检索结果-内蒙古大学图书馆

multi-objective optimization of construction based on genetic algorithm NSGA-II

INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING 2025年

作者： Zhang, Yingying Wang, Renjie Kaifeng Univ Sch Civil & Architectural Engn 157 Dongjing Ave Kaifeng 475004 Henan Peoples R China Kaifeng Lutong Landscape & Greening Dev Co Ltd Tech Dept Kaifeng Peoples R China

multi-objective optimization, as an important method in architectural design, directly affects the operational efficiency of energy systems by controlling the quality and implementation effectiveness of instructions. To raise the efficiency, quality, and financial savings of building, a multi-objective optimization model grounded on schedule, cost, and quality was studied and designed. During the process, a span model, a span cost model, and a span quality model were established separately. Finally, a multi-objective optimization model for project duration, spend, and quality was established, and an evaluation function for the model was developed based on the Euclidean distance short ideal point method. Genetic algorithm was utilized to manage the model. The experiment outcomes showed that there were 152 working days for a construction period of 320 days, while after optimization, it was only 90 days. The original plan had a span of 350 days and a spend of 3.8 million yuan, respectively. optimization Plan 1 optimized the duration and cost targets of the original plan by 9.38% and 11.76%, respectively, with good optimization results. The research methodology seamlessly incorporates various objectives, including project duration, cost, and quality, proving both feasible and efficient. This approach enhances application effectiveness and elevates the management standards within the realm of project management. Research can provide certain technical references for construction project management.

关键词： Construction of buildings genetic algorithm multi-objective optimization model NSGA-II target management mode

来源：评论

学校读者我要写书评

暂无评论

Evaluation of optimal dam release to achieve agricultural economic-ecological development from stakeholders' perspectives in the Karkheh basin, Iran

引用

JOURNAL OF HYDROLOGY-REGIONAL STUDIES 2025年 57卷

作者： Zahiri, Javad Mirzaei, Abbas Agr Sci & Nat Resources Univ Khuzestan Dept Water Engn Mollasani Iran Agr Sci & Nat Resources Univ Khuzestan Dept Agr Econ Mollasani Iran

Study region: The Karkheh Dam and its sub-basin are located in Khuzestan Province, Iran. The Karkheh Dam has a storage capacity of 7.5 x 109 cubic meters and is the largest dam in Iran by volume. Study focus: The incr... 详细信息

Study region: The Karkheh Dam and its sub-basin are located in Khuzestan Province, Iran. The Karkheh Dam has a storage capacity of 7.5 x 10<^>9 cubic meters and is the largest dam in Iran by volume. Study focus: The increasing demand for agricultural and ecological water, along with fluctuations in dam inflows and volumes, has created significant challenges for the economic-ecological management of dam water resources. Stakeholders' perspectives on ecological protection can also fundamentally alter this management. This study aims to enhance agricultural economicecological development through a novel approach that combines CART decision tree and multi-objective optimization models, focusing on maximizing farmers' gross margin and water savings from lenient, moderate, and strict perspectives on ecological protection. New hydrological insights for the region: The CART model, with an R2 of over 0.92, accurately predicted the Karkheh dam outflows and identified seven different release scenarios based on reservoir volumes and inflows. Water and land optimal allocation of the Karkheh sub-basin indicated that under unfavorable release conditions, farmers would face increased economic pressure, complicating water-saving policy implementation. Under strict ecological protection perspective, the difference between economic and ecological benefits for outflow scenarios S1 (approximately 754 million m3) and S7 (approximately 3906 million m3) was significant, at about 53 % and 10 %, respectively. Therefore, implementing stringent water-saving policies in the Karkheh sub-basin level is feasible under favorable dam water resource conditions. The study concluded that Karkheh Dam release levels have a greater impact on land use than stakeholders' ecological protection perspectives. Based on the results obtained, it is recommended that achieving sustainability in the agricultural sector of dam sub-basins is possible through dynamic and flexible reservoir dam management, considering t

关键词： Dam release schedules CART decision tree model Water saving Optimal allocation multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

Carrying capacity and efficiency optimization model for freight train segment train

