检索结果-内蒙古大学图书馆

A multi-objective synergistic optimization model considering the water-energy-food-carbon nexus and bioenergy

AGRICULTURAL WATER MANAGEMENT 2025年 312卷

作者： Yang, Gaiqiang Su, Yuxin Huo, Lijuan Guo, Dongpeng Wu, Yusi Taiyuan Univ Sci & Technol Sch Environm & Resources Taiyuan 030000 Shanxi Peoples R China Agr Hydropower Dept Dept Water Resources Shanxi Prov Taiyuan 030002 Shanxi Peoples R China Shanxi Yumenkou Yellow River Water Grp Co Ltd Taiyuan 030013 Shanxi Peoples R China

As global climate change continues to pose significant challenges, it is increasingly essential to explore sustainable agricultural development strategies. This study aims to develop a multi-objective collaborative optimization model, using the Fen River Irrigation District as a case study. It examines strategies based on the water- energy-food-carbon nexus and seeks to maximize bioenergy production. The research methodology integrates multi-objective optimization theory with the ideal point method to obtain optimization solutions. This approach ensures the maximization of bioenergy output while minimizing carbon emissions and economic costs. The findings reveal that optimized bioenergy production in the study area can reach 1.17 x 1012 J, with contributions of 29.50 % from agriculture and 70.50 % from animal husbandry. Notably, animal husbandry emerges as the primary source of bioenergy production, generating 8.27 x 1011 J, predominantly from pigs, followed by sheep and cattle. The total optimized agricultural cultivation area is determined to be 6.76 x 104 ha, with corn taking the largest share at 73.86% of the total cultivated area, which improves the economic benefits of agriculture while increasing the production of bioenergy. Fruits and vegetables account for 8.69%, wheat for 3.45%, and legumes for 13.99%. In terms of the economic and environmental implications of bioenergy production, agriculture contributes more significantly to the agricultural economy compared to animal husbandry. Carbon dioxide (CO2) emissions are the major contributor to overall carbon emissions, followed by methane (CH4). The optimized allocation of water resources results in a more reasonable ratio between surface water and groundwater supply, with 0.41 x 108 m3 coming from groundwater and 1.93 x 108 m3 from surface water, effectively alleviating the problem of regional water resources tension and guaranteeing the long-term stability of agricultural production. The optimization model f

关键词： Fen River irrigation district Water-energy-food-carbon nexus multi-objective optimization model Bioenergy Carbon emissions

来源：评论

学校读者我要写书评

暂无评论

multi-objective optimization model for Seru Production System Formation under Uncertain Condition 14

Multi-objective Optimization Model for Seru Production Syste...

引用

14th International Conference on Service Systems and Service Management (ICSSSM)

作者： Wang, Ye Tang, Jiafu Dongbei Univ Finance & Econ Sch Management Sci & Engn Dalian Peoples R China

ISBN: (纸本)9781509063710

With the increasing of demand diversification and short product lifecycle, industries encounter challenges of demand uncertainty. Japanese seru production system has received more attention with its efficiency and flexibility. In this paper, a problem of seru production system formulation under uncertain condition is researched. A multi-objective optimization model of seru production system formulation problem is developed to minimize the cost and maximize the service level of the system. The purpose of this paper is to formulate an energy production system which can response to the stochastic demand efficiently. Sample average approximation is used to approximate the expected objective of the programming. Non-dominated sorting genetic algorithm II (NSGA-II) is improved to solve the multi-objective optimization model. Numerical experiments are conducted to test the tradeoff between cost and service level.

关键词： Japanese cellular manufacturing seru production system service level multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

Research on a robust multi-objective optimization model of gate assignment for hub airport

引用

TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH 2018年第4期10卷 229-241页

作者： Deng, Wu Zhao, Huimin Yang, Xinhua Li, Dongyan Li, Yuanyuan Liu, Jingjing Dalian Jiaotong Univ Software Inst Dalian Peoples R China Dalian Jiaotong Univ Dalian Key Lab Welded Struct & Its Intelligent Mf Dalian Peoples R China Southwest Jiaotong Univ Tract Power State Key Lab Chengdu Sichuan Peoples R China Guangxi Univ National Key Lab Guangxi High Sch Complex Syst & Computat Nanning Peoples R China

Gate assignment is one of the important tasks in the airport. The goal is to appoint an appropriate gate for the arrival or departure flight and ensures the flights are on schedule. So an appropriate and efficient gate assignment model can effectively decrease the flight delays and improve operation efficiency as well as service quality since it plays a major role in increasing revenues. In this paper, the multi-commodity network flow model is analyzed. And a robust multi-objective optimization model of gate assignment based on the objective of minimizing total time for passengers and balancing idle time for each gate is proposed to improve the service level and satisfaction of passengers and utilization rate of gates. The weighting method of linear is used to translate the multi-objective optimization model into the single objective optimization model. And ILOG CPLEX optimizer is used to solve the optimization model of gate assignment in order to obtain the reasonable gate assignment result. The schedule data of 116 flights from Sheyang Taoxian International Airport of China are used to validate the effectiveness of the constructed optimization model. And the multi-objective optimization model is compared with the existing mathematical model of gate assignment. The calculation and comparison results show that the constructed optimization model can significantly improve the assignment efficiency and satisfaction, and balance the utilization rate of gates. So the constructed optimization model of gate assignment can effectively provide a valuable reference for assigning gates.

