检索结果-内蒙古大学图书馆

An Intelligent optimization Method of Reinforcing Bar Cutting for Construction Site

Computer Modeling in Engineering & Sciences 2023年第1期134卷 637-655页

作者： Zhaoxi Ma Qin Zhao Tianyou Cang Zongjian Li Yiyun Zhu Xinhong Hei Department of Civil Engineering and Architecture Xi’an University of TechnologyXi’an710048China State Key Laboratory of Rail Transit Engineering Informatization(FSDI) Xi’an710043China Department of Computer Science and Engineering Xi’an University of TechnologyXi’an710048China

To meet the requirements of specifications,intelligent optimization of steel bar blanking can improve resource utilization and promote the intelligent development of sustainable *** one of the most important building materials in construction engineering,reinforcing bars(rebar)account for more than 30%of the cost in civil engineering.A significant amount of cutting waste is generated during the construction *** cutting waste increases construction costs and generates a considerable amount of CO_(2)*** study aimed to develop an optimization algorithm for steel bar blanking that can be used in the intelligent optimization of steel bar engineering to realize sustainable *** the proposed algorithm,the integer linear programming algorithm was applied to solve the *** was combined with the statistical method,a greedy strategy was introduced,and a method for determining the dynamic critical threshold was developed to ensure the accuracy of large-scale data *** proposed algorithm was verified through a case study;the results confirmed that the rebar loss rate of the proposed method was reduced by 9.124%compared with that of traditional distributed processing of steel bars,reducing CO_(2)emissions and saving construction *** the scale of a project increases,the calculation quality of the optimization algorithmfor steel bar blanking proposed also increases,while maintaining high calculation *** the results of this study are applied in practice,they can be used as a sustainable foundation for building informatization and intelligent development.

关键词： Building construction rebar work cutting stock problem optimization algorithm integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Identification of gene knockout strategies using a hybrid of an ant colony optimization algorithm and flux balance analysis to optimize microbial strains

引用

COMPUTATIONAL BIOLOGY AND CHEMISTRY 2014年第PartB期53卷 175-183页

作者： Lu, Shi Jing Salleh, Abdul Hakim Mohamed Mohamad, Mohd Saberi Denis, Safaai Omatu, Sigeru Yoshioka, Michifumi Univ Teknol Malaysia Fac Comp Artificial Intelligence & Bioinformat Res Grp Skudai 81310 Johor Malaysia Osaka Inst Technol Dept Elect Informat & Commun Engn Osaka 5358585 Japan Osaka Prefecture Univ Fac Engn Naka Ku Sakai Osaka 5998531 Japan

Reconstructions of genome-scale metabolic networks from different organisms have become popular in recent years. Metabolic engineering can simulate the reconstruction process to obtain desirable phenotypes. In previous studies, optimization algorithms have been implemented to identify the near-optimal sets of knockout genes for improving metabolite production. However, previous works contained premature convergence and the stop criteria were not clear for each case. Therefore, this study proposes an algorithm that is a hybrid of the ant colony optimization algorithm and flux balance analysis (ACOFBA) to predict near optimal sets of gene knockouts in an effort to maximize growth rates and the production of certain metabolites. Here, we present a case study that uses Baker's yeast, also known as Saccharomyces cerevisiae, as the model organism and target the rate of vanillin production for optimization. The results of this study are the growth rate of the model organism after gene deletion and a list of knockout genes. The ACOFBA algorithm was found to improve the yield of vanillin in terms of growth rate and production compared with the previous algorithms. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Ant colony optimization algorithm Flux balance analysis Metabolic engineering optimization algorithm Gene knockout strategy Microbial strains

来源：评论

学校读者我要写书评

暂无评论

Distributed neurodynamic optimization for multi-energy management with time-varying external disturbances considering time-varying emission limitations and load demand in multi-microgrid

引用

ISA TRANSACTIONS 2023年第1期139卷 337-356页

作者： Li, Wenwen Wang, Hui He, Xing Southwest Univ Sch Elect & Informat Engn Chongqing Key Lab Nonlinear Circuits & Intelligent Chongqing 400715 Peoples R China Chongqing Normal Univ Sch Math Sci Chongqing 401331 Peoples R China

