检索结果-内蒙古大学图书馆

2nd Decision Science Alliance International Summer Conference-DSA ISC

作者： Baldomero-Naranjo, Marta Boccia, Maurizio Mancuso, Andrea Masone, Adriano Rodriguez-Chia, Antonio M. Sterle, Claudio Univ Cadiz Fac Ciencias Dept Estadist & Invest Operativa Puerto Real 11510 Spain Univ Naples Federico II Dept Elect Engn & Informat Technol DIETI Via Claudio 21 I-80125 Naples Italy Natl Res Council Italy Inst Syst Anal & Comp Sci Antonio Ruberti IASI Via Taurini 19 I-00185 Rome Italy

ISBN: (纸本)9783031782404;9783031782411

In this study, we introduce the Covering Tour Problem with Arc Upgrade (CTPAU), an extension of the Covering Tour Problem (CTP) that exploits the possibility of enhancing the network by upgrading arcs. The CTP is defined on a graph consisting of three sets of nodes: those requiring coverage, those eligible to provide coverage, and a subset of the latter which must be visited. The objective is to determine the minimum cost tour that complies with both visiting and covering requirements. We introduce a further aspect on the problem given by the possibility of arc upgrades. Such upgrades decrease the length of an arc, usually within specific limits, incurring a cost directly proportional to the degree of reduction. Thus, the CTPAU aims to determine the minimum cost tour that meets the CTP requirements and incorporates the possibility of upgrading arcs, satisfying a budget constraint. To address this problem, we developed a mixed integer linear programming formulation and conducted experiments on benchmark instances from TSPLIB to assess our approach.

关键词： Covering Tour Problem Arc Upgrade mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Process Tree Alignments 28th

Process Tree Alignments

引用

28th International Conference on Enterprise Design, Operations, and Computing, EDOC 2024

作者： Schwanen, Christopher T. Pakusa, Wied van der Aalst, Wil M. P. RWTH Aachen University Aachen Germany Federal University of Applied Administrative Sciences Brühl Germany

ISBN: (纸本)9783031783371

The state-of-the-art approach for computing alignments is to apply an exhaustive state-space search with a well-tailored A*-heuristic function. If the heuristic fails to provide good estimates, the alignment computation quickly becomes infeasible even for small event logs given the exponential search space. Since intractability is unavoidable for general process models, we here consider the restricted class of process trees which provides a good balance between expressiveness and algorithmic feasibility. As our main result, we prove that alignments on process trees can be expressed as solutions of mixed integer linear Programs (MILP). Our novel approach does not only position the problem inside the class of NP, but also paves the way for applying a host of new optimization techniques from the field of mathematical programming to alignments on process trees. We further show that for process trees without parallel executions, our MILP formulation becomes a linear Program (LP) which can be solved efficiently. This result gives fresh insights into the structure of the alignment problem and the role of concurrency as a key factor for intractability. Finally, we implement our new algorithmic approach in PM4Py and evaluate the performance against the standard algorithms. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Optimal design of thermal storage in hybrid energy systems: application to a laboratory-scale case study with experimental validation 41

Optimal design of thermal storage in hybrid energy systems: ...

引用

41st UIT International Heat Transfer Conference

作者： Bianco, N. Di Somma, M. Graditi, G. Mongibello, L. Univ Napoli Federico II Dipartimento Ingn Ind Naples Italy ENEA Agenzia Nazl Nuove Tecnol Energia & Sviluppo Rome Italy

The benefits of thermal storage in hybrid energy systems (HESs) are multiple, being among others the enhancement of flexibility of the network and of the efficiency in the energy resources use, by also reducing the overall cost of the energy system. Choosing the capacity of TSS to minimize the operational cost of the HES is not a trivial task, depending on several variables existing at both supply and demand sides. The contribution of this paper is to present the experimental validation of an innovative optimization model aiming to identify the optimal capacity of TSS in HESs that maximizes the economic performances. The optimization model is based on a mixed-integer linear programming approach and allows determining the optimal hourly operating strategies of the system components as well as the optimal capacity of the TSS, while minimizing the total daily energy costs. The optimized hourly operation schedule of the HES was simulated experimentally by using one of the systems from the TSS laboratory of ENEA Portici Research Center. The experimental results demonstrated the practical applicability of the proposed optimization model. In fact, a good overlap was found between the results obtained from the implementation of the optimization model with those obtained from the experimental simulation, both considering energy and economic data.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Optimal Risk Scores for Continuous Predictors 10th

Optimal Risk Scores for Continuous Predictors

引用

10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024

作者： Molero-Río, Cristina D’Ambrosio, Claudia LIX CNRS École Polytechnique Institut Polytechnique de Paris Route de Saclay Palaiseau91128 France

