检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Yu, Lei Ge, Qian Han, Ke Ji, Wen Liu, Yueqi School of Transportation and Logistics Southwest Jiaotong University Xi’an 999 Pidu District Sichuan Chengdu611756 China School of Economics and Management Southwest Jiaotong University No. 111 North Section 1 2nd Ring Road Sichuan Chengdu610031 China

More than 10 billion tons of construction and demolition waste (CW) are generated globally each year, exerting a significant impact on the environment. In the CW recycling process, the government and the carrier are the two primary stakeholders. The carrier is responsible for transporting CW from production sites to backfill sites or processing facilities, with a primary focus on transport efficiency and revenue. Meanwhile, the government aims to minimize pollution from the recycling system, which is influenced by transport modes, shipment distances, and the processing methods used for CW. This paper develops a bi-objective, bi-level optimization model to address these challenges. The upper-level model is a linear programming model that optimizes the government’s subsidy scheme, while the lower-level model is a minimum-cost flow model that optimizes the carrier’s recycling plan. A hybrid heuristic solution method is proposed to tackle the problem’s complexity. A case study in Chengdu, China, demonstrates the computational efficiency of the model and its small solution gap. With an optimized subsidy scheme and recycling plan, pollution can be reduced by over 29.29% through a relatively small investment in subsidies. Copyright © 2025, The Authors. All rights reserved.

关键词： linear programming

来源：评论

学校读者我要写书评

暂无评论

An exploratory computational analysis of dual degeneracy in mixed-integer programming

引用

EURO JOURNAL ON COMPUTATIONAL OPTIMIZATION 2020年第3-4期8卷 241-261页

作者： Gamrath, Gerald Berthold, Timo Salvagnin, Domenico Zuse Inst Berlin D-14195 Berlin Germany I2DAMO GmbH Englerallee 19 D-14195 Berlin Germany Fair Isaac Germany GmbH Stubenwald Allee 19 D-64625 Bensheim Germany DEI Via Gradenigo 6-B I-35131 Padua Italy

Dual degeneracy, i.e., the presence of multiple optimal bases to a linear programming (LP) problem, heavily affects the solution process of mixed integer programming (MIP) solvers. Different optimal bases lead to different cuts being generated, different branching decisions being taken and different solutions being found by primal heuristics. Nevertheless, only a few methods have been published that either avoid or exploit dual degeneracy. The aim of the present paper is to conduct a thorough computational study on the presence of dual degeneracy for the instances of well-known public MIP instance collections. How many instances are affected by dual degeneracy? How degenerate are the affected models? How does branching affect degeneracy: Does it increase or decrease by fixing variables? Can we identify different types of degenerate MIPs? As a tool to answer these questions, we introduce a new measure for dual degeneracy: the variable-constraint ratio of the optimal face. It provides an estimate for the likelihood that a basic variable can be pivoted out of the basis. Furthermore, we study how the so-called cloud intervals-the projections of the optimal face of the LP relaxations onto the individual variables-evolve during tree search and the implications for reducing the set of branching candidates.

关键词： Mixed integer programming Dual degeneracy linear programming Branch-and-bound

来源：评论

学校读者我要写书评

暂无评论

Blood Pressure Regulation Using a FOPID Controller Based on a Hybrid-Evolutionary Optimization Algorithm

Blood Pressure Regulation Using a FOPID Controller Based on ...

引用

Applied Research in Electrical Engineering (AREE), National and International Conference on

作者： Abolfazl Abouali Hamed Mojallali Electrical Engineering Department Faculty of Engineering University of Guilan Rasht Iran

ISBN: (数字)9798350377170

ISBN: (纸本)9798350377187

In recent years, due to the strong need to control blood pressure in patients, especially patients with heart problems, several control structures have been designed and implemented to control their blood pressure. The reason for this is the instability of blood pressure in this group of patients, and nurses and doctors need to use methods to prevent this instability, which can be a fatal factor for patients. To achieve this goal, a fractional-order PID controller whose coefficients are calculated using a hybrid-evolutionary algorithm called BH-PSO has been used in this paper. This control combination can excessively improve the system’s output response. This control structure can significantly reduce the error rate and settling time. Also, for the objective function, three functions integral absolute error (IAE), integral squared error (ISE), and integral time absolute error (ITAE) have been used to compare and reduce the system’s error rate.