An emerging time-varying distributed multi-energy management problem (MEMP) considering time-varying load and emission limitations for resisting time-varying external disturbances and communication time delays in the multi-microgrid (MMG) system is investigated. Each microgrid (MG) contains some smaller microgrids (SMGs), which are connected by energy routers (ERs) of the system and can monitor energy in real-time with each other. In addition, a time-varying multi-energy management optimization model (MEMOM) is proposed in this paper in order to minimize the total cost of the MEMP which considers environmental cost, renewable energy cost and fuel cost. Furthermore, time-varying distributed neurodynamic optimization algorithms are proposed for solving the above MEMP based on consensus theory and sliding mode control technique. Compared with the optimization algorithms which consist of symbolic functions proposed in traditional energy management problems, algorithms consisting of hyperbolic tangent functions proposed in this paper can effectively reduce the oscillation of the algorithms and improve the stability of algorithms. Furthermore, the algorithm can converge the optimal trajectory of optimization problems with time-varying external disturbances and communication time delays. Meanwhile, the stability and convergence of the algorithms are proved theoretically by constructing appropriate Lyapunov functions. Finally, the performance evaluation re-sults of numerical simulations show that the proposed algorithms can efficiently handle energy trading under time-varying load and maintain excellent stability with time-varying external disturbances and communication time delays.(c) 2023 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Multi-energy management Multi-microgrid Time-varying external disturbances Communication time delays Time-varying distributed neurodynamic optimization algorithm Time-varying emission limitations

来源：评论

学校读者我要写书评

暂无评论

Uncertainty optimization Based Feature Selection Model for Stock Marketing

引用

COMPUTATIONAL ECONOMICS 2024年第1期63卷 357-389页

作者： Sinha, Arvind Kumar Shende, Pradeep Natl Inst Technol Dept Math Raipur Chhattisgarh India

Market analyzers use different parameters as features in the market data to analyze the market trends. The feature's values act as a signal to market fluctuations. Many studies have examined these features to predict market movement more effectively. However, the method to minimize the uncertainties associated with the features is not available in the literature. This exploratory study introduces the uncertainty optimization based feature selection method for stock marketing. We introduce a notion of certainty region of the feature as the set of feature values, which signify particular happening with certainty. We use rough set theory to find the feature's certainty region and uncertainty region and measure each feature's significance. The feature whose certainty region is the maximum is the most significant in the feature space. Hence we group the features by minimizing the uncertainty region of the most informative features to get feature subsets for feature selection. We propose an algorithm based on uncertainty optimization to find subsets of the feature set for effectiveness and performance enhancement in the feature selection. We obtain the decision rules with comprehensive coverage and excellent support using the selected features. The accuracy of classification using the chosen parameters is up to 85.91%, which is higher than 79.54% of the complete feature set. The study provides an uncertainty optimization model for more efficient market movement prediction.

关键词： Stock market Uncertainty optimization Rough set Feature selection optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Analytic Gradient Computation and Applications in Multitarget Multi-Impulse Trajectory optimization

引用

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2024年第2期47卷 347-357页

作者： Zhang, Nan Di, Wu Baoyin, Hexi Tsinghua Univ Sch Aerosp Engn Beijing 100084 Peoples R China

来源：评论

学校读者我要写书评

暂无评论

Genetic optimization algorithms for Supersonic Heat Addition

Genetic Optimization Algorithms for Supersonic Heat Addition

引用

AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Villa, Louis Purdue Univ Aeronaut & Astronaut 2038 Puget Dr W Lafayette IN 47906 USA

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

As technologies continue to be developed to enable the private and commercial use of super and hypersonic aerospace systems, one of the many issues that must be addressed is the optimization of supersonic flow paths that involve both area change and heat addition, such as those present in scramjets. The ever-expanding capability of computers to solve complex optimization problems can help decrease the development cost of propulsion systems by removing guesswork involved in early experimental design. This paper works to develop a novel approach for numerically computing flow properties along an arbitrary flow path with both area change and heat addition. Using the numerical approach as a performance metric, this paper will go on to implement a genetic algorithm that finds the optimal geometry and fuel addition profiles to maximize the thrust a propulsion device can generate. This tool is designed both for use as a computational rapid prototyping to inform early design choices for supersonic propulsion systems as well as a baseline metric for the performance of later iterations of design refinement, such as computational fluid dynamics models and experimental results. The presented approach is unique in the minimalistic nature of the code implementation and the lack of previous knowledge required of the solution space.

关键词： optimization algorithm Axially Symmetric Flow Propulsion System Genetic algorithm Computational Fluid Dynamics Cloud Computing Scramjet Aerospace System Rapid Prototyping Mach Number

来源：评论

学校读者我要写书评

暂无评论

Examination and Evaluation of High-Efficiency Motor Drive Using Motors for Electric Vehicle Equipped with optimization algorithms 12

Examination and Evaluation of High-Efficiency Motor Drive Us...

