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作者： Jiachen Yao Liang Ning Chen Jing Cui Cao Enzhe Zhou Lun Zhang Lei Wang Chengde Power Supply Company State Grid Jibei Electric Power Co. Ltd. Tangshan Power Supply Company State Grid Jibei Electric Power Co. Ltd. Department of Automation North China Electric Power University

Distributed power access has a significant impact on economy and security of incremental distribution network. In this paper, economy and security are taken as the optimization goal, the constraints such as power balance and voltage deviation are constructed, and the multi-objective programming model of distributed power supply access capacity is established considering the different output scenarios of distributed power supply, and the Pareto optimal solution set is obtained by using non-dominant sequencing genetic algorithm. The validity of the proposed method is verified based on the analysis of the IEEE33 node model.

关键词： incremental power distribution network distributed power supply multi-objective programming non-dominant sequencing genetic algorithm

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An interactive dynamic multi-objective programming model to support better land use planning

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LAND USE POLICY 2014年 36卷 13-22页

作者： Chang, Yang-Chi Ko, Tsung-Ting Natl Sun Yat Sen Univ Dept Marine Environm & Engn Kaohsiung 80424 Taiwan Helmholtz Zentrum Geesthacht Inst Coastal Res D-21502 Geesthacht Germany

This study develops a dynamic multi-objective programming (DMOP) approach to handle problems of optimization under conditions of uncertainty typified by multiple goals and dynamic subsystems. The proposed approach seamlessly integrates multi-objective programming, fuzzy set theory, and system dynamics tools to conduct optimal land use planning in dynamic and complex environmental systems. Based on the DMOP approach, this study constructs an interactive dynamic multi-objective programming model, investigates the connection between land use and future urban development, and incorporates the preferences of decision makers using a compromise index. A case study from Taiwan shows that the proposed modeling framework can accommodate more complete information, allowing improvements to be made in strategic planning for land use. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Land use planning multi-objective programming Fuzzy set theory System dynamics

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E-MRO Service Policy with Bilateral Requirements using Variable Fuzzy Recognition and multi-objective programming

E-MRO Service Policy with Bilateral Requirements using Varia...

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IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Li, Ling Liu, Min Shen, Weiming Cheng, Guoqing Tongji Univ Sch Elect & Informat Engn Shanghai Peoples R China Jingdezhen Ceram Inst Sch Informat Engn Jingdezhen Peoples R China

ISBN: (纸本)9781509018970

Motivated by the challenges of seeking the optimal E-business based maintenance, repair and overhaul (E-MRO) service policy, simultaneously considering bilateral requirements of quality of service (QoS), this paper presents a mathematical model based on variable fuzzy recognition and multi-objective programming. Cloud model is utilized to quantify the information of bilateral requirements as the numerical values. Then, the comprehensive satisfaction of multiple attribute is calculated by using variable fuzzy recognition method. Based on bilateral satisfactions, a multi-objective programming model is formulated, where bilateral QoS satisfactions are modeled as objective functions. By using global criteria method, the multi-objective optimization is transformed to an equivalent single objective optimization, which can be solved by LINGO. Finally, the optimal E-MRO service policy satisfying bilateral requirements is obtained. A case study illustrated the feasibility and efficiency of the proposed model.

关键词： E-MRO service policy bilateral requirements variable fuzzy recognition multi-objective programming

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Research Based On multi-objective programming on Allocation of Water Resources in Panjin Shuangtai Estuary Wetland

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1st International Conference on Energy and Environmental Protection (ICEEP 2012)

作者： Wang, Tieliang Yuan, Xin Lu, Xiaofeng Su, Fangli Zhang, Xiaolei Shenyang Agr Univ Coll Water Conservancy Shenyang 110161 Peoples R China

