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12th International Conference on Computational Intelligence and Security (CIS)

作者： Li, Xiangyou Yannan Univ Coll Math & Comp Sci Yannan 716000 Shaanxi Peoples R China

In this paper, new classes of generalized convex functions are introduced for non-smooth multi -objective programming problem, mixed type dual problem is established, weak, strong duality theorems are derived under ne... 详细信息

ISBN: (纸本)9781509048403

关键词： generalized convex function multi-objective programming mixed duality non-smooth

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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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International Conference on Advanced Materials and Computer Science

作者： Wang, Ting Li, Lifeng N China Elect Power Univ Dept Econ & Management Baoding 071003 Peoples R China

ISBN: (纸本)9783037850978

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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Approximating Reachable Sets of Linear Control System Using multi-objective programming 29

Approximating Reachable Sets of Linear Control System Using ...

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第29届中国控制与决策会议

作者： Yangfan Zhang Lizhen Shao Guangda Hu Boyu Li Key Laboratory of Advanced Control of Iron and Steel Process(Ministry of Education) School of Automation and Electrical Engineering University of Science and Technology Beijing Department of Mathematics Shanghai University

ISBN: (纸本)9781509046584

A continuous control system can be discretized into a discrete control system by numerical methods for ordinary differential *** have shown that the reachable set of a continuous control system can be approximated by its discrete *** this paper,utilizing the convex property of the reachable set of a linear control system,we propose a method to approximate the convex reachable set of a discrete linear control system with multi-objective programming(MOP).We treat the reachable set problem as solving multiple MOP problems and the convex hull of the non-dominated sets of these MOPs is the reachable *** each MOP the revised normal boundary intersection method is used to obtain non-dominated ***,we use computational experiments to clearly illustrate the validity of this method.

关键词： Reachable set multi-objective programming Revised normal boundary intersection method

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The Class of the Generalized αk-Major Efficient Solutions for multi-objective programming

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Journal of Systems Science and Systems Engineering 2001年第4期13卷 439-442页

作者： XU Ze-shui Institute of Sciences, PLA University of Science and Technology, Nanjing 210016, Jiangsu, China Institute of Sciences PLA University of Science and TechnologyNanjing 210016 Jiangsu China

This paper proposes the concepts of generalized αk-major efficient solutions and generalized αk- major optimal solutions for multi-objective programming, and studies their some important properties.

关键词： multi-objective programming generalized αk-major efficient solutions generalized αk-major optima1 solutions

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Optimization of facility location and size problem based on bi-level multi-objective programming

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COMPUTERS & OPERATIONS RESEARCH 2022年 145卷 1页

作者： Hu, Zhineng Wang, Li Qin, Jindong Lev, Benjamin Gan, Lu Sichuan Univ Business Sch Chengdu 610064 Peoples R China Sichuan Agr Univ Coll Architecture & Urban Rural Planning Dujiangyan 611830 Peoples R China Wuhan Univ Technol Sch Management Wuhan 430070 Peoples R China Drexel Univ LeBow Coll Business Philadelphia PA 19104 USA

With the rapid urbanization, solving the facility location and size problem (FLSP) of general service infrastructure (GSI) has become an essential issue in spatial planning. Due to unreasonable location and regional scale, the satisfaction of residents has been seriously affected. This paper develops a bi-level multi-objective programming (BLMOP) to optimize both facility location and size. Three major problems have been addressed: (1) solving the contradiction between supply and demand;(2) keeping a balance of social, economic, and environmental benefits;and (3) designing a multi-objective particle swarm optimization (MOPSO) algorithm by modifying the parameters and learning strategies. To obtain feasible solutions, a combination of optimistic and pessimistic approaches is adopted. Taking the rural areas of Southwest China as an example, the results find that the proposed model enables to provide objective-oriented optimization schemes depending on the decision-maker's (DM) preferences. Furthermore, the MOPSO algorithm can solve the BLMOP and provide Pareto-optimal solutions separately.

