检索结果-内蒙古大学图书馆

Optimal configuration of a wildlife corridor system

GLOBAL ECOLOGY AND CONSERVATION 2023年 46卷

作者： Wang, Yicheng Qin, Peng Li, Shimei Onal, Hayri Qingdao Agr Univ Coll Resources & Environm Qingdao 266109 Peoples R China Qingdao Agr Univ Coll Landscape Architecture & Forestry Qingdao 266109 Peoples R China Univ Illinois Dept Agr & Consumer Econ Urban Champaign IL 61801 USA

Establishing wildlife corridors to link detached habitat patches is a widely advocated conservation strategy to reduce the adverse impacts of habitat fragmentation. Given the scarcity of conservation resources, designing an efficient corridor system calls for an optimization approach. The optimal configuration of a wildlife corridor system involving multiple habitat patches poses significant challenges, both methodologically and computationally. This study proposes a twostage procedure for that purpose. In the first stage, we determine a best-quality corridor between each pair of habitat patches using the method described in Wang et al. (2022). In the second stage, we select a subset of those corridors to assemble a least-cost corridor system using a mixed integer linear programming model presented in this paper. We use an illustrative example to demonstrate the workings of the two-stage method, and then apply it to a real dataset for an area in Cumberland County, Nova Scotia, Canada, involving 1039 irregular land parcels. Results show that an efficient corridor system where each habitat patch is connected to some neighboring habitat patches through a specified minimum number of corridors can be identified conveniently in terms of both data processing and computational effort.

关键词： Habitat fragmentation Wildlife corridor mixed integer linear programming Spatial optimization Conservation planning Biological conservation

来源：评论

学校读者我要写书评

暂无评论

Scalable Approximate Optimization of Objective Functions Represented by Random Forests

Scalable Approximate Optimization of Objective Functions Rep...

引用

Mediterranean Conference on Control and Automation (MED)

作者： Marco Leonesio Lorenzo Fagiano Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing - National Research Council of Italy (STIIMA - CNR) Milano Italy Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Piazza Milano Italy

ISBN: (数字)9798350395440

ISBN: (纸本)9798350395457

The problem of global optimization of an objective function represented by a Random Forest (RF) is considered. A method to obtain an approximate solution at low computational complexity is proposed, resorting to the inherent structure of an RF, which is a non-parametric model that partitions the feature space in convex polytopes according to the training data. The approach selects the optimal solution inside the polytopes corresponding to the best data points. It is shown that the proposed approximate method is significantly more efficient, thus applicable at large scale, than extensive global search algorithms, such as gridding and mixed integer linear programming (MILP), which in turn provide exact solutions. The efficiency and sub-optimality of the approach are evaluated on RFs trained on a dataset generated by sampling a bivariate, discontinuous and non-convex benchmark function from the literature.

关键词： Radio frequency Computational modeling Training data linear programming Data models Partitioning algorithms mixed integer linear programming

来源：评论

学校读者我要写书评

暂无评论

A Solution Based on Hub Selection and Robot Routing Optimization for Last-mile Delivery

A Solution Based on Hub Selection and Robot Routing Optimiza...

引用

IEEE International Conference on Automation Science and Engineering (CASE)

作者： Maria A. del Cacho Estil-les Wasim A. Ali Maria Pia Fanti Mario Binetti Agostino M. Mangini Department of Electrical and Information Engineering Polytechnic of Bari Italy DICATECh Polytechnic of Bari Italy

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

This paper addresses the challenges in last-mile delivery by proposing an innovative solution employing Hub-and-Robots routing, strategically utilizing park-and-ride facilities as central hubs to optimize urban delivery operations. The increasing demand for rapid and efficient deliveries has necessitated a reevaluation of traditional delivery methodologies. The study focuses on optimizing last-mile delivery operations, minimizing the total distance of the routes traveled by robots, while satisfying customer requirements. Hub selection, leveraging existing infrastructure, and the potential use of park-and-ride facilities emerge as key considerations. The optimization model is applied to a case study involving two districts of the center of Bari (a city of Southern Italy) and a simulation validates the obtained results.

关键词： Systematics Computer aided software engineering Optimization models Scalability Heuristic algorithms Urban areas Routing mixed integer linear programming Resource management Optimization

来源：评论

学校读者我要写书评

暂无评论

A Computationally Efficient Approach to Account for Stochastic Delays in Multi-Robot Task Allocation in a Proactive Manner

A Computationally Efficient Approach to Account for Stochast...

