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A priority-based multi-objective framework for water resources diversion and allocation in the middle route of the South-to-North Water Diversion Project

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SOCIO-ECONOMIC PLANNING SCIENCES 2021年 78卷

作者： Zhao, Siwei Liu, Weidong Zhu, Mengyuan Ma, Yanfang Li, Zongmin Sichuan Agr Univ Coll Landscape Architecture Chengdu 611130 Peoples R China Sichuan Univ Business Sch Chengdu 610064 Peoples R China Hebei Univ Technol Sch Econ & Management Tianjin 300401 Peoples R China

Because of the degradation of the social-ecological-economic-environmental (SEEE) system, water scarcity has been a growing source of conflicts over the globe. Further, the uncertainty arising from complex water resource scenarios increases the conflicts between the different water users and destabilizes water allocation systems. In this study, a priority-based multi-objective programming (MOP) model (quantitative path) with fuzzy random variables (FRVs) is established for a water resource diversion and allocation (WRDA) problem. To determine the priorities of the multiple objectives, a priority-determination approach (qualitative path) is designed, comprising of a pressure-state-response (PSR) multiple attribute assessment system and a technique for order preference by similarity to an ideal solution (TOPSIS)-based evaluation method. Then the MOP model is transformed into a solvable goal programming (GP)-based model. Because of the inclusion of FRVs, the obtained results can be adjusted to local conditions in view of social, economic, environmental and ecological objective priorities. Therefore, they are more applicable than traditional weight sum or Pareto multi-objective WRDA methodologies. A case study from the middle route of the South-to-North Water Diversion Project (SNWDP-MRP) in China is given to demonstrate the practicability and rationality of the proposed methodology in obtaining scientific WRDA plans.

关键词： Fuzzy random variable multi-objective programming Priority Water resources diversion and allocation

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An integrated replenishment-recruitment policy in a sustainable retailing system for deteriorating products

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SOCIO-ECONOMIC PLANNING SCIENCES 2020年 69卷 100686-100686页

作者： Sazvar, Zeinab Sepehri, Mehran Univ Tehran Coll Engn Dept Ind Engn Tehran Iran Sharif Univ Technol Grad Sch Management & Econ Tehran Iran

Currently, retail facilities play a significant role both economically and socially for their contributions to job creation and to reducing unemployment. In this paper, economic, environmental, and social issues, including unemployment, job creation for the local workforce within their hometown, the immigration of an unemployed workforce, and the naturalization of non-natives are addressed for a retailer. We explore the class of deteriorating products from the viewpoint of its economic and environmental features. Then, a linear multi-objective mathematical model is developed to determine an integrated replenishment and recruitment policy for the retailer in the direction of sustainability. Using data from the flower industry, a numerical analysis is presented. The results indicate that if necessary facilities and infrastructures are provided to permanently settle qualified immigrants, both social and economic indicators will be improved. We also determine that by concentrating on strategies such as job creation for natives through retail facilities with no increase in production capacity and by applying careful policies for immigration and naturalization, social welfare can be improved.

关键词： Deteriorating products Job creation Sustainable retailer Immigration multi-objective programming Native workforce

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Optimization of above-ground environmental factors in greenhouses using a multi-objective adaptive annealing genetic algorithm

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HELIYON 2024年第12期10卷 e33036页

作者： Zhang, Ning Tan, Qinyue Song, Wancong Li, Qiuying Northwest A&F Univ Coll Water Resources & Architectural Engn Yangling 712100 Shaanxi Peoples R China China JILIANG Univ Coll Opt & Elect Technol Hangzhou 310018 Zhejiang Peoples R China