关键词： Sensitivity Error analysis Transfer functions Process control Medical services linear programming Pressure control Blood pressure Regulation Optimization

来源：评论

学校读者我要写书评

暂无评论

CorrFill: Enhancing Faithfulness in Reference-Based Inpainting with Correspondence Guidance in Diffusion Models

CorrFill: Enhancing Faithfulness in Reference-Based Inpainti...

引用

IEEE Workshop on Applications of Computer Vision (WACV)

作者： Kuan-Hung Liu Cheng-Kun Yang Min-Hung Chen Yu-Lun Liu Yen-Yu Lin National Yang Ming Chiao Tung University National Taiwan University MediaTek Inc. Taiwan NVIDIA

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

In the task of reference-based image inpainting, an additional reference image is provided to restore a damaged target image to its original state. The advancement of diffusion models, particularly Stable Diffusion, allows for simple formulations in this task. However, existing diffusion-based methods often lack explicit constraints on the correlation between the reference and damaged images, resulting in lower faithfulness to the reference images in the inpainting results. In this work, we propose CorrFill, a training-free module designed to enhance the awareness of geometric correlations between the reference and target images. This enhancement is achieved by guiding the inpainting process with correspondence constraints estimated during inpainting, utilizing attention masking in self-attention layers and an objective function to update the input tensor according to the constraints. Experimental results demonstrate that CorrFill significantly enhances the performance of multiple baseline diffusion-based methods, including state-of-the-art approaches, by emphasizing faithfulness to the reference images.

关键词： Computer vision Correlation Tensors Diffusion models linear programming Image restoration Optimization

来源：评论

学校读者我要写书评

暂无评论

A Structural Topology Optimization Method Integrating Genetic Algorithm and Bidirectional Evolutionary Structural Optimization

A Structural Topology Optimization Method Integrating Geneti...

引用

Computational Intelligence on Engineering/Cyber Physical Systems (CIES), IEEE Symposium on

作者： Bingcheng Wang Satoru Hiwa Tomoyuki Hiroyasu Faculty of Life and Medical Sciences Doshisha University Kyoto Japan

ISBN: (数字)9798331508272

ISBN: (纸本)9798331508289

This study introduces a novel framework for topology optimization in structural design by integrating global and local search algorithms. Specifically, a genetic algorithm (GA) is employed as the global search method, leveraging its strengths in handling diverse objective functions while preserving interpretability throughout the optimization process. As a specific example of the framework, a system integrating GA as the global search algorithm and Bidirectional Evolutionary Structural Optimization (BESO) as the local search algorithm is introduced. GA is employed for its global exploration capability, enabling exploration on a diverse set of solutions for a wide range of optimization problems. BESO is applied as a local search method to refine solutions, enhancing the optimization results by precisely adjusting the structural design during the searching process. The effectiveness of this approach is demonstrated through two numerical examples focusing on their own primary objectives: one maximizing the structural stiffness, and the other maximizing the displacement. The results show that the combination of GA and BESO effectively meets the set design goals, highlighting the potential for significant structural design improvements through their synergistic effect, confirming the benefits of combining GA's ability to conduct global exploration with BESO's capacity to fine-tune solutions through local search. This study demonstrates the effectiveness of integrating GA and BESO in structural topology optimization, providing a powerful tool for advancing generative structural design.

关键词： Refining linear programming Three-dimensional printing Search problems Topology Optimization Stress Standards Genetic algorithms Pragmatics

来源：评论

学校读者我要写书评

暂无评论

MONAS-ESNN: Multi-Objective Neural Architecture Search for Efficient Spiking Neural Networks

MONAS-ESNN: Multi-Objective Neural Architecture Search for E...