引用

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第2期22卷 S4927-S4940页

作者： Wang, Pei Zhang, Xiaodong Han, Boling Lang, Maoxiang Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100044 Peoples R China China Railway Corp Transportat Bur Beijing 100844 Peoples R China

With economic expansion having moderated to a "new normal" pace, supply structure of goods and competition state of logistics market has undergone major changes. In order to respond to these changes actively, China Railway Corporation has launched railway express freight block trains to meet with customers' demands. However, traditional operation conditions require every freight block train fully loaded to make best of transportation capacity. This has caused a series of problems to freight block trains, such as uncertain departure time, unstable running frequency and so on, which cannot meet with the customers' basic requirements for goods transport and logistics. So it is an urgent task to study the suitable cars' number and running frequency of railway express freight block trains so as to reduce customers' costs and increase China Railway Corporation's profits. Therefore, this paper analyzes the calculation method of customers' generalized transportation cost and profits of running a railway express freight block train. Then, an optimization model for cars' number and running frequency of freight block trains is proposed. The objective functions of this model are the minimum general transportation costs of customers and the maximum profits of China Railway Corporation. The model constraints are about transportation capacity, railway freight stations' operating capacity and so on. Taking railway express freight block trains operated between Beijing and Shanghai as an example, the cars' number and running frequency are calculated which can effectively reduce customers' cost and increase China Railway Corporation's profits. The results can prove the feasibility of the model proposed in this paper.

关键词： Railway express freight block train Cars' number in a train Running frequency multi-objective optimization model Generalized transportation cost model

来源：评论

学校读者我要写书评

暂无评论

An optimization model for water quantity and quality integrated management of an urban lake in a water deficient city

引用

URBAN WATER JOURNAL 2017年第9期14卷 922-929页

作者： Zheng, Jian-Feng Jiao, Ji-Dong Zhang, Shuo Sun, Li-Ping Tianjin Chengjian Univ Sch Environm & Municipal Engn Tianjin Key Lab Aquat Sci & Technol Tianjin Peoples R China

This paper presents an optimization model for water quantity and quality integrated management of an urban lake in a water deficient city. A representative water quantity and quality safeguard system served urban lake, including multi-source water supply facilities, recirculating water purification facilities and surplus water discharge facilities, is widely used in Chinese water deficient cities. Because it is complicated, any mismanagement will result in water quality deterioration, water waste and high operation cost. The presented model attempts to achieve the objectives of controlling water pollution, reducing economic cost and improving water utilization efficiency through an optimized operating water safeguard system. The model is applied to Qingjing Lake in Tianjin, China. Results show that the model plays a more positive role for water quantity and quality integrated management.

关键词： Urban lake water deficient city water quantity and quality safeguard system multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

multi - objective optimization of the global tungsten trade network for supply risk reduction and economic benefit improvement

引用

INTERNATIONAL REVIEW OF ECONOMICS & FINANCE 2025年 98卷

作者： Jia, Nanfei Pi, Zhengrong Zuo, Min Shi, Yuhang Xu, Xin Beijing Technol & Business Univ Sch Comp & Artificial Intelligence Beijing 102488 Peoples R China Beijing Technol & Business Univ Natl Engn Res Ctr Agriprod Qual Traceabil Beijing 102488 Peoples R China Beijing Wuzi Univ Beijing 101149 Peoples R China Nanjing Univ Finance & Econ Sch Finance Nanjing Peoples R China

As key minerals, tungsten resources are crucial for various industries. But uneven reserves and unstable international conditions increase the risk of supply disruption, impacting the stability and economic benefits of international trade. Therefore, this paper applies the multi-objective optimization model and NSGA-II algorithm to optimize the global tungsten trade network (GTTN) in 2022 by adjusting its supply relationship structure and trade volume.1 The results show that all optimized GTTNs improve stability and total value flow compared to the actual ones. Adding trade relationships, KOR-*CHN and ARE-*RUS, is beneficial to enhance total value flow of the GTTN. Adding trade relationships, PRT-*VNM and THA-*VNM, helps improve stability of the GTTN. The increase in value flow of added trade relationships follows power-law distribution. The research provides different options for trading countries to optimize supply relationships to improve stability and economic benefits of global tungsten trade.

