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2012 IEEE 19th International Conference on Industrial Engineering and Engineering Management(IE&EM 2012)

作者： Jia-wang Xu Yi Zhang Li-qiang Zhao College of Economics and Management Shenyang Aerospace University Shenyang Institute of Automation Chinese Academy of Sciences

The coordinate operating process of a supply chain is considered. The supply chain is consisting of a manufacturer, a supplier and several customers, the semi- finished products of the supplier are raw materials of the manufacturer, demands of customers are uncertain, and the uncertainties of demands are described as fuzzy sets. A multi-objective fuzzy programming model for coordinate operations of the supply chain is constructed and a numerical example is proposed. The results of the numerical example shows that decision makers can obtain an optimal operations strategy by using the model proposed in this paper according to the level of uncertainties of demands, and the operation strategy possesses robustness in same ways.

关键词： Coordinate Operations Fuzzy programming multi-objective programming supply chain uncertainty

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Convergence of Random to Power-Law Networks Using a multi-objective Non-linear programming Model

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JOURNAL OF multi-CRITERIA DECISION ANALYSIS 2015年第5-6期22卷 232-243页

作者： Petridis, Nikolaos Aristotle Univ Thessaloniki Fac Econ & Polit Sci Sch Econ Thessaloniki 54124 Greece

Networks are a powerful and useful tool for analysing complex systems. Three main types of networks have been proposed in the relative literature in order to interpret adequately evolving or stationary phenomena. In this research, two network structures are analysed;the first type is the random network, which was initially introduced by Erdos and Renyi. Random networks properties remain the same over time, and they do not exhibit high degree of clustering, whereas the second structure studied, the power-law network that have been examined by Albert and Barabasi, can incorporate attributes that are observed in natural networks (i.e. the World Wide Web and the authors' collaboration). In this study, an attempt is made to investigate the conditions under which random network and power law (or scale free) converge into one at a given time point. Three main metrics are used in order to examine the proximity between the studied structures: (i) clustering coefficient, (ii) average path length and (iii) degree distribution. Considering the difference of the corresponding metrics of each network type as an objective function, a multi-objective discontinuous non-linear programming model is employed using the weighted sum model as a solution approach. A statistical meta-analysis is performed using a multivariate logit model in order to assess the effect of each network's specific variables on the objective function. Copyright (C) 2015 John Wiley & Sons, Ltd.

关键词： random networks power-law networks multi-objective programming weighted sum model logit model

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A cutting plane approach for multi-objective integer indefinite quadratic programming problem

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OPSEARCH 2015年第2期52卷 367-381页

作者： Arora, Ritu Arora, S. Univ Delhi Keshav Mahavidyalaya Dept Math Delhi India Univ Delhi Hansraj Coll Dept Math Delhi India

In this paper, an algorithm is developed to solve a multi-objective Integer Indefinite Quadratic programming Problem(IQMPP). The cutting plane technique finds all the non-dominated p-tuples of the (IQMPP) problem. Since the objective functions of (IQMPP) problem are quasi-monotone, the cutting plane truncates a portion of the feasible region and enables us to find all the non-dominated p-tuples at extreme points of the remaining feasible region. The algorithm is explained with the help of an example.

关键词： Indefinite quadratic programming problem multi-objective programming Integer programming Non-dominated solution Bounded variables

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multi-objective Compromise Allocation in multivariate Stratified Sampling Using Extended Lexicographic Goal programming with Gamma Cost Function

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Journal of Mathematical Modelling and Algorithms in Operations Research 2015年第3期14卷 255-265页

作者： Muhammad, Yousaf Shad Shabbir, Javid Husain, Ijaz Abd-el.Moemen, Mitwali Department of Statistics Quaid-i-Azam University Islamabad Pakistan College of Law and Political Science King Saud University Riyadh Saudi Arabia

In the present paper, a new Gamma cost function is proposed for an optimum allocation in multivariate stratified random sampling with linear regression estimator. Extended lexicographic goal programming is used for solution of multi-objective non-linear integer allocation problem. A real data set is used to illustrate the application. © 2014, Springer Science+Business Media Dordrecht.