引用

IEEE Workshop on Applications of Computer Vision (WACV)

作者： Esmat Ghasemi Saghand Susana K. Lai-Yuen University of South Florida

ISBN: (数字)9798331510831

ISBN: (纸本)9798331510848

Spiking Neural Networks (SNNs) have emerged as a compelling alternative to traditional Artificial Neural Networks (ANNs) due to their energy efficiency and biological plausibility. However, current SNN models often rely on ANN architectures that may not fully exploit the unique properties of SNNs. Neural Architecture Search (NAS) approaches have been shown to automate the identification of suitable architectures for various applications. Nevertheless, very few works have been presented on NAS for SNNs and particularly for identifying architectures that achieve high accuracy while capitalizing on the energy efficiency property of SNNs. In this paper, we present a Multi-Objective Neural Architecture Search for Efficient SNNs (MONAS-ESNN) approach that utilizes a training-free NAS to discover SNN architectures that optimize both accuracy and energy efficiency. The proposed MONAS-ESNN uses the NSGA-II evolutionary algorithm to optimize both objective functions while leveraging the unique temporal dynamics of SNNs. We also introduce a new Adjusted Sparsity-Aware Hamming Distance (ASAHD) that enhances the evaluation of potential architectures by representing diverse spike activation patterns for different types of spiking neurons. Experimental results on CIFAR-10, CIFAR-100, and Tiny-ImageNet-200 datasets demonstrate that MONAS-ESNN identifies SNN architectures that have higher accuracy and are more efficient, as measured by the number of generated spikes, than existing methods. Therefore, the proposed MONAS-ESNN can automate the search and discovery of SNN architectures with higher accuracy, fewer generated spikes, and faster convergence paving the way for more energy-efficient neural networks.

关键词： Training Measurement Accuracy Neurons Computer architecture Spiking neural networks linear programming Energy efficiency Neural architecture search Hamming distances

来源：评论

学校读者我要写书评

暂无评论

Efficient Battery Deployment in Power Distribution with Solar-Integrated Networks

Efficient Battery Deployment in Power Distribution with Sola...

引用

IEEE Texas Power and Energy Conference (TPEC)

作者： Farzad Ferdowsi Shahab Mehraeen Mohammadamin Moghbeli Thomas Field University of Louisiana at Lafayette LA USA Louisiana State University Baton Rouge USA Entergy Corporation Jackson USA

ISBN: (数字)9798331541125

ISBN: (纸本)9798331541132

High penetrations of the intermittent distributed energy resources in the distribution systems such as rooftop and community solar systems can lead to voltage control and flicker issues. In this study, an efficient vault-based battery deployment is investigated to mitigate the adverse effects of grid-connected solar systems on voltage rise and flicker with minimum cost. The fast fluctuations in solar power can be remedied by addition of aggregated battery storage systems into the distribution system. A linear programming (LP) optimization problem is used that enables the utility to determine the optimum battery size for both energy and power ratings. Technical constraints such as ramp rate control and charge/discharge cycles factors affecting battery degradation are also taken into consideration. Furthermore, an optimum battery dispatch algorithm is developed through the LP optimization problem. Analysis shows that high power ratings is needed to compensate for rapid fluctuations in the solar profile, whereas the required energy capacity is much less, and using a fast-response storage device along with the battery can significantly reduce the battery size and reduce battery costs.