ISBN: (纸本)9783031824807

In this paper, we propose a novel mixed-integer Non-linear Optimization formulation to construct a risk score, where we optimize the logistic loss with sparsity constraints. Previous approaches are typically designed to handle binary datasets, where continuous predictor variables are discretized in a preprocessing step by using arbitrary thresholds, such as quantiles. In contrast, we allow the model to decide for each continuous predictor variable the particular threshold that is critical for prediction. The usefulness of the resulting optimization problem is tested in synthetic datasets. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

BOOST: Microgrid Sizing Using Ordinal Optimization

BOOST: Microgrid Sizing Using Ordinal Optimization

引用

2025 IEEE Texas Power and Energy Conference, TPEC 2025

作者： Chehade, Mohamad Fares El Hajj Karaki, Sami The University of Texas at Austin Chandra Department of Electrical and Computer Engineering AustinTX United States American University of Beirut Electrical and Computer Engineering Department Beirut Lebanon

ISBN: (纸本)9798331541125

The transition to sustainable energy systems has highlighted the critical need for efficient sizing of renewable energy resources in microgrids. In particular, designing photovoltaic (PV) and battery systems to meet residential loads is challenging due to trade-offs between cost, reliability, and environmental impact. While previous studies have employed dynamic programming and heuristic techniques for microgrid sizing, these approaches often fail to balance computational efficiency and accuracy. In this work, we propose BOOST, or Battery-solar Ordinal Optimization Sizing Technique, a novel framework for optimizing the sizing of PV and battery components in microgrids. Ordinal optimization enables computationally efficient evaluations of potential designs while preserving accuracy through robust ranking of solutions. To determine the optimal operation of the system at any given time, we introduce a mixed-integer linear programming (MILP) approach, which achieves lower costs than the commonly used dynamic programming methods. Our numerical experiments demonstrate that the proposed framework identifies optimal designs that achieve a levelized cost of energy (LCOE) as low as 8.84 ¢/kWh, underscoring its potential for cost-effective microgrid design. The implications of our work are significant: BOOST provides a scalable and accurate methodology for integrating renewable energy into residential microgrids, addressing economic and environmental goals simultaneously. © 2025 IEEE.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment With Corrective Network Reconfiguration

引用

IEEE TRANSACTIONS ON POWER SYSTEMS 2022年第2期37卷 887-900页

作者： Ramesh, Arun Venkatesh Li, Xingpeng Hedman, Kory Univ Houston Dept Elect & Comp Engn Houston TX 77204 USA Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ 85287 USA

Security-constrained unit commitment (SCUC) model is used for power system day-ahead scheduling. However, current SCUC model uses a static network to deliver power and meet demand optimally. A dynamic network can provide a lower optimal cost and alleviate network congestion. However, due to the computational complexity and the lack of effective algorithms, network reconfiguration has not been included in the SCUC model yet. This paper presents a novel approach to handle the computational complexity in security-constrained unit commitment (SCUC) with corrective network reconfiguration (CNR) while considering the scalability through accelerated-decomposition approach with fast screening non-critical sub-problems of SCUC-CNR. The proposed approach provides substantial computational benefits and is also applicable to SCUC. Simulation results on the IEEE 24-bus system show that the proposed methods are substantially faster without the loss in solution quality while the scalability benefits are demonstrated using larger cases: the IEEE 73-bus system, IEEE 118-bus system and Polish system.

关键词： Generators Indexes Real-time systems Power system reliability Load flow Power system stability Uncertainty Accelerated-decomposition approach benders decomposition corrective transmission switching flexible transmission mixed-integer linear programming network reconfiguration post-contingency congestion relief security-constrained unit commitment topology control

来源：评论

学校读者我要写书评

暂无评论

The system value of optimized battery electric vehicle charging: a case study in South Africa

引用

ELECTRICAL ENGINEERING 2022年第2期104卷 843-853页

作者： Calitz, Joanne R. Bansal, Ramesh C. CSIR Pretoria South Africa Univ Sharjah Dept Elect Engn Sharjah U Arab Emirates Univ Pretoria Dept Elect Elect & Comp Engn Pretoria South Africa

This study quantified the impact of future battery electric vehicle (EV) charging on the least-cost electricity generation portfolio in South Africa (RSA). This was done by performing a capacity expansion optimization of the generation fleet for the year 2040. It was assumed that there would be 2.8 million EVs by 2040, informed by global estimates. Two EV charging scenarios were tested, one using an aggregated fixed charging profile based on existing literature and another where the charging demand was optimized by the power system based on least cost. The results showed that additional capacity was required to meet the demand. For both scenarios, the least-cost capacity investment technologies chosen were the same, although the quantities differed. This indicates that the least-cost technology choice was robust against the charging profiles. The optimized charging profile led to lower system costs and a slightly higher energy share from solar relative to the fixed charging case.

