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Scalarization for characterization of approximate strong/weak/proper efficiency in multi-objective optimization

OPTIMIZATION 2013年第6期62卷 703-720页

作者： Ghaznavi-Ghosoni, B. A. Khorram, E. Soleimani-damaneh, M. Amirkabir Univ Technol Fac Math & Comp Sci Tehran 15914 Iran Univ Tehran Coll Sci Sch Math Stat & Comp Sci Tehran Iran

In this article, approximate solutions of multi-objective optimization problems are analysed. The notion of approximate solution suggested by Kutateladze is dealt with, and, utilizing different scalarization approaches, some necessary and sufficient conditions for E-(strong, weak, proper) efficiency are provided. Almost all of the provided results are established without any convexity assumption.

关键词： multi-objective programming E-(strong weak proper) efficiency approximation methods scalarization techniques

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multi-objective portfolio selection model with fuzzy random returns and a compromise approach-based genetic algorithm

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INFORMATION SCIENCES 2013年 220卷 507-521页

作者： Li, Jun Xu, Jiuping Univ Elect Sci & Technol China Sch Management & Econ Chengdu 610054 Peoples R China Sichuan Univ Uncertainty Decis Making Lab Chengdu 610064 Peoples R China

This paper addresses the multi-objective portfolio selection model with fuzzy random returns for investors by studying three criteria: return, risk and liquidity. In addition, securities historical data, experts' opinions and judgements and investors' different attitudes are considered in the portfolio selection process, such that the investor's individual preference is reflected by an optimistic-pessimistic parameter lambda. To avoid the difficulty of evaluating a large set of efficient solutions and to ensure the selection of the best solution, a compromise approach-based genetic algorithm has been designed to solve the proposed model. In addition, a numerical example is presented to illustrate the proposed algorithm. (C) 2012 Elsevier Inc. All rights reserved.

关键词： Portfolio selection multi-objective programming Fuzzy random variable Compromise solution Genetic algorithms

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multi-objective and Stochastic Optimization Model of Transit Containers Storage in a Transshipment port yard

Multi-objective and Stochastic Optimization Model of Transit...

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2nd International Conference on Information Technology and Management Innovation (ICITMI 2013)

作者： Wang, Bin Yang, Tao Shanghai Second Polytech Univ Sch Econ & Management Shanghai Peoples R China

ISBN: (纸本)9783037858646

The load/unload task in a transshipment port yard is more heavy and the time requirmement is more tight than an export port. A multi-objective and stochastic programming optimization model for containers stacking in the storage yard of a transshipment port is built to improve its efficiency. The objective function is to minimize the number of yard cranes used in the storage yard and balance the workload among different blocks during the planning period. The decision variables include the number of transit containers assigned to yard-bits, yard cranes distributed to blocks, yard-bits with high and low workload in a block. The constraints include meeting the shipping requirement, storage capacity and operational capacity of yard cranes. The numbers of transit containers are stochastic. The model is tranfered into an integer programming and solved by Lingo9.0. The simulation is done to recover the relation between workload level and the number of yard crane used and the workload balance. The model can be used to yard stacking management and lift its level for a transshipment port.

关键词： Storage yard Containers Yard crane multi-objective programming Stochastic programming

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multi-objective Production Planning Considering Partner Selection for Networked Manufacturing

Multi-Objective Production Planning Considering Partner Sele...

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19th International Conference on Industrial Engineering and Engineering Management

作者： Chen, Zhi-xiang Li, Li Sun Yat Sen Univ Dept Management Sci Guangzhou Guangdong Peoples R China Sun Yat Sen Univ Int Business Zhuhai Peoples R China

ISBN: (纸本)9783642384271;9783642384264

This paper studies an integrated optimization model of production planning with partner selection in a networked manufacturing system. An integrated multi-objective programming model is proposed and a numerical example is illustrated. The result shows the effectiveness and feasibility of the model. The model is suitable for the decision of production planning in networked manufacturing environment.