ISBN: (纸本)9783037854167

In order to restore ecological function of wetland, determine the exploitation plan of water resources reasonably and promote the sustainable development of ecological function in wetland, based on the exploitation and utilization situation as well as the planning objectives of Panjin Shuangtai estuary wetland, this essay focuses on discussing water demand of natural ecological system, water quality of agricultural irrigation and aquaculture, and residential water consumption in wetland. Using various areas of wetland as decision variables and aiming to restore the size of all areas back to that in 2000, this essay takes the view of system engineering as guidance, establishes multi-objective programming model for rational allocation of wetland resources, and makes it able to compare with the other three created configurations plans. Results show that only giving priority to the needs of ecological water consumption of wetland to achieve an efficient use of surrounding water resources can we make the recovery of this wetland better and faster, and therefore achieve a desired sustainable development of ecological function. This has an important significance in leading us to a sustainable development of ecological restoration and constructing a framework of coordinated use of water resources of wetland system.

关键词： estuary wetland water resources rational distribution multi-objective programming ecological restoration

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A multi-objective programming Model for Subway Last Train Timetabling 3rd

A Multi-objective Programming Model for Subway Last Train Ti...

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3rd International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT)

作者： Xiang, Wanxiao Wang, Yanhui Beijing Jiaotong Univ Sch Traff & Transportat State Key Lab Rail Traff Control & Safety 3 Shang Yuan Cun Beijing Peoples R China

ISBN: (纸本)9789811079894;9789811079887

Subway last train timetabling focuses more on train coordination to make passengers transfer smoothly. Aiming to find an optimal balanced timetabling, a multi-objectives programming model is proposed with speed profile control for finding the optimal train velocity on sections and train dwell time at stations. Our work makes two contributions. First, this paper analyzes train movements in a line and provides an energy flow transferring method. Second, based on the analysis of train velocity and energy flow, an optimization model, in which passenger satisfaction, train trip time and network energy consumption are model objectives, is brought into the last train timetabling. Finally, to obtain an approximately optimal scheduling strategy, an artificial intelligence algorithm is proposed in particular to effectively solve the proposed model. The results of numerical experiments demonstrate the efficiency and effectiveness of the proposed method.

关键词： Subway Last train timetabling multi-objective programming Train coordination

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Dynamic virtual machines placement in a cloud environment by multi-objective programming approaches

Dynamic virtual machines placement in a cloud environment by...

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ICIIBMS 2015 Int C Intelligent Inform BioMedical

作者： Kao, Han-Ying Yang, Yu-Min Huang, Chia-Hui Natl Dong Hwa Univ Dept Comp Sci & Informat Engn Hualien Taiwan Natl Taipei Univ Business Dept Business Adm Taipei Taiwan

ISBN: (纸本)9781479985623

Recently, cloud services and cloud computing have revolutionized both academic research and industrial practices. A corresponding focus on how to improve the performance of cloud computing is growing apace. It is a significant approach to allocate virtual machines (VMs) on a set of physical machines. Computing resources can be utilized effectively with the optimal distribution of the virtual machines among the physical machines. This study aims to establish the dynamic placement model of VMs by multi-objective programming for (1) minimizing energy consumption, (2) maximizing effectiveness of physical machine, and (3) minimizing the task waiting time. Experiments are implemented to verify the effectiveness of the proposed methods.

关键词： cloud computing multi-objective programming dynamic genetic algorithm virtual machine placement

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Synergistic CO₂ and Air Pollution Reduction Based on multi-objective programming

Synergistic CO<sub>2</sub> and Air Pollution Reduction Based...