关键词： Fluctuations Costs Distribution networks linear programming Stability analysis Batteries Solar system Solar panels Voltage control Optimization

来源：评论

学校读者我要写书评

暂无评论

Task allocation for multi-agent systems via unequal-dimensional optimal transport

arXiv

引用

arXiv 2025年

作者： Dong, Anqi Johansson, Karl H. Karlsson, Johan Division of Decision and Control Systems Department of Mathematics KTH Royal Institute of Technology StockholmSE-100 44 Sweden Division of Decision and Control Systems and Digital Futures KTH Royal Institute of Technology StockholmSE-100 44 Sweden Department of Mathematics and Digital Futures KTH Royal Institute of Technology StockholmSE-100 44 Sweden

We consider a probabilistic model for large-scale task allocation problems for multi-agent systems, aiming to determine an optimal deployment strategy that minimizes the overall transport cost. Specifically, we assign transportation agents to delivery tasks with given pick-up and drop-off locations, pairing the spatial distribution of transport resources with the joint distribution of task origins and destinations. This aligns with the optimal mass transport framework where the problem and is in the unequal-dimensional setting. The task allocation problem can be thus seen as a linear programming problem that minimizes a quadratic transport cost functional, optimizing the energy of all transport units. The problem is motivated by time-sensitive medical deliveries using drones, such as emergency equipment and blood transport. In this paper, we establish the existence, uniqueness, and smoothness of the optimal solution, and illustrate its properties through numerical *** Codes 91B32, 93A16, 91B68, 90B06 © 2025, CC BY.

关键词： linear programming

来源：评论

学校读者我要写书评

暂无评论

Cognitive Parameter Extraction for Space Mapping Design Optimization

Cognitive Parameter Extraction for Space Mapping Design Opti...

引用

IEEE MTT-S Latin America Microwave Conference (LAMC)

作者： José E. Rayas-Sánchez Department of Electronics Systems and Informatics ITESO – The Jesuit University of Guadalajara Tlaquepaque Jalisco Mexico

ISBN: (数字)9798331540401

ISBN: (纸本)9798331540418

Parameter extraction (PE) is a key subproblem of space mapping (SM) design optimization. It consists of a local alignment between the coarse and fine models at each SM iteration. In this work, cognition-driven PE is proposed for SM. In contrast to classical PE, where the full fine model responses are used as targets, the proposed cognitive PE focuses on key features of the fine model response selected from an engineering perspective. It is demonstrated that the proposed cognitive PE approach: 1) yields more accurate extracted parameters regardless of the type of PE objective function employed; and 2) achieves a more meaningful matching to the fine model target response and with less variability. To proof this with independence of the optimization method employed for PE, plots of the PE objective functions are presented over large regions of the coarse model design space. Two synthetic examples are used to support these findings.

关键词： Knowledge engineering Accuracy Space mapping linear programming Feature extraction Microwave theory and techniques Parameter extraction

来源：评论

学校读者我要写书评

暂无评论

Optimization Decision for Medical Waste Reverse Logistics Location Based on Genetic Algorithm

Optimization Decision for Medical Waste Reverse Logistics Lo...

引用

Electronics, Energy Systems and Power Engineering (EESPE), IEEE International Conference on

作者： Shiguan Yu Huifang Jiao Shenzhen Institute of Information Technology Shenzhen City Guangdong Province China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

This research focuses on the site selection problem of medical waste recovery points, considering its unique characteristics, and constructs an objective function incorporating multiple elements such as recovery point coverage radius, medical waste capacity constraints, and transportation distances. To efficiently address this complex site selection problem, we employed a genetic algorithm-based site selection model, combined with improved solution strategies to solve the model, significantly enhancing the algorithm's efficiency and quality. In practical implementation, we integrated the powerful mathematical simulation programming tool, Matlab R2021a, with our genetic algorithm model to solve specific case studies. The experimental results validated the effectiveness and practicality of the genetic algorithm model in addressing medical waste recovery point site selection problems, providing a robust theoretical foundation for related decision-makers. This study not only showcases the significant role of computer science in solving complex problems but also offers new insights and methodologies for algorithm optimization and application. It underscores the importance of computational approaches in contributing to better decision-making, particularly in intricate logistics network optimization challenges.

关键词： Waste recovery Computational modeling Reverse logistics programming linear programming Mathematical models Resource management MATLAB Optimization Genetic algorithms

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：