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检索条件"主题词=Multi-objective programming"

共 651 条记录，以下是621-630 订阅

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Modelling of efficient distributed generation porfolios using a multiobjective optimization approach

Modelling of efficient distributed generation porfolios usin...

引用

IEEE Manchester PowerTech

作者： von Haebler, Jonas Erlemeyer, Fabian Rehtanz, Christian Blanco, Gerardo TU Dortmund Univ Dortmund Germany Natl Univ Asuncion San Lorenzo Paraguay

ISBN: (纸本)9781509042371

In course of the German power system transition to a higher share of renewable energy sources decentralized activities constitute a major driving force for the growth of renewable energy capacity. In this context plural activities and initiatives on the local and regional level are followed to develop concepts for an efficient and sustainable regional energy supply. To achieve these goals various objectives has to be simultaneously accomplished. Generally, these objectives contradict to each other and cannot be handled by a single optimization technique. This paper proposes a multiobjective (MO) optimization approach for identifying efficient DG generation portfolios regarding multiple objectives. The methodology presented allows the planner to decide the best trade-off between the self-supply degree, environmental impact and electricity generation cost. The proposal applies, in a study case, a MO genetic algorithm that allows identifying a set of non-inferior Pareto-optimal solutions.

关键词： Distributed generation portfolio analysis multi-objective programming genetic algorithms

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Capacity Bound of MOP-based Allocation with Packet Loss and Power Metrics in Satellite Communications Systems

Capacity Bound of MOP-based Allocation with Packet Loss and ...

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IEEE Global Communications Conference

作者： Igor Bisio Stefano Delucchi Fabio Lavagetto Mario Marchese DITEN Department University of Genoa

ISBN: (纸本)9781467309202

The task of a capacity allocation policy is to determine the optimal quantity of capacity that has to be shared among the transmitting entities. In this work the allocation problem is modelled by the multi objective programming (MOP) theory. In particular, an allocation criterion based on the L_p-problem is proposed to find out a capacity allocation, among Earth Stations, representative of a compromise if Packet Loss Probability and Transmitted Power are taken into account as performance metrics. The paper also discusses the existence of a capacity allocation, called Capacity Bound, on which the performance converges independently of the overall capacity available C_(TOT)- A performance analysis, carried out through simulations and under different satellite channel conditions, is finally proposed to investigate the allocation criterion performance and to show the Capacity Bound existence.

关键词： Satellite Communications multi-objective programming L_p-problem based Allocation Capacity Bound Performance Analysis Satellite communication Packet loss Satellite communication systems Pareto optimisation allocation Transmitter power Bound

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multi-Criteria Decision Support Systems: A Glorious History and a Promising Future

Multi-Criteria Decision Support Systems: A Glorious History ...

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International Conference on Modeling, Simulation and Applied Optimization

作者： Aouni Belaid Jamil Razmak Decision Aid Research Group School of Commerce and Administration Faculty of Management Laurentian University

ISBN: (纸本)9781467358125

The Decision Support Systems (DSS) were widely applied to the field of multi-Criteria Decision Aid (MCDA). In fact, the most popular MCDA aggregating procedures are those supported by a DSS. Our literature review reveals that the multi-Criteria Decision Support Systems (MCDSS) have applied in several fields such as: Production and Operation Management, Finance, Education, Human Resources, Real Estate and multi Media. The aim of this paper is to provide a state-of-the Art and a classification by field of MCDSS applications.

关键词： Decision Support System multi-Criteria Decision Aid multi-objective programming Typology

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Remodelling of the Inverse DEA Model: A Prediction Tool for Not-for-profit Organizations

Remodelling of the Inverse DEA Model: A Prediction Tool for ...

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第一届最优化与系统生物学国际研讨会

作者： Jin-Chuan Cui Xiang-Sun Zhang Xiao-Ya Li Institute of Applied Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences

A resource allocation model (RAM) for not-for-profit organization in the framework of Data Envelopment Analysis (DEA) was introduced by Zhang and Cui ([1]). The model is an inverse formulation to the DEA model , as pointed in paper [2], and can be transformed into a parametric linear programming problem. Also a multi-objective programming problem was introduced in [2] to solve RAM when the efficiency index of the discussed organization is strictly less than one. In this paper, inadequacy of the original RAM model is discussed and then a revised new model is presented. The new model can be transformed into a multi-objective programming problem or a linear programming problem for any efficiency index value an organization has.

关键词： Resource allocation model data Envelopment Analysis prediction model not-for-profit organizations multi-objective programming

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multi-objective Modeling and Planning for the Selection of Chemical Reaction Routines

Multi-objective Modeling and Planning for the Selection of C...

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2011 2nd International Conference on Advances in Energy Engineering(ICAEE)

作者： Xiao-Ping Jia Shu-Wen Wan Yu Qian School of Environment and Safety Engineering Qingdao University Science & Technology Institute for Petroleum and Chemical Industry Qingdao University Science & Technology School of Chemical Engineering South China University of Technology

It is of great significance to generate a promising routine by the consideration of economic,environmental,safety,and energy consumption aspects simultaneously in the early stages of chemical process *** order to achieve this goal,a method based on multi-objective programming is *** detailed models are *** integer linear programming(MILP) approach is used to solve this multi-objective *** method is demonstrated in the case study of polyvinylchloride(PVC) process *** of reaction routes are selected by using multi-objective *** results showed that ethane-propane steam cracking-balanced oxychlorination of ethylene-vinyl chloride suspension polymerization process is a promising *** not only results in chemical process that is safer and environmental conscious but also leads to reduced energy consumption and costs.

