环保 人工智能
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Application of Reconstruction and Optimization Algorithms in Optical Tomography 认领
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作者 Umair Sajjad Hashmi Raheel Muzzammel +1 位作者 Rabia Arshad Saba Mehmood 《世界工程和技术(英文)》 2020年第2期188-203,共16页
Optical tomography is a non-invasive technique that uses visible or near infrared radiation to analyze biological tissues. Researchers take immense attention towards advancement in optical tomography because of its lo... Optical tomography is a non-invasive technique that uses visible or near infrared radiation to analyze biological tissues. Researchers take immense attention towards advancement in optical tomography because of its low cost and an advantage of providing anatomical information. Based on the information of optical characteristics, forward and inverse problem of tomography are solved. In this research, finite element method is employed for forward problem and gradient-based optimization algorithm is developed for inverse problem of optical tomography. It is found from simulations that information about imaging is processed more distinctly and in less computational time. Normal and abnormal conditions in imaging are readily distinguished.?Simulations are carried out in Matlab. Different scenarios are developed and are simulated to validate the performance of reconstruction and optimization algorithms in optical tomography. 展开更多
关键词 Optical TOMOGRAPHY Medical Imaging Image RECONSTRUCTION Optimization FORWARD PROBLEM INVERSE PROBLEM
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欧拉稳定承载力约束下树状结构找形优化研究 认领
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作者 赵中伟 吴谨伽 +1 位作者 刘海卿 羡丽娜 《建筑结构学报》 EI CAS CSCD 北大核心 2020年第2期125-133,共9页
找形是树状结构研究的关键问题之一,为此,首先提出了基于双单元数值模型的找形迭代程序,并利用已有研究结果对所提出方法进行了验证,计算结果表明利用该方法所得到的树状结构形态在给定荷载作用下只受到轴力。在此基础上,基于欧拉稳定... 找形是树状结构研究的关键问题之一,为此,首先提出了基于双单元数值模型的找形迭代程序,并利用已有研究结果对所提出方法进行了验证,计算结果表明利用该方法所得到的树状结构形态在给定荷载作用下只受到轴力。在此基础上,基于欧拉稳定压杆理论,对树状结构各分支的几何长度进行了优化,在保证各个构件只受到轴力的同时,确保整体结构的稳定承载力最大化。研究结果表明,所提的找形优化方法可以精确考虑平面及空间树状结构各个构件计算长度系数和截面特性对稳定性的影响,计算效率高,可为复杂树状结构的找形优化工作奠定理论基础。 展开更多
关键词 树状结构 找形分析 优化 虚拟温度法 强耦合找形优化算法 稳定承载力
ON APPROXIMATE EFFICIENCY FOR NONSMOOTH ROBUST VECTOR OPTIMIZATION PROBLEMS 认领
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作者 Tadeusz ANTCZAK Yogendra PANDEY +1 位作者 Vinay SINGH Shashi Kant MISHRA 《数学物理学报:B辑英文版》 SCIE CSCD 2020年第3期887-902,共16页
In this article,we use the robust optimization approach(also called the worst-case approach)for findingε-efficient solutions of the robust multiobjective optimization problem defined as a robust(worst-case)counterpar... In this article,we use the robust optimization approach(also called the worst-case approach)for findingε-efficient solutions of the robust multiobjective optimization problem defined as a robust(worst-case)counterpart for the considered nonsmooth multiobjective programming problem with the uncertainty in both the objective and constraint functions.Namely,we establish both necessary and sufficient optimality conditions for a feasible solution to be anε-efficient solution(an approximate efficient solution)of the considered robust multiobjective optimization problem.We also use a scalarizing method in proving these optimality conditions. 展开更多
关键词 Robust optimization approach robust multiobjective optimization ε-efficient solution ε-optimality conditions SCALARIZATION
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Multi-objective test case prioritization based on multi-population cooperative particle swarm optimization 认领
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作者 Wang Hongman Li Jinzhong +1 位作者 Xing Ying Zhou Xiaoguang 《中国邮电高校学报:英文版》 EI CSCD 2020年第1期38-50,共13页
Test case prioritization(TCP) technique is an efficient approach to improve regression testing activities. With the continuous improvement of industrial testing requirements, traditional single-objective TCP is limite... Test case prioritization(TCP) technique is an efficient approach to improve regression testing activities. With the continuous improvement of industrial testing requirements, traditional single-objective TCP is limited greatly, and multi-objective test case prioritization(MOTCP) technique becomes one of the hot topics in the field of software testing in recent years. Considering the problems of traditional genetic algorithm(GA) and swarm intelligence algorithm in solving MOTCP problems, such as falling into local optimum quickly and weak stability of the algorithm, a MOTCP algorithm based on multi-population cooperative particle swarm optimization(MPPSO) was proposed in this paper. Empirical studies were conducted to study the influence of iteration times on the proposed MOTCP algorithm, and compare the performances of MOTCP based on single-population particle swarm optimization(PSO) and MOTCP based on non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ) with the MOTCP algorithm proposed in this paper. The results of experiments show that the TCP algorithm based on MPPSO has stronger global optimization ability, is not easy to fall into local optimum, and can solve the MOTCP problem better than TCP algorithm based on the single-population PSO and NSGA-Ⅱ. 展开更多
关键词 regression testing test case PRIORITIZATION MULTI-POPULATION COOPERATIVE particle SWARM OPTIMIZATION MULTI-OBJECTIVE OPTIMIZATION
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