引用

12th IEEE Energy Conversion Congress and Exposition-Asia (ECCE-Asia)

作者： Kawamura, Suguru Wakasa, Yuta Miino, Yuu Takagi, Shigeyuki Tokyo Univ Technol Sch Engn Hachioji Tokyo Japan

ISBN: (纸本)9781728163444

We have proposed a novel control method that in which proportional-integral (PI) control and optimized control are combined to stabilize permanent-magnet synchronous motors (PMSMs) for electric vehicles (EVs). The inverter current, which maximizes the torque and minimizes power, is calculated by the optimized control method. The simulations and experiments were performed to verify the effectiveness of the control. The experiment was carried out using the RX62T micromputer, which is an IC for automobile control, and a digital control system (PE-Expert4). Compared with the conventional speed PI control, the optimized control suppresses the decrease in motor speed and shortens the recovery time. As a result, we confirmed that the responsiveness was improved by 3 3 %. From this result, the optimized control method. which simultaneously controls and monitor speed, was shown to be effective in solving the problems of the conventional method.

关键词： optimization algorithm permanent magnetic synchronous motor RX621 microcomputer hill-climbing method

来源：评论

学校读者我要写书评

暂无评论

Buckling and Fundamental Frequency optimization of Tow-Steered Composites Using Layerwise Structural Models

引用

AIAA JOURNAL 2023年第9期61卷 4149-4163页

作者： Sanchez-Majano, Alberto Racionero Pagani, Alfonso Polytech Univ Turin Dept Mech & Aerosp Engn I-10129 Turin Italy

Variable-angle-tow (VAT) composite laminates can eventually improve the mechanical performance of lightweight structures by taking advantage of a larger design space compared to straight-fiber counterparts. Here, we provide a scalable low- to high-fidelity methodology to retrieve the tow angles that maximize the buckling load and the fundamental frequency of VAT plates. A genetic algorithm is used to solve the optimization problem in which the objective function is mimicked using a surrogate model. Both unconstrained and manufactured-constrained problems are solved. The surrogates are built with outcomes from numerical models generated by means of the Carrera unified formulation, which enables to obtain straightforwardly different degrees of accuracy by selecting the order of the structural theory employed. The results show both the validity and flexibility of the proposed design approach. It is shown that, although the optimal design fiber angle orientations are consistently similar, discrepancies in the prediction of the buckling load or fundamental frequency can be found between high-fidelity layerwise and low-to-refined equivalent-single-layer models, of which classical laminated plate or first-shear deformation theories are degenerate examples.

关键词： Buckling Analysis Structural Modeling and Simulation Fiber Volume Fraction Genetic algorithm Finite Element Method optimization algorithm Mechanical and Structural Vibrations Composite Structures Variable Stiffness Composites Variable-angle Tow

来源：评论

学校读者我要写书评

暂无评论

A new approach to solving a quasilinear boundary value problem with p-Laplacian using optimization

引用

APPLICATIONS OF MATHEMATICS 2023年第4期68卷 425-439页

作者： Bailova, Michaela Bouchala, Jiri VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Appl Math 17 Listopadu 2172-15 Ostrava 70800 Czech Republic

We present a novel approach to solving a specific type of quasilinear boundary value problem with p-Laplacian that can be considered an alternative to the classic approach based on the mountain pass theorem. We introduce a new way of proving the existence of nontrivial weak solutions. We show that the nontrivial solutions of the problem are related to critical points of a certain functional different from the energy functional, and some solutions correspond to its minimum. This idea is new even for p = 2. We present an algorithm based on the introduced theory and apply it to the given problem. The algorithm is illustrated by numerical experiments and compared with the classic approach.

关键词： p-Laplacian operator quasilinear elliptic PDE critical point and value optimization algorithm gradient method

来源：评论

学校读者我要写书评

暂无评论

optimization algorithm of Massive Data Query Based on JOIN

Optimization Algorithm of Massive Data Query Based on JOIN

引用

5th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Zheng Jiajia Sun Jiasong Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)9781479932795

The paper uses parallel computation of grid and data grid as theoretical basis. The isomerism of each node and difference of communication rate under grid environment, and massive data query makes query operations of database difficult. For the new structural characteristic, the paper proposes a parallel JOIN algorithm based on massive data, it fully uses parallelism and reduces transmission volume to shorten response time. The paper includes implementation and optimization of JOIN algorithm, fault-tolerant mechanism, RDMM, partition and transmission of massive data.

关键词： component grid computation parallel computing massive data optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：