关键词： Compromise allocation Lexicographic goal programming multi-objective programming multivariate stratified sampling Nonlinear cost function

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Decision Based on Fuzzy multi-objective programming Method of High-Tech Investment Portfolio

Decision Based on Fuzzy Multi-Objective Programming Method o...

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2011 International Conference on Advanced Materials and Computer Science(ICAMCS 2011)

作者： Ting Wang Lifeng Li Department of Economics and Management North China Electric Power University

The expected rate of earnings and risk of high-tech projects are very fuzzy, and investors hope to get the expected rate of earnings maximization and risk minimization. Therefore, this paper establishes the model of fuzzy multi-objective programming method to select an optimal portfolio scheme. On the one hand, the objectives risk can be scattered, on the other hand investors can get ideal earnings. The example shows that this method to solve problems of portfolio investment decision is feasible and effective.

关键词： Fuzzy multi-objective programming Investment Portfolio High-tech

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A Risk-Based Stability Dispatch of High Wind-Penetrated Power Systems with Energy Storage

A Risk-Based Stability Dispatch of High Wind-Penetrated Powe...

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IEEE Innovative Smart Grid Technologies - Asia

作者： Xuekuan Xie Zhao Yang Dong Tengjun Zuo Yan Xu School of Electrical Engineering and Telecommunications University of New South Wales School of Electrical & Electronic Engineering Nanyang Technological University

ISBN: (纸本)9781538642924

This paper proposes a multi-objective preventative-emergency coordinated control (MO-PECC) method for high wind-penetrated power systems. The method facilitates utility-grade energy storage (ES) to realize post-contingency emergency control, and can generate indicator of system instability risk for solution sets. Once an unstable post-contingency system is detected, the ES systems immediately react for power injection/retraction, thus achieving emergency control to alleviate short-term system power imbalance and stabilizing the system together with synchronous generators. Numerical tests are performed on a modified IEEE-39 system, in which 3 synchronous generators are replaced by 3 same-scale wind farms. The test results verified the effectiveness of the proposed coordinated method, and the calculating time is relatively small, which is suitable for online calculation.

关键词： Energy storage Wind power multi-objective programming Transient stability Coordinated control

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A traffic-awareness dynamic resource allocation scheme based on multi-objective optimization in multi-beam mobile satellite communication systems

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2017年第8期13卷 1-14页

作者： He, YuanZhi Jia, YiZhen Zhong, XuDong Inst China Elect Equipment Syst Engn Co Beijing 100141 Peoples R China PLA Univ Sci & Technol Inst Commun Engn Nanjing Jiangsu Peoples R China

Mobile satellite communication systems play an important role in space information networks. They mostly operate at the L or S band and have multiple beams efficiently reusing the limited spectrum. Advanced technologies, such as beamforming, are used to generate numerous beams through multiple feeders, and each beam's power allocation is correlated and constrained. Frequency reuse among multiple beams results in co-channel interference issue, which makes bandwidth allocation among multiple beams coupled. It is a challenging topic to optimize the resource allocation in the real-time service traffic. In this article, a new multi-objective programming scheme is used to solve the dynamic resource allocation problem, guaranteeing high quality-of-service for multiple services of different priorities. Since the dynamic resource allocation problem is formulated as NP-hard, a new traffic-aware dynamic resource allocation (TADRA) algorithm is proposed. This algorithm is proved to be optimal in terms of the Pareto-front under constraints of co-channel interference and onboard transmit power. Simulation results show that the trade-off is well balanced between the call completion ratio in high priority and the throughput for video and data services in medium and low priorities. Additionally, it is shown that the new multi-objective programming scheme, based on the traffic-awareness dynamic resource allocation algorithm, can rapidly achieve the Pareto-front solutions and reduce the computing complexity to a large extent.