关键词： Gate assignment multicommodity network flow model multi-objective optimization model multi-constraint weighting method of linear hub airport CPLEX

来源：评论

学校读者我要写书评

暂无评论

Identification of mutated driver pathways in cancer using a multi-objective optimization model

引用

COMPUTERS IN BIOLOGY AND MEDICINE 2016年 72卷 22-29页

作者： Zheng, Chun-Hou Yang, Wu Chong, Yan-Wen Xia, Jun-Feng Anhui Univ Coll Elect Engn & Automat Hefei 230601 Anhui Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China Anhui Univ Inst Hlth Sci Hefei 230601 Anhui Peoples R China

New-generation high-throughput technologies, including next-generation sequencing technology, have been extensively applied to solve biological problems. As a result, large cancer genomics projects such as the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium are producing large amount of rich and diverse data in multiple cancer types. The identification of mutated driver genes and driver pathways from these data is a significant challenge. Genome aberrations in cancer cells can be divided into two types: random 'passenger mutation' and functional 'driver mutation'. In this paper, we introduced a multi-objective optimization model based on a Genetic Algorithm (MOGA) to solve the maximum weight submatrix problem, which can be employed to identify driver genes and driver pathways promoting cancer proliferation. The maximum weight submatrix problem defined to find mutated driver pathways is based on two specific properties, i.e., high coverage and high exclusivity. The multi-objective optimization model can adjust the trade-off between high coverage and high exclusivity. We proposed an integrative model by combining gene expression data and mutation data to improve the performance of the MOGA algorithm in a biological context. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Driver pathways multi-objective optimization model Genetic algorithm Integrative model Driver mutation

来源：评论

学校读者我要写书评

暂无评论

A multi-objective optimization model for determining urban energy systems under integrated energy service in a specific area

引用

ELECTRICAL ENGINEERING IN JAPAN 2004年第3期147卷 20-31页

作者： Sugihara, H Komoto, J Tsuji, K Osaka Univ Suita Osaka 565 Japan

The integrated energy service system for a specific area is supposed to deliver electric and thermal energy in an integrated manner for the purpose of reducing cost, primary energy consumption, and CO2 emission. Under an assumption of the service system, this paper develops a multi-objective optimization model for determining urban energy systems. Considering the various energy system alternatives, such as photovoltaic generations for residential houses and fuel-cell cogenerations for business and commercial customers, the model determines the share of the energy system alternatives in order to minimize the above three indices. As numerical examples, this paper illustrates trade-off analyses in the case when the proposed model is applied to a 2 km x 2 km square area in Osaka. Finally, this paper illustrates the role of various energy system alternatives from CO2 reduction and fossil energy reduction points of view. (C) 2004 Wiley Periodicals, Inc.

关键词： urban energy system multi-objective optimization model integrated energy service dispersed-type generators

来源：评论

学校读者我要写书评

暂无评论

A multi-objective optimization model based on immune algorithm in wireless mesh networks

引用

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 2016年第1期29卷 155-169页

作者： Chen, Jing He, Kun Du, Ruiying Yu, Fajiang Yuan, Quan Wang, Lina Fu, Cai Wuhan Univ Sch Comp Wuhan 430072 Hunan Peoples R China Univ Texas Permian Basin Dept Math & Comp Sci Odessa TX USA Huazhong Univ Sci & Technol Comp Dept Wuhan 430074 Peoples R China

With the characteristics of high self-organized, dynamic, and interoperable, the wireless mesh network (WMN) is deemed as a potential technology to be applied widely for home, enterprise, and social public service. Many current optimization schemes usually focus on a single metric such as network deployment cost, throughput, QoS, and so on, but few schemes consider that the optimized metric may affect other metrics of WMN. In practice, the influence among the different metrics is often nonignorable. To optimize the performance from a global perspective, we propose a multi-objective optimization model based on immune algorithm (MOM-IA), which provides a paradigm to find the optimal solution satisfying some different restriction conditions. To simplify, MOM-IA mainly analyzes the restriction relationship of connectivity, redundancy, and throughput, which are the multiple objects. Considering the characteristic of dynamic and the discrete integer parameters in WMN, we design a longtime evolution immune algorithm to solve the MOM. Finally, the analysis of experiments presents that MOM-IA has good performance in solution set diversity and Pareto-front distribution, which means the probability to find the optimal solution in WMN. Copyright (c) 2014 John Wiley & Sons, Ltd.