关键词： Production planning Partner selection multi-objective programming Networked manufacturing

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Comparison among Resource Allocation Methods with Packet Loss and Power Metrics in Geostationary Satellite Scenarios

Comparison among Resource Allocation Methods with Packet Los...

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IEEE International Conference on Communications (ICC)

作者： Bisio, Igor Delucchi, Stefano Lavagetto, Fabio Marchese, Mario Univ Genoa DITEN Dept Genoa Italy

ISBN: (纸本)9781467331227

The paper deals with the classical problem of the resource allocation in geostationary satellite scenarios where fading may negatively impact the communications. In more detail, we consider the case in which different performance metrics, such as Packet Loss and Power, are simultaneously taken into account. Starting from the wide literature in the field, this work tries to categorize the available and well-known resource allocation approaches into three groups: i) the capacity maximization with constrained power group, ii) the power minimization with constrained capacity group and iii) the multi-objective programming group. For each group a general mathematical formulation has been proposed and the main differences among the groups have been highlighted. The performance of the three listed groups are compared through simulations where two Earth Stations, afflicted by different fading conditions, have been considered. The comparison takes into account all the mentioned metrics (i.e., loss and power) and the computational complexity of the allocation approaches.

关键词： Satellite Communications multi-objective programming Power Minimisation Allocation Capacity Maximisation Allocation Performance Comparison

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multi-objective decision making for basin water allocation 20

Multi-objective decision making for basin water allocation

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20th International Congress on Modelling and Simulation (MODSIM)

作者： Roozbahani, R. Schreider, S. Abbasi, B. RMIT Univ Sch Math & Geospatial Sci Melbourne Vic 3001 Australia

ISBN: (纸本)9780987214331

Due to the significant role of water use in socio-economic development, competition for a larger share in water allocation is intense among stakeholders in watersheds. In this paper, three optimization models are developed to explore the optimal allocation of water among users, thus to resolve water conflicts in watersheds. The first model is a linear programming model. The objective function of this model maximizes the basins' revenue. The second model is a multi-objective optimization model. The objective functions of this model maximize the marginal value of water for stakeholders when environmental water supply is a constraint in the model. The third model is also a multi-objective programming model. Three objective functions;maximizing a basin revenue, minimizing the environmental water shortages, and minimizing water transfer from upstream area to downstream region are considered. These models are applied to the Sefidrud Basin, a watershed with eight administrative provinces, each considered as a stakeholder for the modelling. The formulations of three water allocation models are presented and the results of their implementation are compared. The results from the third model show that it would be able to supply more water to agriculture than other models if water authorities would not want the full satisfaction of environmental demand. In other words, if environment is taken into account as a stakeholder, for whom water shortages are acceptable, the third model is recommended. The comparison of the first and the second models reveals that the second model allocates water to stakeholders more equitably than the first model. In the case of the second model, the percentage of maximum and minimum water shortages for the Sefidrud Basin's stakeholders are 71 and 20, respectively, in comparison with 81 and 8 provided by the first model. Hence, we recommend using the second model for resolving water conflicts in watersheds when the satisfaction of environmental water

关键词： Water allocation linear programming multi-objective programming conflict resolution

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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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5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)

作者： Belaid, Aouni Razmak, Jamil Laurentian Univ Fac Management Sch Commerce & Adm Decis Aid Res Grp Sudbury ON P3E 2C6 Canada

ISBN: (纸本)9781467358149;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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The Research on Emergency Supplies Dispatching under the Circumstance of Unconventional Emergency

The Research on Emergency Supplies Dispatching under the Cir...

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International Conference on Materials, Transportation and Environmental Engineering (CMTEE 2013)

作者： Chen, Yehua Zhang, Shu Chen, Qianqian Yanshan Univ Qinhuangdao Peoples R China Beijing Univ Aeronaut & Astronaut Beijing Peoples R China

ISBN: (纸本)9783037858042

A three-echelon network for emergency supplies dispatching is designed according to the characteristics of emergency supplies dispatching under the unconventional emergency. This paper aims at proposing a multi-objective programming model of minimum cost as well as shortest time under the circumstance of multiple depots, multiple supply-hubs, multiple disaster places, multiple type of supplies and multiple transportation modes. It finally solves the model by integer programming algorithm and testifies the validity of the model with an example.

