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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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Semi-structured Fuzzy Decision-making Approach to multi-objective programming Problems

Semi-structured Fuzzy Decision-making Approach to Multi-obje...

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2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009)

作者： Xuefeng Yu Xiaowei Zhang Lili Mu School of Hydraulic and Electric Engineering Heilongjiang University Harbin 150086,China

This paper applies the semi-structured decisionmaking model(SDM) to the multi-objective linear ***,the general form of the multi-objective programming is *** the SDM is *** that,the weight of decision-making objective is determined,and also the objective function is established combining with the ***,the algorithm is discussed with an example.

关键词： fuzzy decision-making multi-objective programming economic benefits social benefits environmental benefits

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Automated generation of optimised building envelope: simulation based multi-objective process using evolutionary algorithm

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International Journal of Sustainable Building Technology and Urban Development 2014年第3期5卷 159-170页

作者： Yi, Hwang School of Design University of Pennsylvania Philadelphia 19104 United States

This paper seeks to investigate methodology on the seamless integration for constructing a climate-conscious building envelope. The focus is targeted to provide architectural designers with an intelligent way to develop their design alternatives in the early phase of a project. Improved environmental performance can be achieved by using an optimised building envelope based on local data analysis. For tight integration, coupling of MATLAB and Rhino was employed through coding for real-time information exchanges. EnergyPlus and ECOTECT were implemented in the modelling process to simulate environmental performance. This process considers two cost functions: solar radiation and energy. Respective performance check-up runs into multi-objective programming (MOP). Decision-making in MOP is optimised by using an Evolutionary Algorithm (EA), and culminated with Pareto efficiency. A sample experiment was conducted to test the methodology and results. The city, Moscow, having a conflicting claim of energy use reduction and increment of solar radiation due to its frigid local weather, was selected. Variants of adapted forms in the urban setting were visualised though the EA process in Rhino, and finalised to each dissimilar objective. The Pareto frontier method compromised the final models which were fitted best to energy and solar radiation each. The result shows how a form of building envelope can be adapted in a specific local context. This procedure serves to put forward a new user-oriented methodology and its application, intensifying the practical viability of performance-based building design in the future. © 2014 Taylor & Francis.

关键词： climate-conscious building envelope evolutionary algorithm multi-objective programming

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Intuitionistic fuzzy optimization technique for Pareto optimal solution of manufacturing inventory models with shortages

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2013年第2期228卷 381-387页

作者： Chakrabortty, Susovan Pal, Madhumangal Nayak, Prasun Kumar Vidyasagar Univ Dept Appl Math Oceanol & Comp Programming Midnapore 721102 India Bankura Christian Coll Bankura 722101 India

This paper discusses a manufacturing inventory model with shortages where carrying cost, shortage cost, setup cost and demand quantity are considered as fuzzy numbers. The fuzzy parameters are transformed into corresponding interval numbers and then the interval objective function has been transformed into a classical multi-objective EPQ (economic production quantity) problem. To minimize the interval objective function, the order relation that represents the decision maker's preference between interval objective functions has been defined by the right limit, left limit, center and half width of an interval. Finally, the transformed problem has been solved by intuitionistic fuzzy programming technique. The proposed method is illustrated with a numerical example and Pareto optimality test has been applied as well. (C) 2013 Elsevier B.V. All rights reserved.

关键词： Inventory Fuzzy sets Pareto optimal solution Intuitionistic fuzzy optimization technique multi-objective programming

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Environmental performance-Impacts of vendor-buyer coordination

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INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2013年第2期145卷 683-695页

作者： Chan, Chi Kin Lee, Y. C. E. Campbell, J. F. Hong Kong Polytech Univ Dept Appl Math Hong Kong Hong Kong Peoples R China Univ Missouri Coll Business Adm Dept Logist & Operat Management St Louis MO 63121 USA

Effective coordination is a hallmark of successful supply chain management. Without such coordination, vendors and buyers will act independently to make decisions that optimize their own objectives (e.g., maximize their respective profits or minimize their costs). This non-coordinated approach is unlikely to be optimal when one considers the supply chain as a whole. Most vendor-buyer coordination research concentrates only on an objective of minimizing total system costs;but with the increasing environmental awareness in business and the general public, many organizations acknowledge that strategies and practices which incorporate environmental considerations are essential to acquire a competitive advantage. The objectives of this research are concerned not only with the economic impact of vendor-buyer coordination on the organizations involved, but also with the wider effects on society, such as the effects of pollution on the environment. This research demonstrates how to effectively incorporate environmental issues into vendor-buyer coordination. First, we study the impacts of cost-minimizing vendor-buyer coordination models on environmental performance when compared with independent (non-coordinated) optimization. Second, we develop a single-vendor multi-buyer coordination model that includes both costs and environmental performance measures in its objective function. A numerical example and a real case study show how both the total system cost and the environmental performance can be simultaneously improved. (C) 2013 Elsevier B.V. All rights reserved.

关键词： Green supply chain Utility functions Synchronization multiple buyers multi-objective programming

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A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return

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APPLIED MATHEMATICAL MODELLING 2013年第6期37卷 4165-4176页

作者： Amin, Saman Hassanzadeh Zhang, Guoqing Univ Windsor Dept Ind & Mfg Syst Engn Windsor ON N9B 3P4 Canada

A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and a-constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously. (C) 2012 Elsevier Inc. All rights reserved.