关键词： Tungsten Trade stability Total trade value flow multi-objective optimization model Supply relationship structure NSGA-II algorithm

来源：评论

学校读者我要写书评

暂无评论

optimization model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm

引用

INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 2014年第6期7卷 175-190页

作者： Liu, Feng Wu, Haitao Lu, Xiaochun Liu, Xiyang Chinese Acad Sci Natl Time Serv Ctr 3 East Shuyuan Rd Xian 710600 Shaanxi Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Key Lab Precis Nav & Timing Technol Xian 710600 Shaanxi Peoples R China Xidian Univ Xian 710071 Peoples R China

Massive data storage is one of the great challenges for cloud computing service, and reliable storage of sensitive data directly affects quality of storage service. In this paper, based on analysis of data storage process in cloud environment, the cost of massive data storage is considered to be comprised of data storage price, data migration and communication;and the storage reliability consists of data transmission reliability and hardware dependability. A multi-objective optimization model for reliable massive storage is proposed, in which storage cost and reliability are the objectives. Then, a genetic algorithm for solving the model is designed. Finally, experimental results indicate that the proposed model is positive and effective.

关键词： Cloud storage multi-objective optimization model genetic algorithm reliable storage

来源：评论

学校读者我要写书评

暂无评论

Adjusting the intermediate input sources for global carbon emission reduction: An input-output optimization model

引用

SCIENCE OF THE TOTAL ENVIRONMENT 2022年 835卷 155582页

作者： Jiang, Meihui Hao, Xiaoqing Nanjing Univ Informat Sci & Technol Sch Management Sci & Engn Nanjing 210044 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Econ & Management Nanjing 211106 Peoples R China Nanjing Univ Informat Science&Technol Sch Management Sci & Engn Nanjing Peoples R China

countries, while the global industrial structure adjustment would possibly lead to the unbalance of regional economy development. Based on the previous studies, this paper built an intermediate input source optimization model to reduce the global carbon emissions by adjusting the international input sources of countries (regions). The results showed that the proposed model could effectively realize the goals of global carbon emission reduction and economic development. After optimization, the requirements for the inputs from some sectors would significantly decrease, such as the materials in China, while the requirements for the inputs from some sectors would significantly increase, such as energy in the EU countries. The results also showed that the important sectors in the domestic industrial structures were more sensitive to the global intermediate input source adjustment. Furthermore, the global input source changes would indirectly improve the industrial structures of some countries including China, India and Russia. Our work suggested that countries should further promote the technology advantages of some important sectors to avoid the probable industrial risks bought by the global actions toward carbon neutrality.

关键词： multi-regional input-output analysis Intermediate goods Input sources Global carbon reduction multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

A game theoretical low impact development optimization model for urban storm water management

引用

JOURNAL OF CLEANER PRODUCTION 2019年 241卷 118323-000页

作者： Latifi, Morvarid Rakhshandehroo, Gholamreza Nikoo, Mohammad Reza Sadegh, Mojtaba Shiraz Univ Dept Civil & Environm Engn Shiraz Iran Boise State Univ Dept Civil Engn Boise ID 83725 USA

This study presents a novel framework to optimize Low Impact Development (LID) practices for urban storm water management. First, the Storm Water Management model (SWMM) model was executed for different possible scenarios of input parameters and various LIDs to simulate runoff volume, Biochemical Oxygen Demand (BOD) and Total Suspended Solids (TSS) loads. Next, a neural network (MLP-ANN) was trained and validated, as a surrogate model, against the set of inputs and output variables from the SWMM model simulations. The inherent uncertainties in the rainfall-runoff modeling were accounted for using a Nonlinear Interval Number Programming (NINP) model, and stakeholders' interactions are considered using a leader-follower game model. Velenjak urban watershed in Tehran, Iran, with four key stakeholders was considered as the study area. Tehran Municipality is the financial service provider that makes the first decision the leader-follower structure, and is considered as the leader with the priority of minimizing LIDs' construction and maintenance costs. Tehran Department of Environmental Protection, Tehran Regional Water company, and Tehran Province Water and Wastewater company are the main followers in the decision making structure in the study area. This game theoretical framework yields several Pareto optimal solutions given the conflicting utilities of various players, and a multi Criteria Decision Making procedure - i.e. PROMETHEE model - selects the most preferred compromised option. Fourteen weighting scenarios were considered in the PROMETHEE model to determine the compromise solution among the 52 solutions on the trade-off curve. The novelty of this study lies in using a nonlinear interval conflict resolution multi-objective optimization model for urban storm water management based on a leader-follower game. The proposed methodology warrants BOD and TSS loads, as well as storm water volume, are all reduced, with the highest reductions of 93, 86 and 90 percent, re