关键词： Electric vehicle (EV) Electric vehicle charging Energy production Generation expansion planning mixed-integer linear programming Solar photovoltaic (PV) Wind

来源：评论

学校读者我要写书评

暂无评论

Efficient Online Path Selection and Workload Allocation for In-Network Computing in MEC 18th

Efficient Online Path Selection and Workload Allocation for...

引用

18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications, WASA 2024

作者： Ouyang, Sheng Zhang, Fanlong Mai, Junyu Chai, Yuan Chen, Quan Tao, Yongchao School of Computer Science and Technology Guangdong University of Technology Guangzhou China Shenzhen Academy of Aerospace Technology Shenzhen China

ISBN: (纸本)9783031714696

In this paper, we study the joint optimization problem of computation path selection and workload allocation for in-network computing at the edge. The existing works, which only consider the end-to-end latency, ignore the operational cost of the servers and the dynamic tasks arrived in an online manner. Thus, we investigate the first online scheduling problem of path selection and workload allocation for in-network computing. Such a problem is modeled as a mixed integer programming problem, which tries to jointly minimize the server operating cost and end-to-end latency. Then, a dynamic 3D-map is constructed to take both the operation cost and end-to-end latency into account. Based on the constructed 3D-map, a cooperative learning based algorithm with ant colony optimization is proposed. Finally, the extensive simulation demonstrates the proposed algorithm shows good robustness and outperforms the state-of-the-art algorithms. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Optimal Scheduling of Electricity-Hydrogen Energy Storage Considering Time-Of-Use Hydrogen Prices 11th

Optimal Scheduling of Electricity-Hydrogen Energy Storage Co...

引用

11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Shen, Qianfeng Zhang, Shaohua Chang, Yixin Wang, Yufan Bai, Yilin Lyu, Chenghao Integrated Innovation Department China EPPEI Smart Energy Co. LTD. Beijing China School of Future Technology Xi’an Jiaotong University Xi’an710049 China School of Electrical Engineering Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9789819788316

The integration of renewable energy sources has significantly advanced sustainability efforts, yet their intermittent nature poses challenges to grid stability. Electricity-Hydrogen (EH) storage systems have emerged as promising solutions to store surplus renewable energy. Existing studies often overlook the technical disparities between Hydrogen Energy Storage Systems (HESS) and Battery Energy Storage Systems (BESS), highlighting the critical importance of considering Time-of-Use (TOU) hydrogen market prices in optimizing EH storage, as TOU pricing schemes incentivize efficient storage resource utilization and grid operation optimization. This paper addresses the pressing need for optimal scheduling strategies for EH storage systems in the context of renewable energy integration. The mathematical model is formulated by conducting comprehensive analyses to assess the economic aspects of EH storage under TOU hydrogen pricing scenarios. Additionally, a solution methodology based on mixed-integer-linear programming (MILP) and rolling optimization is employed to solve the problem. Through the comparative analysis, the results suggest that considering TOU prices of hydrogen can enhance the profitability of hydrogen trading, thereby improving the economic viability of the integrated power system. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： mixed-integer linear programming

来源：评论

学校读者我要写书评

暂无评论

Quantum solution for solving the Bin Packing problem 10

Quantum solution for solving the Bin Packing problem

引用

10th International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Deleplanque, Samuel Durbec, Amelia El Yaagoubi, Amina Univ Lille JUNIA CNRS Cent LilleUMR IEMN 8520 41 Bvd Vauban Lille Valenciennes France Univ Catholique Lille LITL Junia ICL F-59000 Lille France

ISBN: (纸本)9798350373981;9798350373974

Quantum optimization shows significant potential in tackling complex combinatorial challenges, prompting our research exploration into the domain of quantum computing to address the Bin Packing Problem (BPP) through Quadratic Unconstrained Binary Optimization (QUBO) formulations. This work-in-progress paper outlines our proposal for a thorough study that encompasses classical bin packing formulations, initiating with the mixed integer linear Program, followed by a comparative analysis of the corresponding QUBO representations, and adopting a structured approach of Quantum Annealing on the D-Wave machine. While our work is still in progress, continuous comparative analyses are being conducted to evaluate various QUBO formulations, derived from diverse classical bin packing models, aiming to identify the most efficient QUBO for addressing the BPP. On another front, efforts are dedicated to refining the solution process further, with a focus on enhancing the precision of the selected QUBO formulation.

关键词： mixed-integer linear programming

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：