关键词： Reverse logistics (RL) Closed-loop supply chain (CLSC) Mixed-integer linear programming (MILP) multi-objective programming Stochastic programming

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State-of-the-Art Techniques and Challenges Ahead for Distributed Generation Planning and Optimization

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IEEE TRANSACTIONS ON POWER SYSTEMS 2013年第2期28卷 1493-1502页

作者： Keane, Andrew Ochoa, Luis F. Borges, Carmen L. T. Ault, Graham W. Alarcon-Rodriguez, Arturo D. Currie, Robert A. F. Pilo, Fabrizio Dent, Chris Harrison, Gareth P. Univ Coll Dublin Sch Elect Elect & Commun Engn Dublin Ireland Univ Manchester Smart Distribut Networks Manchester Lancs England Univ Fed Rio de Janeiro BR-21941 Rio De Janeiro Brazil Univ Strathclyde Inst Energy & Environm Glasgow G1 1XQ Lanark Scotland Univ Durham Sch Engn & Comp Sci Durham England Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland Univ Edinburgh Bert Whittington Chair Elect Power Engn Edinburgh EH8 9YL Midlothian Scotland

It is difficult to estimate how much distributed generation (DG) capacity will be connected to distribution systems in the coming years;however, it is certain that increasing penetration levels require robust tools that help assess the capabilities and requirements of the networks in order to produce the best planning and control strategies. The work of this Task Force is focused on the numerous strategies and methods that have been developed in recent years to address DG integration and planning. This paper contains a critical review of the work in this field. Although there have been numerous publications in this area, widespread implementation of the methods has not taken place. The barriers to implementation of the advanced techniques are outlined, highlighting why network operators have been slow to pick up on the research to date. Furthermore, key challenges ahead which remain to be tackled are also described, many of which have come into clear focus with the current drive towards smarter distribution networks.

关键词： AC optimal power flow active network management distributed generation distribution networks linear programming multi-objective programming wind power generation

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Optimal resource allocation in urban transportation networks considering capacity reliability and connectivity reliability: a multi-objective approach

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INTERNATIONAL JOURNAL OF CIVIL ENGINEERING 2013年第1期11卷 33-42页

作者： Mohaymany, A. Shariat Babaei, M. Iran Univ Sci & Technol Fac Civil Engn Tehran Iran

Since the 1990:9, network reliability has been considered as a new index for evaluating transportation networks under uncertainty. A large number of studies have been revealed in the literature in this field, which are mostly dedicated to developing relevant measures that can be utilized for the evaluation of vulnerable networks under different sources of uncertainty, such as daily traffic flow fluctuations, natural disasters, weather conditions, and so fourth. This paper addresses the resource allocation problem in vulnerable transportation networks, in which multiple performance reliability measures should be met at their desired levels, while the overall cost of upgrading links 'performances should be minimized simultaneously. For this purpose, a new approach has been considered to formulate the two well-known performance measures, connectivity and capacity reliability, along with their application in a bi-objective nonlinear mixed integer goal programming model. In order to take into account the uncertain conditions of supply, links' capacities have been assumed to be random variables and follow normal distribution functions. A computationally efficient method has been developed that allows calculating the network-wise performance indices simply by means of a set of functions of links' 'performance reliabilities. Using this approach, as the performance reliability of links are themselves functions of the random links' capacities, they can be simply calculated through numerical integration. To achieve desirable levels for both connectivity reliability and capacity reliability (as network-wise performance reliability measures) two distinct objectives have been considered. One of the objectives seeks to maximize each of the measures regardless of what is happening to the other objective function which minimizes the budget. Since optimization models with two conflicting objectives cannot be solved directly, the well-known goal attainment multi-objective decision-mak

关键词： Network design Resource allocation multi-objective programming Urban transportation networks Connectivity reliability Capacity reliability

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A stochastic lot-sizing model with multi-supplier and quantity discounts

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2013年第1期51卷 245-263页

作者： Kang, He-Yau Lee, Amy H. I. Chung Hua Univ Dept Technol Management Hsinchu Taiwan Natl Chin Yi Univ Technol Dept Ind Engn & Management Taipei Taiwan

This research considers a stochastic lot-sizing problem with multi-supplier and quantity discounts. The objectives are to minimise total costs, where the costs include ordering cost, holding cost, purchase cost and shortage cost, and to maximise service level of the system. In this paper, we first formulate the stochastic lot-sizing problem as a multi-objective programming (MOP) model. We then transform the model into a mixed integer programming (MIP) model. Finally, an efficient heuristic dynamic programming (HDP) model is constructed for solving large-scale stochastic lot-sizing problems. An illustrative example with two cases for a touch panel manufacturer is used to illustrate the practicality of these models, and a sensitivity analysis is applied to understand the impact of the changes in parameters to the outcomes. The results demonstrate that the proposed two models are effective and accurate tools for determining the replenishment of touch panels from multiple suppliers for multi-periods.

关键词： stochastic lot-sizing mixed integer programming heuristic dynamic programming multi-objective programming

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A multi objective programming Algorithm for Wireless Sensor Networks

A Multi Objective Programming Algorithm for Wireless Sensor ...

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International Conference on Communication Software and Networks

作者： Zhou, Guomin Zhejiang Police Coll Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9780769535227

With multimedia technology rapid development and popular application in the wireless sensor networks (WSN), it become a facing problem necessarily that the wireless sensor network need to support quality of service (Qos) for all kinds of services. Accordingly, this paper builds a multi objective programming model and presents a Qos routing algorithm for WSN, which can also run efficiently with best-effort traffic. Simulations and comparisons with some typical route algorithms show that our algorithm is robust and effective.

关键词： wirelsee sensor networst multi-objective programming quality of service

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