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2008 International Seminar on Business and Information Management

作者： T.J. Xu1 P. YANG1 1Key Lab of High Efficient Mining of Metallic Ore Deposit, Ministry of Education, Beijing, China, 100083 Z.Q. Liu2 2Jinchengxin Mining Construction Group Co. LTD, Haidian Distric, Beijing, China, 100089

In a time of digitalization and informationization for Mine enterprise, based on the complication of multiobjective ore blending planning and management, a question of fuzzy multi-objective ore blending is proposed. Then according to linguistic preference information and satisfying degree of decision maker, a fuzzy multi-objective optimization algorithm is designed. The algorithm effectively solves the difficulties in multi-objective decisions, such as difficult to quantify certain objectives and restrictions and to weigh decision objectives subjectively, and different dimensions of objectives. It has also the Characteristics of flexibility and sensitivity, which is verified through a application example of certain mine, it is a practical, great universal method or means for the mine ore blending planning and management.

关键词： multi-objective programming ore blending model fuzzy optimization algorithm satisfying degree ore blending

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Analysis on Large Consumer Price Models in Electricity Market

Analysis on Large Consumer Price Models in Electricity Marke...

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3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008), vol.1

作者： Xia Lei Junyong Liu Liang Du Li Zhang School of Electrical Information Xihua University Chengdu China School of Electricity and Electronic Information Sichuan University Chengdu China

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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Integration of supplier selection, procurement lot sizing and carrier selection under dynamic demand conditions

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INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2007年第2期107卷 502-510页

作者： Liao, Zhiying Rittscher, Jens Univ Dortmund Chair Factory Org D-44221 Dortmund Germany Soptim AG D-45133 Essen Germany

This paper develops a multi-objective programming model, integrating supplier selection, procurement lot sizing and carrier selection decisions for a single purchasing item over multiple planning periods while demand quantities are known but inconstant, i.e. dynamic demand conditions. A genetic algorithm with problem specific operators is developed and a numerical example is presented. (C) 2006 Elsevier B.V. All rights reserved.

关键词： supplier selection procurement lot sizing carrier selection multi-objective programming genetic algorithm

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Mufti-objective optimal planning for designing relief delivery systems

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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 2007年第6期43卷 673-686页

作者： Tzeng, Gwo-Hshiung Cheng, Hsin-Jung Huang, Tsung Dow Kainan Univ Dept Business Adm Luchu 338 Taoyuan County Taiwan Kainan Univ Dept Informat Management Luchu 338 Taoyuan County Taiwan Natl Chiao Tung Univ Coll Management Inst Management Technol Hsinchu 300 Taiwan Natl Chiao Tung Univ Coll Management Inst Traff & Transportat Hsinchu 300 Taiwan

The fatal earthquake on September 21, 1999 caused significant damages to Taiwan, which made the national government focus on strengthening relief systems regarding natural disasters. Disaster prevention, protection, and reconstruction are the major areas of focus to reduce human suffering and damage from disasters. A key point is the ability to enhance the distribution of relief materials effectively. In this study, we construct a relief-distribution model using the mufti-objective programming method for designing relief delivery systems in a real case. The model features three objectives: minimizing the total cost, minimizing the total travel time, and maximizing the minimal satisfaction during the planning period. The first two objectives pursue the efficiency goal, whereas the third pursue fairness-making best effort to ensure relief commodity delivery to all demand points. Results of an empirical study are presented and suggestions are given for future research. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： earthquake multi-objective programming natural disaster relief distribution relief systems

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Production-inventory policy for a deteriorating item with a single vendor-buyer system

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OPTIMIZATION AND ENGINEERING 2007年第4期8卷 431-448页

作者： Mahapatra, N. K. Das, K. Maiti, M. Panskura Banamali Coll Dept Math Panskura RS 721152 W Bengal India Vidyasagar Univ Dept Appl Math Oceanol & Comp Programming Midnapore 721102 W Bengal India

In this paper, production-inventory models for a deteriorating item in a single vendor-buyer system has been developed with constant production and demand rate. Shortages at the buyer (when it is allowed) depends on time. The models have been formulated as cost minimization problem via both integrated and non-integrated approaches and solved using genetic algorithms developed to solve the single and multiobjective production inventory problems. Numerical illustrations of the models have been presented and the sensitivity analysis with respect to rates of production, demand and deterioration are performed.

关键词： inventory genetic algorithm multi-objective programming deterioration

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Minimum distance bandwidth allocation over space communications

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IEEE COMMUNICATIONS LETTERS 2007年第1期11卷 19-21页

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

The letter formalizes the bandwidth allocation process over space communication systems as a multi-objective programming (MOP) problem and proposes an allocation called "Minimum Distance" algorithm. The algorithm assigns the bandwidth so to approach the ideal situation where each station has the overall channel bandwidth available, as close as possible. The performance evaluation is carried out analytically by varying the fading level of the space channel.