关键词： Unconventional emergency Emergency supply multi-objective programming Fuzzy constraint condition

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Selection of Socially Responsible Portfolios Using Hedonic Prices

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JOURNAL OF BUSINESS ETHICS 2013年第3期115卷 515-529页

作者： Bilbao-Terol, Amelia Arenas-Parra, Mar Canal-Fernandez, Veronica Bilbao-Terol, Celia Univ Oviedo Fac Econ & Business Dept Quantitat Econ E-33006 Oviedo Asturias Spain Univ Oviedo Fac Econ & Business Dept Appl Econ E-33006 Oviedo Asturias Spain Univ Oviedo Fac Econ & Business Dept Econ E-33006 Oviedo Asturias Spain

This paper presents a novel framework for selecting socially responsible investment (SRI) portfolios. The Hedonic Price Method (HPM) is applied to obtain an evaluation of SRI criteria that is integrated into a multi-objective mathematical programming model. The HPM breaks away from the traditional view that goods are the direct object of utility;on the contrary, it assumes that utility is derived from the properties or characteristics of the goods themselves. As far as the investment decision is concerned, we assume that socially responsible investmentmutual funds (SRI funds) constitute heterogeneous goods. Our approach allows us to obtain a portfolio, the financial performance of which is similar to that which the investor would have reached if he or she had not taken into account social, ethical, and environmental considerations when making his or her investment decisions. This is achieved by designing a two-stage multi-objective mathematical programming procedure. In the first stage, we achieve the maximum level of financial satisfaction that the investor can receive. In the second stage, the portfolio with the best financial-social behavior is built. For the purpose of this second stage, the first stage portfolio is used as a benchmark for the financial performance of a socially responsible portfolio. To apply this methodology, we use portfolios composed of socially responsible and conventional mutual funds domiciled in Spain.

关键词： Socially responsible investment Portfolio selection Mutual funds multi-objective programming Hedonic prices Variance Conditional value-at-risk Certainty equivalent

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Evaluation of environmentally benign production program in the textile-dyeing industry (II): a multi-objective programming approach

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CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS 2008年第1期25卷 1-28页

作者： Wu, Chia-Chin Chang, Ni-Bin Univ Cent Florida Dept Civil & Environm Engn Orlando FL 32816 USA Univ So Calif Dept Biomed Engn Los Angeles CA 90089 USA

The ways for improving a cost-effective industrial production program described in an earlier paper primarily focused on the quality assurance/quality control (QA/QC) schemes within the manufacturing stage. However, industry with high demand of resources input must evolve the essential production strategies to meet the goals in an environmentally benign production program. This paper describes the method and procedure for optimizing a textile-dyeing manufacturing process with respect to the potential impact of pollution charges, resources conservation fees, production cost, inventory cost, and the limitations of production capacity simultaneously. The optimal production strategy concerning numerous screening processes of those production alternatives in terms of market demand, production technology, and resources allocation is treated as an integral part in the multi-objective decision analysis. Facing the growing impact of rising environmental costs and the awareness of implications of industrial ecology, the case-study designed for a textile-dyeing factory in Central Taiwan demonstrates the application potential of a multi-objective evaluation method. It also emphasizes that the employed cost-effectiveness assessment framework can not only consider the conventional costs but also include the hidden costs, such as emission/effluent charges and water resources conservation fees to address the impacts of economic instruments. The research findings clearly indicate that apart from the concern of conventional cost accounting, enterprises facing the challenge of new environmental regulations and policy, which are designed to internalize the external cost in the society, and changing production requirements should employ such an optimal production assessment to enhance their competitiveness.

关键词： industrial ecology environmental management multi-objective programming pollution charge environmental cost resources valuation production planning

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