检索结果-内蒙古大学图书馆

24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD)

作者： Chu, Yan Wang, Kezhi Wang, Lina Qu, Shengdong Harbin Engn Univ Coll Comp Sci & Technol Harbin Peoples R China

ISBN: (纸本)9781728165974

In order to solve the problem of multi-target trajectory correlation in underwater environments, such as the error of underwater measurement and the inconsistency of the targets reported by sensors, we leverage the gradation pre-processing to eliminate the noise and propose the Gaussian mixture model by the topology information between the trajectories. A novel mixed integer nonlinear programming is constructed to determine the relationship between underwater target trajectories, and the correlation bias is reduced by recursing the sensor bias estimation continuously. At the same time, the idea of weighting is introduced to maximize the clustering expectation. The optimal closure solution of the GMM is achieved with the expectation maximization clustering. The corresponding relationship of the trajectory is gotten at the expectation maximization stage, and finally obtains the trajectory correlation result of the underwater targets. The simulation results show that the GMP algorithm has better positive correlation rate and robustness than other algorithms with different target numbers in different dimensions, different sensor angular ranging errors, and different sensor detection probabilities. The GMP algorithm has advantages in the complex underwater environments with multiple noise and high false alarms, and it has accuracy and robustness in underwater multi-target trajectory correlation.

关键词： underwater track association Gaussian mixture model mixed integer nonlinear programming Expectation-Maximum clustering

来源：评论

学校读者我要写书评

暂无评论

A mixed-integer non-linear no-wait open-shop scheduling model for minimizing makespan and total tardiness in manufacturing

引用

Decision Analytics Journal 2024年 10卷

作者： Mirmozaffari, Mirpouya Hejazi, Seyed Mojtaba Karamizadeh, Narges Montazeri, Arsalan Department of Industrial Engineering Dalhousie University 5269 Morris Street Halifax B3H 4R2 NS Canada Department of Data Science Rome Business School Rome Italy Department of Civil and Resource Engineering Dalhousie University 1360 Barrington Street Halifax B3H 4R2 NS Canada Northeastern University Department of project management First Canadian Place 100 King St W Toronto M5X 1E2 ON Canada

Open shop scheduling problems (OSSP) are highly significant in engineering and industry, involving critical scheduling challenges. The job type determines the duration required for material transfer between machines and remains unaffected by distance, eliminating any waiting time for transfers. This study also investigates machine-to-machine transfer durations, influenced by job types and independent of distance. The approach considers a transportation system allowing an unrestricted quantity of transportation machines, ensuring no delay is required for open shop scheduling during transfers. These specific scheduling problems are described as no-wait open shop scheduling problems (NWOSP). A mathematical model called mixed integer nonlinear programming models (MINLP) is utilized, employing the GAMS BONMIN solver for small and medium-scale problems to address smaller-scale instances of these problems. Three metaheuristic algorithms of Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), and Ant Lion Optimizer (ALO) are compared to resolve large-scale problems by considering a sorting function assisted by MATLAB to change the continuous metaheuristics environment to a permutation scheduling problem considering 250 iterations. Since metaheuristics are a theoretically powerful optimizer tool designed to expedite the resolution of intricate single-objective nonlinear problems and locate the most advantageous solution, reference point programming with Euclidean distances (RPPED) is applied as the powerful tool for expediting the nonlinearity conditions and converting the bi-objective mixed integer linear programming (BOMILP) to suggested single objective MINLP. © 2024 The Author(s)

关键词： Ant Lion Optimizer Grey Wolf Optimizer Makespan mixed integer nonlinear programming No-wait open shop scheduling problems Reference point programming with Euclidean distances Total tardiness Transportation time Whale Optimization Algorithm

来源：评论

学校读者我要写书评

暂无评论

Multi-objective bi-level quantity regulation scheduling method for electric-thermal integrated energy system considering thermal and hydraulic transient characteristics

引用

ENERGY CONVERSION AND MANAGEMENT 2022年 253卷 115147-115147页

作者： Guo, Su Song, Guotao Li, Mengying Zhao, Xiaohui He, Yi Kurban, Ainur Ji, Wenjia Wang, Jiale Hohai Univ Coll Energy & Elect Engn Nanjing Peoples R China Hong Kong Polytech Univ Dept Mech Engn Hong Kong Peoples R China Hong Kong Polytech Univ Res Inst Smart Energy Hong Kong Peoples R China Northwest Elect Power Design Inst Co Ltd China Power Engn Consulting Grp Beijing Peoples R China