关键词： Chemical Reaction Routine multi-objective programming Model PVC Process Chemical Industry

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Regional Higher Education Resource Allocation Pareto Equilibrium Analysis

Regional Higher Education Resource Allocation Pareto Equilib...

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2010 2nd International Conference on Intellectual Technology in Industrial Practice (ITIP2010)

作者： Qu Wen-jian School of Information Engineering Nanchang University School of Information Management Jiangxi University of Finance and Economics Nanchang, ChinaXu Feng School of Information Management Jiangxi University of Finance and Economics Nanchang, ChinaTan Guang-xing School of Information Management Jiangxi University of Finance and Economics Nanchang, ChinaLiu Zheng-hui School of Information Management Jiangxi University of Finance and Economics Nanchang, China

Due to the economic spillover effect in Higher Education, thus higher education can not be fully market-oriented. There is market failure in the economy of higher education from the perspective of whether demand or supply, it is impossible to achieve the situation of Pareto optimal allocation for the higher education resources rely solely on fund allocation. In view of this, this paper present a multi- objective programming model for balanced allocation of resources in china regional higher education, and we used the Pareto genetic algorithm to get the solution of the model. The method does not need artificial weighting factors, it is a natural evolutionary calculation method. We explored the Pareto Equilibrium configuration for regional higher education resources. We analyzed the sensitivity of the model by using the cost-benefit approach. The results show that this paper's approach is a generally applicable and easy way for the achievement of the regional higher education resources in a balanced situation.

关键词： Resource Allocation multi-objective programming Pareto Genetic Algorithm.

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Study on A Dynamic Traffic Route Choice Model with Travel Time Reliability Constrains of Intelligent Transportation Systems

Study on A Dynamic Traffic Route Choice Model with Travel Ti...

引用

2014 IEEE 5th International Conference on Software Engineering and Service Science

作者： Xiaomei Sun School of Engineering Technology Changchun Vocational Institute of Technology

For Intelligent Transportation Systems(ITS)dynamic traffic route choice is one of the most important *** applications have shown that static route choice models can not meet passengers' trave demands,because route choice is a typical multi-objective programming problem affected by many dynamic factors,such as real-time traffic state,link travel time,traffic incident,intersection delay and so *** this paper,I proposed a multi-objective dynamic route choice function with the minimum of link travel time and distance as the target,which travelers paid most attention to when they chose the *** I got travel time reliability as the model constraint to against the complexity and indetermination of traffic *** I obtained the link travel time by short-term forecasting based on measured traffic data of the ***,in order to test its reliability,I established a simulation road network for realtime traffic data,and solved the model I put forward by improved genetic ***,I obtained an exciting result.

关键词： Route choice model travel time reliability improved genetic algorithm multi-objective programming

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Some Improvements on Model Free Controller

Some Improvements on Model Free Controller

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7th World Congress on Intelligent Control and Automation (WCICA 2008), vol.20

作者： Junling Li Shugong Zhang Jilin University Changchun Jilin CN

Firstly we make a brief introduction of the algorithm and astringency of existing model free controller and then in this paper propose two methods to improve the existing controller. On the one hand, a model free controller with dead zone is presented in order to avoid frequent movement of control action and eliminate the vibration of the system in some conditions. On the other hand, the problem of model free controller with constraints is considered. This problem is reduced to a multi-objective programming (MOP) and a multilevel ordering method is used to accomplish the programming with respect to the sense of the control problem. The effectiveness of the improved controllers is verified via two numerical examples.

关键词： Model free control Constraint multi-objective programming multilevel ordering method

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Research on the Recovery of Irregular Flights under Uncertain Conditions

Research on the Recovery of Irregular Flights under Uncertai...

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作者： Xiangfei Meng Xiaoyu Lin Hualei Zhao Jing Yang Department of Service Supporting Air Force Command College

This paper mainly studies the problem of irregular flights recovery under uncertain *** on the analysis of the uncertain factors affecting the flight, taking the total delay time and the total cost of flight delay as the objective function, and considering the constraints of flight plan and passenger journey, an uncertain objective programming model is ***, taking OVS airport temporarily closed due to bad weather as an example, the results show that better quality optimization scheme can be obtained by integrating passenger recovery with narrow sense flight recovery stage and implementing integrated recovery.

关键词： Recovery of Irregular Flights Uncertainty Theory multi-objective programming

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Method Selection for Complicated Equipment R&D with Consideration of Technique, Cost and Time

Method Selection for Complicated Equipment R&D with Consider...

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The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Weihua Zhang Wanhua Qiu Guoling Lao School of Economics and Management Beihang University Beijing China School of Information Management and Engineer Shanghai University of Finance and Economics Shanghai

Usually, there are different objectives and units of measurement related to technique, cost and time in R&D process, which make it more complicated to select R&D methods, let alone decision making with comprehensive consideration of the balance among them. The theory of multi-objective programming, mixed integer programming and critical path is herein used to establish a multi-objective programming model. In this model, constraints are based on the respective objectives of the factors and the balance among them while the objective function is minimizing the sum of the weighted relative deviation of each object. Besides being used to optimize decision making in the R&D process of complicated equipment, this model is a general form and can also be used in the development of other projects in other fields.

关键词： method selection R&D complicated equipment multi-objective programming critical path

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