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2nd International Conference on Energy, Environment and Sustainable Development (EESD 2012)

作者： Chang, Wentao Wen, Juan Bao, Jingling Li, Ran Tianjin Acad Environm Planning Tianjin Peoples R China Hebei Univ Technol Tianjin Peoples R China Nankai Univ Tianjin Peoples R China Tianjin Environm Protect Bur Tianjin Peoples R China

ISBN: (纸本)9783037855522

With increasing frequency of hazards caused by global climate change, the importance of regulating carbon dioxide emission and coping with climate change has been recognized by the entire society. This paper utilized an Energy Flow Diagram to incorporate the energy supplies, conversion and final consumption for analyses. A multi-objective programming model was established to reduce the economic investment on the reduction of air pollution and carbon emission, and applied in a case study of Tianjin, one of the economic hubs of North China. This study can be potentially useful for making decisions on the synergistic CO2 and air pollution reduction and solving conflicts between economic development and environmental protection in China.

关键词： multi-objective programming Air Pollutants CO2 Synergistic Carbon Emission Reduction

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Minimizing adverse environmental effects of agriculture: A multi-objective programming approach

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Operational Research 2009年第3期9卷 267-280页

作者： Ragkos, Athanasios Psychoudakis, Asimakis Department of Agricultural Economics Faculty of Agriculture Aristotle University of Thessaloniki 54 004 Thessaloniki P.O. Box 232 Greece

The mitigation of adverse effects of agriculture on ecosystems, due to the use of agrochemicals and irrigation water, is expected to have implications on farm incomes. This study examines the possibilities of simultaneously achieving environmental goals such as the reduction of agrochemical and irrigation water use as well as acceptable farm incomes. The empirical analysis employs the multi-objective programming method in order to define alternative crop plans for River Strymonas region in Greece. The results reveal considerable possibilities for reducing input use as well as severe impact on incomes in terms of gross margin, which indicate a wide range of policy options. It is argued that the choice of the ideal solution should be based on several criteria including non-market values of environmental benefits, the particular objectives of policy makers and human preferences, especially the acceptance of each crop plan by stakeholders. © Springer-Verlag 2009.

关键词： Agrochemical use Irrigation multi-objective programming Water resources

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The optimization analysis of urban disaster hedge places based on multi-objective programming

The optimization analysis of urban disaster hedge places bas...

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24th Chinese Control and Decision Conference (CCDC)

作者： Zhao Ping Guo Bin Wang Peng-zhi Xian Univ Architecture & Technol Civil Engn Coll Xian 710055 Peoples R China

ISBN: (纸本)9781457720727

For establishing the city post-disaster emergency rescue shelter mechanism, the multi-objective programming is namely adopted for stationing and the emergency rescue shelter venues are prepared to arrange for fleeing victims. The present status and the progress of the traditional risk study are summarized, and then the multi-objective programming of distribution is used to in order to analysis the urban shelter optimally. The multi-objective approach is introduced to study the problems of the escape of evacuation stadium disaster, and then a multi-objective programming model is changed into an integer programming model to complete the stationing issues of post-disaster hedge places. The post-disaster hedge places entity optimization model is established by legitimately using multi-objective programming method, and the four targets, minimization shelter points for escaping, the minimization cost of investment, the maximization numbers of escape refugees and the fastest rate of escaping (the shortest time for arriving at escaping asylum points), are selected out to makes the distribution achieve the desired goals. And then an example is investigated to verify the feasibility of this method.

关键词： distribution multi-objective programming risk normalization

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Semi-structured Fuzzy Decision-making Approach to multi-objective programming Problems

Semi-structured Fuzzy Decision-making Approach to Multi-obje...

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IEEE International Conference on Intelligent Computing and Intelligent Systems

作者： Yu, Xuefeng Zhang, Xiaowei Mu, Lili Heilongjiang Univ Sch Hydraul & Elect Engn Harbin 150086 Peoples R China

ISBN: (纸本)9781424447541

This paper applies the semi-structured decision-making model (SDM) to the multi-objective linear programming Firstly, the general form of the multi-objective programming is introduced Then the SDM is proposed After that, the weight of decision-making objective is determined, and also the objective function is established combining with the SDM Finally, the algorithm is discussed with an example

关键词： fuzzy decision-making multi-objective programming economic benefits social benefits environmental benefits

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