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Single- and multi-objective defensive location problems on a network

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2008年第1期188卷 76-84页

作者： Uno, Takeshi Katagiri, Hideki Hiroshima Univ Grad Sch Engn Higashihiroshima 7398527 Japan

This paper considers a new optimal location problem, called defensive location problem (DLP). In the DLPs, a decision maker locates defensive facilities in order to prevent her/his enemies from reaching an important site, called a core;for example, "a government of a country locates self-defense bases in order to prevent her/his aggressors from reaching the capital of the country." It is assumed that the region where the decision maker locates her/his defensive facilities is represented as a network and the core is a vertex in the network, and that the facility locater and her/his enemy are an upper and a lower level of decision maker, respectively. Then the DLPs are formulated as bilevel 0-1 programming problems to find Stackelberg solutions. In order to solve the DLPs efficiently, a solving algorithm for the DLPs based upon tabu search methods is proposed. The efficiency of the proposed solving methods is shown by applying to examples of the DLPs. Moreover, the DLPs are extended to multi-objective DLPs that the decision maker needs to defend several cores simultaneously. Such DLPs are formulated as multi-objective programming problems. In order to find a satisfying solution of the decision maker for the multi-objective DLP, an interactive fuzzy satisfying method is proposed, and the results of applying the method to examples of the multi-objective DLPs are shown. (C) 2007 Elsevier B.V. All rights reserved.

关键词： facility location bilevel programming Stackelberg solution Tabu search multi-objective programming interactive fuzzy satisfying method

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Pareto optimal solutions of a cost-time trade-off bulk transportation problem

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2008年第1期188卷 85-100页

作者： Prakash, Satya Kumar, Pranav Prasad, B. V. N. S. Gupta, Anuj Amity Sch Engn & Technol Dept Math New Delhi India Birla Inst Technol & Sci Dept Math Pilani Rajasthan India Birla Inst Technol & Sci Dept Comp Sci Pilani Rajasthan India Univ Cambridge Dept Chem Engn Cambridge CB2 3RA England

A cost-time trade-off bulk transportation problem with the objectives to minimize the total cost and duration of bulk transportation without according priorities to them is considered. The entire requirement of each destination is to be met from one source only;however a source can supply to any number of destinations subject to the availability of the commodity at it. Two new algorithms are provided to obtain the set of Pareto optimal solutions of this problem. This work extends and generalizes the work related to single-objective and prioritized two-objective bulk transportation problems done in the past while providing flexibility in decision making. (C) 2007 Elsevier B.V. All rights reserved.

关键词： optimization multi-objective programming Pareto optimal transportation bulk transportation

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Packet loss and delay combined optimization for satellite channel bandwidth allocation controls

Packet loss and delay combined optimization for satellite ch...

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IEEE International Conference on Communications (ICC 2008)

作者： Bisio, Igor Marchese, Mario Univ Genoa Dept Commun Comp & Syst Sci DIST I-16145 Genoa Italy

ISBN: (纸本)9781424420742

The paper studies the bandwidth allocation processer satellite communication systems as a multi-objective programming (MOP) problem and evaluates an allocation method called "Combined Utopia Minimum Distance" combined UMD). The entities of the system are earth stations d, for each of them, a set of performance metrics (represented specific analytical functions), which compete to access the tellite channel. Combined UMD is aimed at approaching the performance obtained for each performance metric when there is, conflict among them to access the channel. In short, it assigns e bandwidth so to approach a non-competitive situation where ch metric "sees" the overall channel bandwidth availability those as possible. In more detail, in this work two kinds of performance metric have been considered: the Packet Loss probability, which is a typical QoS metric for the TCP based affic and the Average Delay, which is typical for UDP based traffic. The allocation method is tested through the ns2 simulator, using TCP and UDP traffic generators and by varying the ding level of the satellite channel over time. Combined UMD been compared with other approaches taken from the erature in the field.

关键词： satellite systems QoS metrics multi-objective programming bandwidth allocation performance evaluation

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Analysis on large consumer price models in electricity market

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3rd International Conference on Electric Utility Deregulation, Restructuring and Power Technologies

作者： Lei, Xia Liu, Junyong Du, Liang Zhang, Li Xihua Univ Sch Elect Informat Chengdu 610039 Peoples R China

ISBN: (纸本)9787564112493

A price determination mode for large consumers is proposed under the present environments with large consumers purchasing electric power from the electricity supply utility in some area in Yunnan. With abundant waterpower in Yunnan, most of consumed electric power of large consumers is signed in the form of contracts. The contract price is determined by optimizing resources and maximizing profits of the supply utility. The different price is in accordance with different demand-price elasticity of large consumers. The difference between planned and actual consumption power is balanced in two spot markets. Because of the randomicity of spot price and trading power, the sale price of the supply utility in spot market is calculated based on stochastic programming. At last, simulation verifies the rationality of the models, which solves a part of problems faced by the supply utility in selling electricity to large consumers.

关键词： demand-price elasticity electricity market electricity supply utility large consumers multi-objective programming season-of-use price spot price stochastic programming

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multi-objective Power System Planning by Artificial Life Simulation

Multi-objective Power System Planning by Artificial Life Sim...

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2nd International Power and Energy Conference (PECon 2008)

作者： Yamashita, Hiroaki Kumano, Teruhisa Meiji Univ Dept Elect & Elect Engn Kawasaki Kanagawa Japan

ISBN: (纸本)9781424424047

We propose a way to find an appropriate balance between economy and reliability in power system operation using A-life (artificial life) simulation. A-lives move in a two dimensional space that represents operating condition of the model system. They move by a principle selected between two strategies, one of which is seeking economy, while the other is seeking reliability. Two strategies are selected by not only probability but also by the condition of A-lives' stamina and income by electric power selling. It was observed that the most of the lives prefer reliability to economy. Quite a lot of lives were likely to move based on economy in the beginning stage but gradually decreased when the total population of the A-lives become large. The A-life simulation presented in this paper shows that they succeeded in balancing economy and reliability. More precisely, A-lives prefer economy in the initial stage where they try to propagate by taking in profit. After they reach stable situation they aim for reliability.

关键词： multi-objective programming Power System Operation Artificial Life

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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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4th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Zhang, Weihua Qiu, Wanhua Lao, Guoling Beihang Univ Sch Econ & Management Beijing Peoples R China Shanghai Univ Finance & Econom Shanghai Peoples R China

ISBN: (纸本)9781424421077

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 Kith 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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Some Improvements on Model Free Controller

Some Improvements on Model Free Controller

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7th World Congress on Intelligent Control and Automation

作者： Li, Junling Zhang, Shugong Jilin Univ Inst Math Changchun 130012 Peoples R China Jilin Univ Key Lab Symbol Comp & Knowledge Engn Minist Educ Changchun 130012 Peoples R China

ISBN: (纸本)9781424421138

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 Visual Modeling and Simulation System for Optimal Production Planning

Research on Visual Modeling and Simulation System for Optima...

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20th Chinese Control and Decision Conference

作者： Zhou Ya-wei Pang Ha-li Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Peoples R China

ISBN: (纸本)9781424417339

According to the various and complicating of production planning problem, a visual modeling and simulation system for optimal production planning was proposed in this paper. Considering the opening, universality and integrated optimization idea of system, objective oriented technology and operation research method were used to develop the system. Supporting by the system, planners can configure the production process, edit parameters of the production equipments according to actual condition, and generate multi-objective optimal programming model for production planning corresponding to orders, solve the model and evaluate the results.

关键词： Visual Modeling Production Planning 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

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

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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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