ABSTR A C T In most studies about operation optimization of integrated energy system (IES), the heating subsystem adopts the quality regulation method. However, considering the poor economy of quality regulation, quantity regulation method is proposed to improve the economy. Due to possible hydraulic vertical imbalance resulted from quantity regulation, the operation optimization must consider the effects of both thermal and hydraulic dynamic char-acteristics on IES. In this work, a new multi-objective quantity regulation scheduling method of electric-thermal IES is proposed, which adopts an electro-thermal decoupling bi-level optimization structure, a nonlinear dynamic thermo-hydraulic network model, objectives of economy and carbon emission indices and more reasonable nonlinear constraints. An IES prototype of 5-node power system with 5-node thermal system is designed to verify the proposed quantity regulation scheduling method. When solving the optimization problem, method NSGA-II combines with Gurobi is 40% faster in computational speed when compared with other methods. When compared with a single layer solution method, the proposed bi-level optimization model results in a scheduling strategy that can absorb 100% renewable power with operation cost of 10150.18 U.S. dollars (39.5% reduction) and carbon emission of 1303.7 ton (13% reduction). The hydraulic transient process resulted from the quantity regulation is also analyzed to demonstrate that the optimized scheduling strategy could satisfy the safety requirement of the heating network operation. Therefore, the proposed scheduling optimization method is more effective and satisfied.

关键词： Integrated energy system Quantity regulation Bi-level scheduling method Multi-objective optimization Thermo-hydraulic dynamic model mixed integer nonlinear programming

来源：评论

学校读者我要写书评

暂无评论

Solid-liquid equilibrium of 3,3-dilauryl thiodipropionate/lauryl alcohol in melt crystallization and model based process design

引用

CHEMICAL ENGINEERING SCIENCE 2022年第PartB期248卷 117209-117209页

作者： Pan, De-Tao Yan, Wei-Cheng Luo, Zheng-Hong Shanghai Jiao Tong Univ Sch Chem & Chem Engn Dept Chem Engn State Key Lab Met Matrix Composites Shanghai 200240 Peoples R China Jiangsu Univ Sch Chem & Chem Engn Zhenjiang 212013 Jiangsu Peoples R China

Melt crystallization is a promising and widely used method for obtaining pure compounds. Nonetheless, separation of 3,3-dilauryl thiodipropionate (DLTP) has not yet been realized by melt crystallization. Solid liquid equilibrium is the fundamental for the separation process design. In this work, we evaluated the feasibility of the purification of DLTP from the DLTP/lauryl alcohol (LA) binary mixture by melt crystallization technique. For this purpose, the solid-liquid equilibrium data were measured using differential scanning calorimetry (DSC) technique. The experimental data were correlated by Wilson, Margules-3-suffix and Non-Random Two-Liquid (NRTL) activity coefficient models to obtain the binary parameters of the three models. Eutectic composition and temperature were calculated using NRTL model, which were x(LA) = 0.961 (molar fraction) and 295.79 K, respectively. On the basis of the solid-liquid equilibrium, the multistage countercurrent separation configurations were proposed for the separation of the binary system. The formulated mixed integer nonlinear programming (MINLP) problem was solved using the branch-and-bound algorithm. The conceptual designs for multistage countercurrent configuration were derived based on MINLP optimization by comparing results at various conditions. Results showed that at least 3 crystallization stages with k(eff) <= 0.4 are required to obtain the 99% (mass fraction) DLTP product within the initial concentration range from 10% to 30% (mass fraction). (C) 2021 Elsevier Ltd. All rights reserved.