关键词： Facility location and size problem Bi-level programming multi-objective programming Particle swarm optimization

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Integrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study

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JOURNAL OF CLEANER PRODUCTION 2020年 277卷 122597-122597页

作者： Feng, Jianghong Gong, Zongrong Jinan Univ Sch Management 601 Huangpu Ave West Guangzhou 510632 Peoples R China Guangzhou Med Univ Guangzhou Women & Childrens Med Ctr Guangzhou Peoples R China

Green supply chain management is one of the most important strategies to enhance the competitiveness of modern enterprises. Traditional supplier selection methods seldom consider the entire supply chain. Therefore, this paper proposes an integrated model combining the linguistic entropy weight method (LEWM) with multi-objective programming for supplier selection and order allocation in a circular economy. First, a comprehensive system of green supplier evaluation criteria is established, with each criterion clearly defined. Second, the LEWM is used to select qualified green suppliers, whose rankings are calculated. The proposed LEWM can not only select qualified green suppliers but also analyze each supplier's performance on each evaluation criterion;it can also provide improvement suggestions for suppliers. Third, based on the characteristics of current global supply chains in the automobile manufacturing industry, the order allocation model is established. The order allocation model constructed in this paper has three objectives: total cost minimization, carbon emission minimization, and procurement value maximization. The weighted maximum and minimum operator method is used to solve the model. Finally, the paper introduces how to use the proposed two-phase model to solve the problem of green supplier selection and order allocation, and conducts sensitivity analysis on the model results. The results show that the proposed framework can effectively resolve green supplier selection and order allocation for an automobile manufacture, and verify the scientific validity of the proposed method. This study could help to improve the relationship between companies and potential suppliers, and to improve green product development capabilities and supply chain management quality, thereby enhancing companies' market competitiveness. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Linguistic entropy weight method Supplier evaluation Green supply chain Order allocation multi-objective programming

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Sustainable supplier selection and order allocation: An integrated delphi method, fuzzy TOPSIS, and multi-objective programming model

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SCIENTIA IRANICA 2019年第4期26卷 2524-2540页

作者： Rabieh, M. Rafsanjani, A. Fadaei Babaei, L. Esmaeili, M. Shahid Beheshti Univ Fac Management & Accounting Tehran Iran Allameh Tabataba1 Univ Fac Management & Accounting Ind Management Tehran Iran

The purpose of the current study is to select suppliers and determine their order allocation in a way that the performance of the sustainability of the supply process gets optimized on the whole. In this research, after reviewing the literature and investigating the supply chain of the case study (Iran Khodro's supply chain) through Delphi method, a set of evaluation criteria related to the performance of the suppliers in economic, social, and environmental terms was identified. In the next stage, by using the identified criteria, the multi-objective mathematical integer programming was presented to solve the problems of supplier selection and order allocation. The suggested mathematical programming in this research is designed to be multi-product, single-period, and multiple sourcing. Fuzzy TOPSIS method is applied to calculate the qualitative parameters that are used in the suggested mathematical programming. Ultimately, the mathematical model suggested in the research is solved by two methods, i.e., epsilon constraint method and weighted sum method. Moreover, the Total Value of Sustainable Purchasing (TVSP) is calculated for both cases. The comparison of these two methods indicates that, in this research, the results of the weighted sum method are more efficient than those of the epsilon constraint method. (C) 2019 Sharif University of Technology. All rights reserved.

关键词： Sustainable supplier selection Order allocation Fuzzy TOPSIS multi-objective programming Epsilon constraint method Weighted sum method

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Application of Fuzzy multi-objective programming to Regional Sewer System Planning

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PROCESSES 2023年第1期11卷 183页

作者： Huang, Chung-Fu Chen, Wei-Ting Kao, Chuan-Ksing Chang, Han-Jung Kao, Po-Min Wan, Terng-Jou Zhaoqing Univ Sch Environm & Chem Engn Zhaoqing 526061 Peoples R China Zhaoqing Univ Guangdong Prov Key Lab Environm Hlth & Land Resour Zhaoqing 526061 Peoples R China St Marys Jr Coll Med Nursing & Management Dept Cosmet Applicat & Management Yilan 26644 Taiwan Natl Yunlin Univ Sci & Technol Dept Safety Hlth & Environm Engn Yunlin 64002 Taiwan Natl Yunlin Univ Sci & Technol Ctr Green Sustainable & Innovat Yunlin 64002 Taiwan Natl Yunlin Univ Sci & Technol Bachelor Program Ind Technol Yunlin 64002 Taiwan

