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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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Identification of redundant objective functions in multi-objective stochastic fractional programming problems

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ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH 2006年第2期23卷 155-170页

作者： Charles, V. Dutta, D. SDM Inst Management Dev Dept Quantitat Methods & Operat Res Mysore 570011 Karnataka India Natl Inst Technol Dept Math & Humanities Warangal 506004 Andhra Pradesh India

Redundancy in constraints and variables axe usually studied in linear, integer and non-linear programming problems. However, main emphasis has so far been given only to linear programming problems. In this paper, an algorithm that identifies redundant objective functions in multi-objective stochastic fractional programming problems is provided. A solution procedure is also illustrated. This reduces the number of objective functions in cases where redundant objective functions exist.

关键词： stochastic programming fractional programming multi-objective programming redundancy

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A fuzzy bicriteria approach for journal deselection in a hospital library* A previous version of this work has been published as Working Paper n° 384/2008 in the collection of Working Papers from the Fundación de las Cajas de Ahorros (FUNCAS).View all notes

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Library Acquisitions: Practice & Theory 2007年第3-4期31卷 138-160页

作者： María Luisa López-Avello María Victoria Rodríguez-Uría Blanca Pérez-Gladish

Collection management is an important duty of librarians. In the last years journal prices have increased and library decision-makers have been forced to consider cancelling some journal subscriptions as budgets have not increased always by the same ratio. This fact has made it essential to supply reliable and efficient measures about the importance of different journals for in-house users in order to help the decision-makers to cancel *** journal-use studies can be found in the literature providing methods for making these kinds of decisions, but usually they consider only one single and precise decision criterion. Nevertheless, it is common knowledge that any real decision usually considers more than one criterion, and so the problem of choosing a set of journals to cancel is compounded by the existence of conflicting criteria, such as the cost of the journal and demand for the *** predicting possible number of users of a certain journal is a complex task, the expert's judgments could be vital elements. Fuzzy Set theory could be a useful tool in dealing with these kinds of real decisions based on the expert's knowledge and characterized by some level of subjectivity, in which the decision-maker has imprecise and/or vague data and/or incomplete *** this paper a fuzzy bicriteria optimisation method is proposed to determine the optimal shape of the printed journal collection in a medical library in a Spanish public hospital. We jointly consider two criteria: maximising ausage functionand also anopportunity coefficient of purchasefunction, both defined for each printed journal. Budget constraints and minimum availability constraints are taken into *** proposed model is flexible, incorporates expert knowledge and can be easily extended to other hospital libraries.

关键词： multi-objective programming Fuzzy Sets Decision-making Journal deselection Weighting method

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A fuzzy bicriteria approach for journal deselection in a hospital library

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LIBRARY COLLECTIONS ACQUISITIONS & TECHNICAL SERVICES 2007年第3-4期31卷 138-160页

作者： Lopez-Avello, Maria Luisa Rodriguez-Uria, Maria Vickoria Perez-Gladish, Blanca Bilbao-Terol, Amelia Arenas-Parra, Mar Dept Econ Cuantitat Oviedo 33006 Spain Univ Oviedo Oviedo Spain

Collection management is an important duty of librarians. In the last years journal prices have increased and library decision-makers have been forced to consider cancelling some journal subscriptions as budgets have not increased always by the same ratio. This fact has made it essential to supply reliable and efficient measures about the importance of different journals for in-house users in order to help the decision-makers to cancel subscriptions. Many journal-use studies can be found in the literature providing methods for making these kinds of decisions, but usually they consider only one single and precise decision criterion. Nevertheless, it is common knowledge that any real decision usually considers more than one criterion, and so the problem of choosing a set of journals to cancel is compounded by the existence of conflicting criteria, such as the cost of the journal and demand for the journal. As predicting possible number of users of a certain journal is a complex task, the expert's judgments could be vital elements. Fuzzy Set theory could be a useful tool in dealing with these kinds of real decisions based on the expert's knowledge and characterized by some level of subjectivity, in which the decision-maker has imprecise and/or vague data and/or incomplete information. In this paper a fuzzy bicriteria optimisation method is proposed to determine the optimal shape of the printed journal collection in a medical library in a Spanish public hospital. We jointly consider two criteria: maximising a usage function and also an opportunity coefficient of purchase function, both defined for each printed journal. Budget constraints and minimum availability constraints are taken into account. The proposed model is flexible, incorporates expert knowledge and can be easily extended to other hospital libraries. (c) 2008 Elsevier Inc. All rights reserved.

关键词： multi-objective programming fuzzy sets decision-making journal deselection weighting method

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On portfolio investment model using ant colony optimization algorithm

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26th Chinese Control Conference

作者： Zhou Jianguo Zhang Hui Tian Jiming North China Elect Power Univ Sch Business & Adm Baoding 071003 Peoples R China Urumchi Elect Power Bur Urumqi 830002 Peoples R China

Based on Markowitz' theory of asset portfolio, a multiple-goal optimization model of portfolio investment was set up considering both risk and return. Then applying ant colony optimization algorithm to solve the m... 详细信息

ISBN: (纸本)9787811240559

关键词： portfolio investment multi-objective programming ant colony algorithm Lingo

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A Level of Service based Planning Model for Distribution Network Design

A Level of Service based Planning Model for Distribution Net...