关键词： WMNs multi-objective optimization model immune algorithm

来源：评论

学校读者我要写书评

暂无评论

A multi-objective optimization model of urban passenger transportation structure under low-carbon orientation considering participating subjects

引用

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2023年第54期30卷 115839-115854页

作者： Li, Xinguang Zhan, Jun Pan, Fuquan Lv, Tong Wang, Shen Qingdao Univ Technol Sch Mech & Automot Engn Qingdao 266000 Shandong Peoples R China

The optimization of urban passenger transport structure can effectively save energy and reduce the carbon emission of transport. However, the carbon emission and energy consumption generated by the construction of transport projects are worthy of attention. In this paper, a multi-objective optimization model of urban passenger transport structure oriented to low carbon is proposed considering passenger, operator, and construction. The optimal solution of the model is obtained based on the NSGA-II algorithm, and the validity of the model is verified with a case of Qingdao. The optimal ratio of Qingdao passenger traffic structure considering only the passenger perspective (PS), considering the passenger and operator (POS), and considering the three parties together (POCS) is obtained, respectively. The results show that the optimal structures obtained by the PS, POS, and POCS models increase the public transport passenger share by 12.74%, 20.74%, and 23.70%, compared with the actual values. From both the supply and demand sides, there has been an increase in the passenger share of public transport. The POS model is more suitable for solving structural optimization problems that do not involve construction carbon emissions in the short term. The POCS model is more suitable for long-term comprehensive structural optimization problems. The results of the study provide a reference basis for optimizing the urban passenger transport structure.

关键词： Low-carbon transportation Urban passenger transportation structure multi-objective optimization model Traffic carbon emission NSGA-II algorithm Participating subject

来源：评论

学校读者我要写书评

暂无评论

Atmospheric environmental changes and a multi-objective optimization model for energy conservation and environmental protection based on improved multi-population genetic algorithm

引用

ARABIAN JOURNAL OF GEOSCIENCES 2021年第10期14卷 1-17页

作者： Shi, Jianguo China Univ Min & Technol Sch Management Xuzhou 221116 Jiangsu Peoples R China

With the development of computer technology and theory, cloud computing technology suitable for modern computing and large-capacity storage has emerged. Cloud computing technology depends on the Internet. The advancement and development of virtualization technologies such as cloud computing technology is the most cited of current computer technologies. With the development of cloud computing technology, this paper proposes a multi-group genetic algorithm based on interactive multi-functional processing methods, which can achieve the expectation of reducing the energy consumption of the cloud computing center to the greatest extent and at the same time ensure the stability and the running state of the server effectiveness. Through this survey, while reducing the company's operating costs, it will also contribute to energy conservation and environmental protection. multi-group genetic algorithms can effectively overcome the shortcomings of standard genetic algorithms, such as optimization range and efficiency, number of iterations, and premature end of iteration. The optimized result can reflect the subjective will of the decision-maker. Experimental examples show the efficiency of the algorithm, and the results show the applicability and feasibility of the algorithm. Based on the changes in the global atmospheric environment in recent years, this article discusses the reasons for the changes and focuses on the impact of human activities. In addition, the environmental issues that have received much attention today are the clues to discuss the climate issues and the harmful effects brought about by changes in the atmospheric environment, which has aroused people's attention to energy conservation and environmental protection.

关键词： Changes in atmospheric environment Improved multi-population genetic algorithm Energy saving and environmental protection multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

Feedback Analysis of Thinking model in Mathematical Problem Solving Combining multi-objective optimization model 11

Feedback Analysis of Thinking Model in Mathematical Problem ...

引用

11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

作者： Jiang, Minghong Hulunbuir Univ Hulunbeier 021008 Inner Mongolia Peoples R China

ISBN: (纸本)9781728121659

The thinking model in mathematical problem solving (hereinafter referred to as TMMPS for short) is a kind of thinking model in the mathematical problem solving based on the multi-objective optimization model. In this paper, a method for the feedback analysis of the thinking model in the mathematical problem solving combining the multi-objective optimization model is put forward. Based on the TMMPS, the multi-objective optimization model is added after the student stage to increase the learning efficiency of the students, maintain the characteristics of student diversity, and improve the independent learning abilities of the students for mathematics. The simulation results show that the TMPPS has advantages in both the optimization accuracy and the stability compared with other models.

关键词： optimization Accuracy Mathematical Problem Solving Thinking model Dynamic Learning multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

Study on multi-objective optimization model for VMS Layout on Expressways

Study on Multi-objective Optimization Model for VMS Layout o...

引用

3rd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2013)

作者： Wang, Jianjun Wu, Qiong Changan Univ Sch Highway Minist Educ Key Lab Special Area Highway Engn South 2nd Ring Rd Xian Peoples R China Changan Univ Sch Highway Xian Peoples R China

ISBN: (纸本)9783037857779

In order to determine layout location of variable message signs(VMS) scientifically and reasonably and give full play to its transportation guidance effect, the optimal selection method of expressways VMS layout location is studied based on general rules and requirements of expressways network VMS layout. Construct the multi-objective optimization model of VMS information utilization maximum, VMS effectiveness and VMS total cost minimum based on fuzzy constraint conditions, and the Hang-Jin-Qu expressway VMS layout is analyzed. The results show that the proposed multi-objective optimization model is more in line with the actual need of VMS layout and easy to operate, and has important practical value.

关键词： VMS Location Problem Optimal Layout multi-objective optimization model

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：