Planning of sewer systems typically involves limitations and problems, regardless of whether traditional planning methods or optimization models are used. Such problems include non-quantifiability, fuzzy objectives, and uncertainties in decision-making variables which are commonly applied in the planning of any process. Particularly, uncertainties have prevented the inclusion of these variables in models. Consequently, the theoretical optional solution of the mathematical models is not the true optimum solution to practical problems. In this study, to solve the above problems for regional sewer system planning, multi-objective programming (MOP), nonlinear programming, mixed-integer programming, and compromise fuzzy programming were used. The objectives of this study were two-fold: (1) determination of the necessary decision-making variables or parameters, such as the optimum number of plants, piping layout, size of the plant, and extent of treatment;(2) establishment of a framework and methodology for optimal planning for designing a regional sewer system, matching demanded targets with the lowest cost, which would achieve the aim of lower space and energy requirements as well as consumption and high treatment efficiency for the purpose of meeting effluent standards. The findings of this study revealed that individual regional sewage treatment plants could be merged to form a centralized system. Land acquisition was difficult;thus, reducing the number of plants was required. Therefore, the compromise-fuzzy-based MOP method could effectively be used to build a regional sewer system plan, and the amount of in-plant establishment reached its maximized value with a minimized cost.

关键词： regional sewer system planning multi-objective programming nonlinear programming mixed-integer programming compromise fuzzy programming

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Modeling land allocation to produce crops under economic and environmental goals in Iran: a multi-objective programming approach

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ECOLOGICAL MODELLING 2022年 471卷

作者： Nikouei, Alireza Asgharipour, Mohammad Reza Marzban, Zahra AREEO Isfahan Agr & Nat Resources Res & Educ Ctr Econ Social & Extens Res Dept Esfahan Iran Univ Zabol Fac Agr Dept Agron Unit Agroecol Zabol Iran

This study introduces a multi-objective programming model for identifying a cropping pattern to evaluate the feasibility of increasing net profit, reducing water use, and diminishing the environmental impacts, simultaneously, under life cycle assessment (LCA). The research uses data collected in 2016-2017 through a survey in the east of the Lorestan Province of Iran. Results indicate that the multi-objective cropping pattern reduces environmental indicators, including water consumption by 1%, global warming potential by 14%, and nonrenewable energy use by 14%, with no change in farms' net profit compared to the current pattern in the region. The findings reveal that a designed cropping pattern under the constraints and objectives of LCA not only minimizes the environmental impacts, but also considers the stability of the benefits in the long term. However, the currently applied cropping pattern by farmers only focuses on achieving short-term profit-oriented goals. A new approach to land allocation is necessary to produce crops with a reduction in water consumption, nonrenewable energy use, and greenhouse gas emissions in the region. In this regard, it is essential to consider the policies that reduce available water and non-renewable resources into government decisions. On the other hand, policy incentives or disincentives, developing support packages of crop pricing, insurance and facilities support to prevent the cultivation of crops with high water demand and fertilizer are also essential. This proposed planning model should be used as the foundation for long-term cropping pattern planning policies in other irrigated and rainfed farming systems around the world.

关键词： multi-objective programming non-renewable energy mineral extraction optimization net profit life cycle analysis

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Applications of Interactive multi-objective programming Methods: a Survey

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IFAC Proceedings Volumes 1993年第2期26卷 407-412页

作者： H. Nakayama Department of Applied Mathematics Konan University 8-9-1 Okamoto lligashinada Kobe 658 Japan

Many practical problems often have several objectives conflicting with each other, and we need to make a balanced decision froln the total viewpoint. For these problems, the traditional mathematical programming is not valid, and instead the multi-objective programming have been developed. Among them, the aspiration level approach has been widely recognized to be effective in many practical fields. As one of the aspiration level approach, the author developed the satisficing trade-off method. And, he has been applying the method to several kinds of practical problems for these ten years. In this paper, a survey on applications of the method to practical problems will be given showing noteworthy points in real application

关键词： multi-objective programming applications of multi-objective programming satisficing trade-off method aspiration level approach

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