The greenhouse environment represents a dynamic, nonlinear system characterized by hysteresis and is influenced by a myriad of interacting environmental parameters, posing a complex multi- variable optimization challenge. This study proposes a multi-objective adaptive annealing genetic algorithm to optimize above-ground environmental factors in greenhouses, addressing the challenges of variable environmental conditions and extensive heating and humidity infrastructure. Initially, after analyzing the multi-objective model of greenhouse above-ground environmental factors, including temperature, relative humidity, and CO2 2 concentration, a comprehensive multi- objective, multi-constraint model was developed to encapsulate these factors in greenhouse environments. Subsequently, the model optimization incorporated multi-parameter coding of decision variables, a fitness function, and an annealing dynamic penalty factor. Validation conducted at Yangling Agricultural Demonstration Park revealed that the application of multi- objective adaptive annealing genetic algorithms (schemes 1 and 2) significantly outperformed the single-objective genetic algorithm (scheme 3) and the traditional genetic algorithm (scheme 4). Specifically, the improvements included a reduction in average temperature rise by 2.64 degrees C and 5.29 degrees C for schemes 1 and 2, respectively, equating to 20 % and 34 % decreases. Additionally, average humidification reductions of 2.39 % and 3.9 % were observed, alongside decreases in the total lengths of heating and humidification pipes by up to 2.99 km and 0.443 km, respectively, with a maximum reduction of 14 % in heating pipes. The integration of an annealing dynamic penalty factor enhanced the adaptive climbing ability of schemes 1 and 2, improving static stability and robustness. Furthermore, the number of iterations required to achieve convergence was reduced by approximately 170-240 times compared to schemes 3 and 4. This reduction in iterations

关键词： Greenhouse Environmental factors multi-objective programming Genetic algorithm Adaptive optimization

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multi-objective Modeling and Planning for the Selection of Chemical Reaction Routines

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Energy Procedia 2012年 14卷 649-654页

作者： Xiao-Ping Jia Shu-Wen Wan Yu Qian School of Environment and Safety Engineering Qingdao University Science & Technology Qingdao 266042 Institute for Petroleum and Chemical Industry Qingdao University Science & Technology Qingdao 266042 School of Chemical Engineering South China University of Technology Gangzhou 510640

It is of great significance to generate a promising routine by the consideration of economic, environmental, safety, and energy consumption aspects simultaneously in the early stages of chemical process design. In order to achieve this goal, a method based on multi-objective programming is proposed. The detailed models are presented. Mixed integer linear programming (MILP) approach is used to solve this multi-objective problem. The method is demonstrated in the case study of polyvinylchloride (PVC) process design. Lots of reaction routes are selected by using multi-objective programming. The results showed that ethane-propane steam cracking-balanced oxychlorination of ethylene-vinyl chloride suspension polymerization process is a promising route. It not only results in chemical process that is safer and environmental conscious but also leads to reduced energy consumption and costs.

关键词： Chemical Reaction Routine multi-objective programming Model PVC Process Chemical Industry

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Mathematical Model of Financial Investment Risk

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Journal of Mathematical Finance 2018年 8卷 127-136页

作者： Deyu Yin Rizhao Polytechnic Rizhao China

This paper establishes the income and risk model in financial investment based on multi-objective programming theory, aiming to analyze the relationship between risk and return in financial investment and discuss the relationship between the risk the investor shall bear and decentralization degree of investment project. MATLAB software is used to analyze the investor’s optimized return under fixed risk level and the minimized risk with defined benefit. In addition, it chooses the optimal portfolio under such risk level with respect to the bearing capacity of different risks. This paper performs sensitivity analysis of risk in income model using LINGO software, and puts forward the optimal portfolio for the investor without special preference. Calculations show that the model established is satisfactory in determining the optimal portfolio.

关键词： multi-objective programming Risk Measurement Income Level Sensitivity Analysis Optimal Portfolio

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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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Optimisation of multi-level logistics network for agricultural products under community group buying model

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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS 2023年第1期10卷

作者： Li, Chenxing Shi, Xianliang Beijing Jiaotong Univ Sch Econ & Management Beijing 100044 Peoples R China