关键词： space communications bandwidth allocation multi-objective programming performance evaluation

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Face recognition based on a novel linear discriminant criterion

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PATTERN ANALYSIS AND APPLICATIONS 2007年第3期10卷 165-174页

作者： Song, Fengxi Zhang, David Chen, Qinglong Wang, Jizhong Harbin Inst Technol Biocomp Res Ctr Shenzhen Grad Sch Sili 518055 Shenzhen Peoples R China New Star Res Inst Appl Tech Hefei 230031 Peoples R China Hong Kong Polytech Univ Kawloon Hong Kong Peoples R China

As an effective technique for feature extraction and pattern classification Fisher linear discriminant (FLD) has been successfully applied in many fields. However, for a task with very high-dimensional data such as face images, conventional FLD technique encounters a fundamental difficulty caused by singular within-class scatter matrix. To avoid the trouble, many improvements on the feature extraction aspect of FLD have been proposed. In contrast, studies on the pattern classification aspect of FLD are quiet few. In this paper, we will focus our attention on the possible improvement on the pattern classification aspect of FLD by presenting a novel linear discriminant criterion called maximum scatter difference (MSD). Theoretical analysis demonstrates that MSD criterion is a generalization of Fisher discriminant criterion, and is the asymptotic form of discriminant criterion: large margin linear projection. The performance of MSD classifier is tested in face recognition. Experiments performed on the ORL, Yale, FERET and AR databases show that MSD classifier can compete with top-performance linear classifiers such as linear support vector machines, and is better than or equivalent to combinations of well known facial feature extraction methods, such as eigenfaces, Fisherfaces, orthogonal complementary space, nullspace, direct linear discriminant analysis, and the nearest neighbor classifier.

关键词： Fisher linear discriminant small sample size problem pattern classification multi-objective programming binary linear classifier face recognition

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Study on the combination efficiency of industrial enterprises

Study on the combination efficiency of industrial enterprise...

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International Conference on Management and Technology

作者： Ma Zhanxin Zhang Haijuan Cui Xiaohong Inner Mongolia Univ Sch Econ & Management Hohhot 010021 Peoples R China

ISBN: (纸本)9780646480930

Data envelopment analysis(DEA) is an important method to evaluate the efficiency of enterprises, but traditional DEA methods can not evaluate the efficiency of enterprises by some sample units because DEA production possibility sets are not include information of sample units. So we provide a nonparametric approach for evaluating combination efficiency of enterprises by using sample units, then discuss the meaning of combination efficiency and the method for judging combination efficiency. Finally, the combination efficiency of some industrial enterprises is analyzed by using this method.

关键词： combination efficiency data envelopment analysis multi-objective programming production possibility set sample unit

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A robust optimization model for multi-objective operation of supply chain under uncertain market

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26th Chinese Control Conference

作者： Xu Jiawang Huang Xiaoyuan Shenyang Inst Aeronaut Engn Dept Management Shenyang 110136 Liaoning Peoples R China Northeastern Univ Sch Business Adm Shenyang 110004 Peoples R China

ISBN: (纸本)9787811240559

A multi-objective operation model is proposed in this paper to deal with a multi-product, multi-period supply chain consisting of a supplier and a producer. In this supply chain, the amount of raw materials supply and their prices, ultimate products demand and their prices are uncertain. The uncertainties of prices are described by the uncertain intervals;the supplies and demands are described as a scenario set with certain probability. The model is constructed as a multi-objective programming problem to satisfy several conflict objectives, such as the operating coordination of supply chain, making the maximum profit of all participants as much as possible, and robustness of decision to uncertain markets. The result of a numerical example shows that the model we proposed is robust.

关键词： supply chain operation management robust optimization uncertainty multi-objective programming

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Design and research of robot joint actuated by SMA wire

Design and research of robot joint actuated by SMA wire

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IEEE International Conference on Robotics and Biomimetics (ROBIO 2007)

作者： Ying, Shenshun Qin, Xianshen Liu, Qiong Wang, Wendan Northwestern Polytech Univ Sch Electromech Engn Xian Shanxi Peoples R China Univ Strathclyde Dept Design Mfg & Engn Management Glasgow Huaguoshan G1 1XJ Scotland

ISBN: (纸本)9781424417612

In an effort to improve the convenience and modularization in the current methods proposed to design the actuated joint for robots, an approach is suggested and detailed by the design of an artificial muscle based actuated joint. The design methods is an integrated actuated joint mechanism for robots by using the gemel and SMA(Shape Memory Alloy, SMA) wires as the structure and muscle actuators respectively. In addition, a Cartesian coordinate system of the joint mechanism is formed to optimize the geometrical dimensions, and a mathematically model is constructed to reflect the relationships between the geometrical parameters, intensity, output torque and angular displacement of actuated joint. Furthermore, the model is solved by the multi-objective programming algorithm based on MATLABTM Optimization Toolbox function. The proposed method is demonstrated by its application in a sciatic joint design from a quadruped robot project, and the benefits of SMA muscle based actuated joint are highlighted in terms of strength, dexterity, and bearing.

关键词： artificial muscle actuated joint multi-objective programming motion decoupling

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