关键词： 3,3-Dilauryl thiodipropionate Lauryl alcohol Solid-liquid equilibrium Melt crystallization mixed integer nonlinear programming

来源：评论

学校读者我要写书评

暂无评论

A Two-Tier Superstructure Model for Optimization of Microalgae-Based Biorefinery

引用

ENERGIES 2022年第23期15卷 9166页

作者： Gu, Siwen Wang, Jiaan Zhuang, Yu Changzhou Inst Technol Sch Photoelect Engn Changzhou 213032 Peoples R China Dalian Univ Technol Inst Chem Proc Syst Engn Frontiers Sci Ctr Smart Mat Oriented Chem Engn Sch Chem Engn Dalian 116024 Peoples R China

Microalgae have attracted great research interest as a feedstock for producing a wide range of end-products. However, recent studies show that the tight processing integration technology for microalgae-based biorefinery makes production less economical and even has a negative impact on sustainability. In this study, a new two-tier superstructure optimization design methodology is proposed to locate the optimal processing pathway. This model is developed based on the decomposition strategy and the relationship-based investigation, coupling an outer-tier structure with an inner-tier structure, wherein the outlet flows of the middle stages is relaxed and then an appropriate level of redundancy for designing the processing is provided. Two scenarios are developed to compare the most promising biorefinery configurations under two different design option favors. By solving the mixed integer nonlinear programming model with the objective functions of maximizing the yield of the desired products and maximizing the gross operating margin, the optimization results obtained show the ability of this framework to provide the promising configurations and cost-effectiveness of microalgae-based biorefinery. Compared with Scenario 1, the optimized solutions in Scenario 2 feature a gross operating margin increase up to 27.09% and an increase in product yield up to 25.00%. The proposed method improves the original huge computing scale and ensures economics without simplifying the processing pathways.

关键词： microalgae-based biorefinery superstructure optimization mixed integer nonlinear programming circular economy sustainability development

来源：评论

学校读者我要写书评

暂无评论

Optimal artificial neural network architecture design for modeling an industrial ethylene oxide plant

引用

COMPUTERS & CHEMICAL ENGINEERING 2022年 163卷

作者： Sildir, Hasan Sarrafi, Sahin Aydin, Erdal Gebze Tech Univ Dept Chem Engn TR-41400 Kocaeli Turkey SOCAR Turkey R&D & Innovat Co TR-35800 Izmir Turkey Bogazici Univ Dept Chem Engn TR-34342 Bebek Turkey Koc Univ Dept Chem & Biol Engn TR-34457 Istanbul Turkey Koc Univ Koc Univ TUPRAS Energy Ctr KUTEM TR-34450 Istanbul Turkey

Optimum selection of input variables, number of hidden neurons and connections among the network elements deliver the best configuration of an ANN, usually resulting in reduced over-fitting and improved test performance. This study focuses on the development of a superstructure-oriented feedforward ANN design and training algorithm whose impacts are demonstrated on an industrial Ethylene Oxide (EO) plant for the prediction of product related variables. Proposed method brings about a mixed integer nonlinear programming problem (MINLP) to be solved, which takes the existence of inputs, neurons, and connections among the network elements into account by binary variables in addition to continuous weights of existing connections. Our investigations show that almost 85% of the ANN connections are removed compared to the fully connected ANN (FC-ANN) with 50% decrease in the number of inputs of the ANN. The modified ANN delivers a better prediction performance over FC-ANN, since FC-ANN suffers from over-fitting. (C) 2022 Elsevier Ltd. All rights reserved.

关键词： Machine learning Artificial neural networks Superstructure optimization Process modeling mixed integer nonlinear programming

来源：评论

学校读者我要写书评

暂无评论

Planning reliability demonstration tests with limited expected risks

引用

COMPUTERS & INDUSTRIAL ENGINEERING 2022年 165卷

作者： Fernandez, Arturo J. Univ La Laguna Dept Matemat Estadist & Invest Operat Tenerife 38071 Canary Isl Spain

Optimal reliability demonstration test plans with controlled expected producer and consumer risks are computed. Device failure times follow Weibull distributions, whereas prior information on device reliability is described by limited beta models. Minimum-cost test durations, sample sizes and acceptance numbers are found by solving mixed integer nonlinear programming problems. Lower and upper bounds on the minimal feasible number of failures allowed, as well as a reasonable approximation, are first deduced. An iterative method is then presented for determining the optimal lot inspection plan. Numerical and graphical analyses and several applications in industrial manufacturing are also provided for illustrative and comparative purposes. The inclusion of substantial prior knowledge allows the reliability engineer to reduce test time, sample size and cost, and leads to improved risk assessments for both producers and consumers. The proposed approach also enables the practitioners the flexibility to define precise limits of the device reliability and to combine multiple experts' opinions. In addition, the best plan can continually be updated as more subjective or objective information becomes available.