This paper introduces a rapidly developing new online retail model, community group buying, and proposes a three-level agricultural logistics network optimisation model. Under the community group buysing model, it is necessary to use different types of vehicles for transportation of agricultural products with different temperature control requirements. The study establishes a multi-objective mixed integer programming model with the objectives of shortest transportation time and minimum total cost, taking into account the freshness penalty cost incurred during transport. The multi-objective problem is transformed into a single objective by normalisation and weighting methods. According to the calculation for the actual case, this paper solves the problems of community group buying grid warehouse location, multiple vehicles use strategy, loading capacity, transportation path optimisation and self-pickup station demand allocation. In addition, through sensitivity analysis, the management insights of community group buying enterprises are obtained: (1) The community group buying enterprises should use brokers of the community group buying model to enhance customer stickiness;(2) The enterprises should focus on developing business in less developed regions;(3) The enterprises need to adjust the proportion of time efficiency and logistics costs according to the real situation.

关键词： Community group buying agricultural logistics network multi-objective programming multi-commodity and multi-vehicle freshness penalty

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On solving matrix games with payoffs presented by dual hesitant fuzzy sets

ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS

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ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS 2021年第46期 34-52页

作者： Song, Yang Yang, Zhihui East China Univ Technol Sch Sci Nanchang 330013 Jiangxi Peoples R China

The solving methodology of matrix games, with payoffs presented by dual hesitant fuzzy sets, is investigated in this paper. Firstly, the notion of dual hesitant fuzzy sets is given. Next, the concept of solutions for the matrix games is defined on the basis of dual hesitant fuzzy sets, which thereby prove the solutions of the matrix games can be obtained through solving a pair of linear programming models. Lastly, a numerical example is given to illustrate the effectiveness of the proposed method.

关键词： matrix games dual hesitant fuzzy set multi-objective programming linear programming

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Minimum Weighted Minkowski Distance Power Models for Intuitionistic Fuzzy Madm with Incomplete Weight Information

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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 2017年第5期16卷 1387-1408页

作者： Li, Deng-Feng Wan, Shu-Ping Fuzhou Univ Sch Management 2 Xueyuan Rd Fuzhou 350108 Fujian Peoples R China Jiangxi Univ Finance & Econ Coll Informat Technol Nanchang 330013 Jiangxi Peoples R China

Owing to more vague concepts frequently represented in decision data, intuitionistic fuzzy sets (IFSs) are more fliexibly used to model real-life decision situations. At the same time, with ever increasing complexity in many decision situations in reality, there are often some challenges for a decision maker to provide complete attribute preference information, i.e., the weights may be completely unknown or partially known. The aim of this paper is to develop an effiective method for solving intuitionistic fuzzy multi-attribute decision making (MADM) problems with incomplete weight information. In this method, ratings of alternatives on attributes are expressed with IFSs. The multi-objective programming models are established to calculate unknown weights by using weight information partially known a priori. The derived minimum weighted Minkowski distance power models are used to determine the unknown weights and to generate the ranking order of the alternatives simultaneously. The proposed models are easily extended to intuitionistic fuzzy MADM problems with different weight information structures. An example of the supplier selection problem is examined to demonstrate applicability and flexibility of the proposed models and method.

关键词： Intuitionistic fuzzy set multi-attribute decision making uncertainty modeling multi-objective programming distance measure

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A Decision Support Methodology for Locating Bank Branches: A Case Study in Turkey

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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 2017年第1期16卷 59-86页

作者： Basar, Ayfer Kabak, Ozgur Topcu, Y. Ilker Istanbul Tech Univ Dept Ind Engn Macka Campus TR-34357 Istanbul Turkey

This paper presents an integrated decision support methodology for locating bank branches. The methodology is composed of two stages: problem structuring, and modeling. In the first stage, initially, a number of criteria are selected with the help of a detailed literature review and expert opinions. Subsequently, importance weights of these criteria for different types of bank branches are identified based on judgments of experts for pairwise comparison questions. At the modeling stage, considering the characteristics and importance of the criteria, a novel multiobjective mathematical programming model is proposed to find specific locations of bank branches. The proposed methodology is applied in locating branches of a Turkish bank. In order to test the validity of the results and robustness, a sensitivity analysis is conducted and the solutions are found to be robust.

关键词： Decision-making problem structuring bank branches location multi-objective programming real life application

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