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第一届交通运输工程国际学术会议

作者： LIU Yu-gang , HaoGuang , and LUO Xia College of Traffic and Transportation,Southwest Jiaotong University,Chengdu, P.R china, 610031

In the traditional design of distribution network, designers often consider cost or profit as the objective. However, this is no longer adequate since quality of service becomes more important because of the improvement of people’s living standard. Therefore, this paper first analyzes the division of distribution network. Based on the customers’ requirement, the paper evaluates alternative link and nod in the distribution network from the perspective of customer demand using fuzzy-logic based comprehensive evaluation. The resulting method analyzes the level of service of every enterprise for alternatives in the distribution network. This paper establishes a mathematical model for the supply chain’s distribution network with two goals: minimizing cost and maximizing level of service. The paper presents a solution to this multi-objective problem.

关键词： Distribution network Fuzzy comprehensive evaluation multi-objective programming

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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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LOGISTICS RESOURCES INTEGRATING EFFICIENCY OF THE RSTE BASED ON THE PARETO OPTIMUM

LOGISTICS RESOURCES INTEGRATING EFFICIENCY OF THE RSTE BASED...

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第一届交通运输工程国际学术会议

作者： W. H. XIA School of Traffic and Transportation, Central South University, Changsha, 410075, China,

Resources integration is an eternal of logistics management, but its efficiency is usually ignored. This paper studies the conditions of achieving the Pareto optimum (high-efficiency) on logistics enterprises resource integration by applying the multi-objective programming. To counter the present situation and problems of the RSTE logistics resources, it put forward project of the logistics resources integration that RSTE realize Pareto optimum. They should bring the resources superiority of own specialized transportation into full play and use the exterior favorable resources to develop the third-party specialization logistics(TPSL), and take providing the specialization and individuality service as enterprise's core businesses, and develop the related services on its chain;On the basis of the modern logistics idea, the RSTE should attach great importance to the integration and innovation of logistics operation and management ability resources, especially the establishment and improvement of the logistics information sharing mechanisms. Meanwhile, take the demand of meeting the market and innovative services as the pulling force, which drives the effective integration of enterprises' logistics resources and realizes the maximization of the enterprises' utility and efficiency.

关键词： Logistics management RSTE Resources integrating efficiency Pareto optimum multi-objective programming

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Finite coverings by cones and an application in multi-objective programming

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POSITIVITY 2003年第1-2期7卷 61-72页

作者： Tijs, S Reijnierse, H Tilburg Univ Dept Econometr NL-5000 LE Tilburg Netherlands Tilburg Univ CentER NL-5000 LE Tilburg Netherlands

This paper considers analogues of statements concerning compactness and finite coverings, in which the roles of spheres are replaced by cones. Furthermore, one of the finite covering results provides an application in... 详细信息

关键词： cones epsilon-domination finite covering multi-objective programming

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Resource allocation tradeoffs in Manila's peri-urban vegetable production systems: An application of multiple objective programming

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AGRICULTURAL SYSTEMS 2006年第2期87卷 147-168页

作者： Francisco, SR Ali, M AVRDC World Vegetable Ctr Tainan 741 Taiwan PhilRice Science City Munoz 3119 Nueva Ecija Philippines

This paper designed and developed a multi-objective programming (MOP) model to illustrate the dynamic relationship among technologies, productive activities, constraints and farmers' objectives in the peri-urban vegetable production system and use the model as an economic tool in analysing probable consequences of a given action or innovation on the farm. The best compromise solution was generated using four analytical steps, as follows: single-objective optimization (to determine the ideal and anti-ideal values of the objective functions);constrained optimization (to generate the set of Pareto non-dominated solutions);cluster analysis (to trim down efficient set into smaller homogeneous groups);and compromise programming (to determine where the best compromise solution lies). The study then evaluated the income and risk impacts of technological innovation, specifically that of the technologies espoused by the AVRDC-Manila Peri-urban project for tomato and pak choi production during the hot-wet season. It was found that relative to the current production system, the entry of grafted tomato under rainshelter in the best compromise solution could increase farmer's income, however, the price-induced risk also increased. This effect was brought about by the increased yield of tomato that caused variance of income to increase. This result indicates that under existing conditions, the higher income offered by the costly technology will only be acceptable if farmers are willing to take on the higher risk. The MOP model also assessed how making capital more accessible to the farmers will affect the extent of adoption (proxied by area planted to the crop) of the technology. Results showed that income would increase when capital constraint was relaxed. This increase in income, however, was made possible largely by the change in crop mix, with a relatively small increase in area planted to tomato. With regard the level of risk, the change in production resulted in an increase

关键词： multi-objective programming risk best compromise solution resource allocation peri-urban production systems

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