关键词： Urban storm water management Leader-follower game Nonlinear interval number programming Low impact development multi-objective optimization model

来源：评论

学校读者我要写书评

暂无评论

COST AND SERVICE-LEVEL-BASED model FOR A SERU PRODUCTION SYSTEM FORMATION PROBLEM WITH UNCERTAIN DEMAND

引用

系统科学与系统工程学报（英文版） 2018年第4期27卷 519-537页

作者： Ye Wang Jiafu Tang School of Management Science and Engineering Dongbei University of Finance and Economics(DUFE)Dalian 116025 China

With increasing demand diversification and short product lifecycles,industries now encounter challenges of demand *** Japanese seru production system has received increased attention owing to its high efficiency and *** this paper,the problem of seru production system formation under uncertain demand is researched.A multi-objective optimization model for a seru production system formation problem is developed to minimize the cost and maximize the service level of the *** purpose of this paper is to formulate a robust production system that can respond efficiently to the stochastic *** average approximation (SAA) is used to approximate the expected objective of the stochastic *** non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is improved to solve the multi-objective optimization *** experiments are conducted to test the tradeoffbetween cost and service level,and how the performance of the seru production system varies with the number of product types,mean and deviation of product volume,and skill-level-based cost.

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

Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment

引用

APPLIED SOFT COMPUTING 2017年 59卷 288-302页

作者： Deng, Wu Zhao, Huimin Yang, Xinhua Xiong, Juxia Sun, Meng Li, Bo Dalian Jiaotong Univ Software Inst Dalian 116028 Peoples R China Guangxi Univ Nationalities Guangxi Key Lab Hybrid Computat & IC Design Anal Nanning 530006 Peoples R China Sichuan Univ Sci & Engn Sichuan Prov Key Lab Proc Equipment & Control Zigong 64300 Peoples R China Dalian Jiatong Univ Dalian Key Lab Welded Struct & Its Intelligent Mf Rail Transportat Equipment Dalian 116028 Peoples R China Nanjing Univ Informat Sci & Technol Nanjing 210044 Jiangsu Peoples R China

Gate is a key resource in the airport, which can realize rapid and safe docking, ensure the effective connection between flights and improve the capacity and service efficiency of airport. The minimum walking distances of passengers, the minimum idle time variance of each gate, the minimum number of flights at parking apron and the most reasonable utilization of large gates are selected as the optimization objectives, then an efficient multi-objective optimization model of gate assignment problem is proposed in this paper. Then an improved adaptive particle swarm optimization(DOADAPO) algorithm based on making full use of the advantages of Alpha-stable distribution and dynamic fractional calculus is deeply studied. The dynamic fractional calculus with memory characteristic is used to reflect the trajectory information of particle updating in order to improve the convergence speed. The Alpha-stable distribution theory is used to replace the uniform distribution in order to escape from the local minima in a certain probability and improve the global search ability. Next, the DOADAPO algorithm is used to solve the constructed multi-objective optimization model of gate assignment in order to fast and effectively assign the gates to different flights in different time. Finally, the actual flight data in one domestic airport is used to verify the effectiveness of the proposed method. The experiment results show that the DOADAPO algorithm can improve the convergence speed and enhance the local search ability and global search ability, and the multi-objective optimization model of gate assignment can improve the comprehensive service of gate assignment. It can effectively provide a valuable reference for assigning the gates in hub airport. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Gate assignment Adaptive particle swarm optimization multi-objective optimization model Dynamic fractional calculus Alpha-stable distribution theory

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：