引用

IEEE International Conference on Automation Science and Engineering (CASE)

作者： Shengqiang Chen Quan Nguyen Satyandra K. Gupta Department of Aerospace and Mechanical Engineering University of Southern California Los Angeles CA

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Delays play an important role in the overall performance of multi-robot missions. Delays can be handled in a reactive manner by replanning or can be handled proactively by selecting task allocations that are robust to delays. mixed integer linear programming (MILP) has emerged as a useful tool for solving multi-robot task allocation problems. The possibility of delays can be incorporated by sampling many different delay scenarios and generating an optional solution for each scenario. The solution that leads to the most robust performance is selected as the overall solution. Unfortunately, generating a large number of delay scenarios and computing the robustness of each solution by evaluating it using every sampled delay scenario is computationally very slow. This paper presents a method for speeding up computations by pruning solutions based on a similarity index. We evaluate the proposed approach using assembly and disinfection applications. We show that our approach leads to very good solutions with a modest computational effort.

关键词： Computer aided software engineering Automation Machine learning Robustness Probability distribution Delays Computational efficiency mixed integer linear programming Resource management Indexes

来源：评论

学校读者我要写书评

暂无评论

Research of Greenhouse Heating Based on Photovoltaic, Heat Pump and Thermal Storage System: A Case Study in Beijing

Research of Greenhouse Heating Based on Photovoltaic, Heat P...

引用

Energy Engineering and Power Systems (EEPS), International Conference on

作者： Zhehan Zhong Jixue Wang Guodong Chen Bing Liu Xiaolei Li Shuo Yang Zheng Li Electric Power Planning & Engineering Institute Beijing China Department of Energy and Power Engineering Tsinghua University Beijing China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

This study focuses on the global demand for renewable energy heating, and proposes a scheme that combines photovoltaic panels, heat pumps, and thermal storage to offer heat to agricultural greenhouses. Initially, a computational model of the system is developed, with the economic aspect as the objective function, energy and power balances as constraints, actual meteorological conditions of Beijing as boundary conditions. Subsequently, the model is optimized through the MILP (mixed integer linear programming) in Gurobi to ascertain the minimal annual cost of the system and the scales of its components. Finally, a comparative analysis with the prevailing heating price of Beijing reveals the proposed scheme's technological and financial viability.

关键词： Photovoltaic systems Renewable energy sources Costs Heat pumps Cogeneration Computational modeling Greenhouses linear programming mixed integer linear programming Resistance heating

来源：评论

学校读者我要写书评

暂无评论

Reliability Assessment of Distribution Systems Considering the Effects of Cyber Failures

Reliability Assessment of Distribution Systems Considering t...

引用

Intelligent Power and Systems (ICIPS), International Conference on

作者： Xuan Fang Wenrui Zhou Jiahao Liang Juntao Li Siguang Zheng Bohuai Yan Guangzhou Bureau of China Southern Power Grid EHV Transmission Company Guangzhou China College of Electrical Engineering & New Energy China Three Gorges University Yichang China The School of Electrical and Information Engineering Tianjin University China College of Science Hongkong Baptist University Hongkong China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

The traditional reliability assessment methods for cyber-physical distribution systems suffer from low computational efficiency and accuracy, as well as insufficient consideration of cyber systems. This article deeply analyzes the impact of cyber systems failures on the reliability of distribution networks, and uses optimization methods to solve the reliability of distribution systems. The reliability assessment method proposed in this article has the advantage of precise evaluation.

关键词： Accuracy Optimization models Distribution networks Planning mixed integer linear programming Computational efficiency Reliability Information systems

来源：评论

学校读者我要写书评

暂无评论

The Vehicle Routing Problem with Drones and Flexibility Demands

The Vehicle Routing Problem with Drones and Flexibility Dema...

引用

Congress on Evolutionary Computation

作者： Tran Thi Hue Bao Nguyen Quoc Nguyen Pham Phu Manh Nguyen Khanh Phuong Huynh Thi Thanh Binh Dang Quang Thang Hanoi University of Science and Technology Hanoi Vietnam Banking Academy of Vietnam

ISBN: (数字)9798350308365

ISBN: (纸本)9798350308372

In recent years, the Vehicle Routing Problem, with its variants handling complex realistic constraints, continues to be a key area of research, reflecting its enduring importance in modernized societies. Nevertheless, less attention has been paid to the variant with the flexibility of customer demands. This paper introduces the problem of addressing the integration of drones into the existing transportation system to maximize the profit of distributing freight during a limited working time by allowing flexibility in the delivered quantity. We propose a mixed integer linear programming (MILP) formulation and a genetic algorithm (GA) to solve the problem. To assess the proposed algorithm, we create the benchmark instances of the problem from published data sources. Experimental results on the instances show a significantly better performance of our proposal than MILP. Moreover, we evaluate our approach by comparing its performance with existing solutions in published closely related works.

关键词： Power demand Soft sensors Vehicle routing Transportation Benchmark testing mixed integer linear programming Proposals

来源：评论

学校读者我要写书评

暂无评论

Advancing Multi-Energy Hub Design: an Integrated Approach for Optimizing Residential Clusters in High RES Penetration Scenarios

Advancing Multi-Energy Hub Design: an Integrated Approach fo...