关键词： Reliability testing Lot sentencing Limited beta distribution mixed integer nonlinear programming Weibull model

来源：评论

学校读者我要写书评

暂无评论

Joint optimization of lot-sizing and pricing with backlogging

引用

COMPUTERS & INDUSTRIAL ENGINEERING 2022年 167卷

作者： Liu, Ming Tang, Hao Chu, Feng Zheng, Feifeng Chu, Chengbin Tongji Univ Sch Econ & Management Shanghai Peoples R China Univ Paris Saclay Univ Evry IBISC Evry France Donghua Univ Glorious Sun Sch Business & Management Shanghai Peoples R China Univ Gustave Eiffel ESIEE Paris F-93162 Noisy Le Grand France Lab GRETTIA COSYS F-93162 Noisy Le Grand France

Lot-sizing and pricing are two important manufacturing decisions that impact together the profit of a company. Existing works address the joint lot-sizing and pricing problem without backlogging, although it is a usual strategy that permits to satisfy customer demand with delay. In this work, we study a new multi-product joint lot-sizing and pricing problem with backlogging and limited production capacity. The objective is to maximize the total company profit over a finite planning horizon. For the problem, a mixed integer nonlinear programming (MINLP) formulation is given. Then, several optimality properties are provided and a tighter MINLP model is established based on these properties. According to the NP-hard nature and non-linearity of the model, a model based heuristic that focuses on efficiently solving small-sized instances is proposed and a genetic algorithm (GA) with new progressive repair strategy is developed to address large-sized instances. Managerial insights are drawn based an illustrative example. Numerical experiments are conducted on 64 benchmark based instances and 105 randomly generated instances with up to 10 products and 12 periods, which validates the MINLP formulation and shows the efficiency of the proposed solution methods.

关键词： Lot-sizing Pricing Backlogging Optimality property mixed integer nonlinear programming Genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

COMPARISON BETWEEN FIVE MINLP SOLVERS AND NEW RESULTS RELATED TO TRIGONOMETRIC FUNCTIONS

引用

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY 2022年第10期30卷 2240249-2240249页

作者： Alkhalifa, Loay Qassim Univ Dept Math Coll Arts & Sci Ar Rass 51921 Saudi Arabia

Due to the rapid development of algorithms and techniques that are used to deal with mixed integer nonlinear programming (MINLP) problems, many global MINLP solvers were introduced. In this paper, computational experiments were done to compare between the performances of five of these solvers. Some of these solvers do not support trigonometric functions. Therefore, piecewise linear approximation (PLA) is applied to problems having these function so the solvers can deal with these problems. Additional computational tests were performed on to show how PLA can be useful, even to some powerful global solvers.

关键词： mixed integer nonlinear programming Piecewise Linear Approximation Branch and Bound Outer Approximation

来源：评论

学校读者我要写书评

暂无评论

Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions

引用

APPLIED SOFT COMPUTING 2020年 86卷

作者： Ghasemishabankareh, Behrooz Li, Xiaodong Ozlen, Melih Neumann, Frank RMIT Univ Sch Sci Melbourne Vic Australia Univ Adelaide Sch Comp Sci Adelaide SA Australia

The minimum cost flow problem (MCFP) is the most generic variation of the network flow problem which aims to transfer a commodity throughout the network to satisfy demands. The problem size (in terms of the number of nodes and arcs) and the shape of the cost function are the most critical factors when considering MCFPs. Existing mathematical programming techniques often assume the cost functions to be linear or convex. Unfortunately, the linearity and convexity assumptions are too restrictive for modelling many real-world scenarios. In addition, many real-world MCFPs are large-scale, with networks having a large number of nodes and arcs. In this paper, we propose a probabilistic tree-based genetic algorithm (PTbGA) for solving large-scale minimum cost integer flow problems with nonlinear non-convex cost functions. We first compare this probabilistic tree-based representation scheme with the priority-based representation scheme, which is the most commonly-used representation for solving MCFPs. We then compare the performance of PTbGA with that of the priority-based genetic algorithm (PrGA), and two state-of-the-art mathematical solvers on a set of MCFP instances. Our experimental results demonstrate the superiority and efficiency of PTbGA in dealing with large-sized MCFPs, as compared to the PrGA method and the mathematical solvers. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Minimum cost flow problem Genetic algorithm Representation scheme mixed integer nonlinear programming Taguchi experimental design

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

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

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：