关键词： Space information networks multi-objective programming traffic awareness dynamic resource allocation multiple beams mobile satellite communication systems

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Scale Forecast Method for Regional Highway Network Based on BPNN-MOP

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Transportation Research Procedia 2017年 25卷 3840-3854页

作者： Hang Yang Xiaoqing Li Bing Wu Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji University No.4800 Cao’an Road Shanghai 201804 China

The forecast of the scale of highway network is of great importance in the planning of regional highway network. This paper is to seek a hybrid method to improve the accuracy and reliability of scale-forecast and obtain the optimal hierarchical structure of highway network in Hangzhou in the Year 2015, 2020 and 2025. Firstly, drawbacks of traditional scale-forecast methods of highway network and advantages of the combinative forecast method which embraces BP neural network (BPNN) and Markov chain are illustrated. Then, a novel prediction method which is based on BPNN and Markov chain with the consideration of five elements, including GDP, total population, the number of civil motor vehicle ownership, passenger capacity and volume of freight traffic is proposed. After that, a multi-objective programming (MOP) model is established to obtain the optimum technical grade structure of highway network. Thirdly, with the Program for the 13th Five-Year Development Plan of Highway Transportation in Hangzhou, the scale of highway and its optimal hierarchical structure in the year of 2015, 2020 and 2025 is obtained. Finally, the results show that the accuracy and reliability of the forecast method are improved, and the model proves to be of both theoretical and practical significance.

关键词： highway transportation highway network scale forecast BP neural network Markov chain multi-objective programming

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Genetic algorithm based fuzzy stochastic transportation programming problem with continuous random variables

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OPSEARCH 2016年第4期53卷 835-872页

作者： Dutta, S. Acharya, S. Mishra, Rajashree KIIT Univ Sch Appl Sci Dept Math Bhubaneswar Orissa India

This paper is concerned with the solution procedure of a multi-objective transportation problem with fuzzy stochastic simulation based genetic algorithm. Supplies and demands are considered as a fuzzy random variables with fuzzy means and fuzzy variances in proposed multi-objective fuzzy stochastic transportation problem. The first step in fuzzy simulation based genetic algorithm is to deal with aspiration level of the constraints with the help of alpha-cut technique to obtain multi-objective stochastic transportation problem. In next step, fuzzy probabilistic constraints (fuzzy chance constraints) are handled within fuzzy stochastic simulation based genetic algorithm to obtain a feasible region. The feasibilities of the chance constraints are checked by the stochastic programming with the genetic process without deriving the deterministic equivalents. The feasibility condition for the transportation problem is maintained through out the problem. Finally, multiple objective functions are considered in order to generate a Pareto optimal solutions for the fuzzy stochastic transportation problem using the proposed algorithm. The proposed procedure is illustrated by two numerical examples.

关键词： Stochastic programming multi-objective programming Fuzzy programming Chance constrained programming Genetic algorithm

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On Downlink Resource Allocation for SWIPT in Small Cells in a Two-Tier HetNet

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2016年第11期15卷 7709-7724页

作者： Lohani, Sudha Hossain, Ekram Bhargava, Vijay K. Univ British Columbia Vancouver BC V6T 1Z4 Canada Univ Manitoba Winnipeg MB R3T 5V6 Canada

We study the downlink resource allocation problem for simultaneous wireless information and power transfer (SWIPT) in small cells underlaying a macrocell in a two-tier heterogeneous network. For SWIPT, we consider both time-switching and power-splitting approaches. We determine downlink transmit power of small cell base stations along with time-switching/power-splitting variables for SWIPT to jointly optimize energy harvesting rate and achievable throughput of small cell users while ensuring minimum throughput of macrocell user. In the time-switching approach, the resource allocation problem is formulated as a mixed-integer non-linear programming (MINLP) problem. The formulated MINLP problem is solved by relaxing the binary integer constraint and then identifying the condition at which the obtained solution satisfies that constraint. In both the time-switching and power-splitting approaches, in the presence of non-negligible co-tier interference, the formulated problem is solved sub-optimally by iteratively maximizing the minorant of the non-convex objective function. A special case with negligible co-tier interference is considered in the time-switching approach and the optimal solution is obtained by using convex optimization techniques. Numerical results demonstrate significant gain in energy harvesting rate when macrocell users have flexible interference tolerance levels in time-switching approach, highlight the improvement in energy harvesting rate in the presence of co-tier interference signal, and reveal interesting trade-off in achievable throughput and energy harvesting rate.

关键词： HetNets small cells simultaneous wireless information and power transfer (SWIPT) time-switching power-splitting resource allocation multi-objective programming scalarization technique convex optimization

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