引用

International Conference on Smart Energy Systems and Technologies (SEST)

作者： Marialaura Di Somma Lingkang Jin Nicola Bianco Christina Papadimitriou Department of Industrial Engineering University of Naples Federico II Naples Italy Electrical Engineering Department Eindhoven University of Technology Eindhoven Netherlands

ISBN: (数字)9798350386493

ISBN: (纸本)9798350386509

With the energy transition underway, the wider penetration of multi-energy hubs (MEHs) is inevitable as they allow for the integration of multiple energy carriers at the local level and especially at the users' side by enhancing flexibility of energy supply and renewabIes penetration. Thus, addressing their design properly is imperative. While numerous energy modeling software and tools are extensively discussed in the literature, they primarily focus on a single energy carrier, mainly dedicated to the electrical network. In this study, an optimization planning tool capable of analyzing the synergies of various energy carriers is presented. The tool aims to determine the optimal configuration of MEHs with sizes of the chosen technologies based on the modeler's preferences. The tool offers flexibility in modelling a wide range of technologies as potential options for the optimal configuration, and in considering different types of objectives as economic and environmental ones that can be assessed through a multi-objective approach. It is formulated through mixed-integer linear programming in a modular manner, facilitating the easy implementation of new emerging technologies, by enhancing scalability and applicability in real context. To prove the effectiveness of the optimization tool, it is applied for the design of a MEH for a residential building cluster located in Torino (Italy). Different scenarios are analyzed to determine the impact of high levels of renewabIes penetration on the design of the MEH while guaranteeing the economic sustainability of the solution.

关键词： Economics Scalability Biological system modeling Buildings linear programming Software Planning mixed integer linear programming Sustainable development Optimization

来源：评论

学校读者我要写书评

暂无评论

A Multi-Objective Train Timetable Rescheduling Model During the Transitional Period

A Multi-Objective Train Timetable Rescheduling Model During ...

引用

International Conference on Intelligent Transportation

作者： Hao Peng Shiqi Zhang Shuai Su Du Shang Zhikai Wang State Key Laboratory of Advanced Rail Autonomous Operation Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing P. R. China Beijing Mass Transit Railway Operation Co. Ltd.

ISBN: (数字)9798331505929

ISBN: (纸本)9798331505936

In a metro system, train delays cause inconvenience to passengers and render the scheduled timetable infeasible. This paper addresses the problem of train timetable rescheduling and rolling stock circulation planning, with a particular focus on train delays occurring during the transitional period from peak to off-peak hours. Considering both operating costs and passenger service quality, this paper proposes a multi-objective optimization model to minimize the number of stranded passengers at platforms, train delays, and train service cancellations. Additionally, a strategy of adding temporary train services is considered to accommodate the change in passenger flow. Further, some linearization methods are used to transform this model into a mixed integer linear programming (MILP) problem, which can be effectively solved using the CPLEX optimizer. Finally, computational experiments are conducted using realistic case studies based on the Beijing Yizhuang line, incorporating scenarios with randomly induced delays. The experimental results show that the proposed rescheduling method in this study can reduce the number of stranded passengers due to train delays during the transitional period, and a feasible solution can be found in a short time.

关键词： Costs Computational modeling Optimization models Transforms Delays Planning mixed integer linear programming Computational efficiency Artificial intelligence Intelligent transportation systems

来源：评论

学校读者我要写书评

暂无评论

Optimization of Port Integrated Energy Systems Considering the Dissatisfaction of Port Operators with Hydrogen Safety

Optimization of Port Integrated Energy Systems Considering t...

引用

IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Kai Ma Yingye Zhang Kun Yang Shiliang Guo Yong Yang Jie Yang School of Electrical Engineering Yanshan University Qinhuangdao China School of Civil Engineering and Mechanics Yanshan University Qinhuangdao China State Grid Handan Electric Power Supply Company Handan China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

Hydrogen energy, as a clean energy source, is increasingly being applied to port operations. However, previous studies on hydrogen energy applications have largely overlooked the impact of hydrogen energy safety on system design. This paper introduces prospect theory in the context of hydrogen-containing ports and proposes a safety dissatisfaction model for port operators based on this theory, which innovatively incorporates their considerations of hydrogen energy safety into the analytical framework. An optimization model of port integrated energy system based on hydrogen safety is developed and formulated as a mixed-integer linear programming problem. The optimization model effectively reduces the operation cost and operator dissatisfaction level of the port through the simulation of a large port example, which validates the effectiveness of the proposed model.

关键词： Green energy Costs Optimization models Hydrogen System integration Safety mixed integer linear programming Optimization System analysis and design Energy storage

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：