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Approach for uncertain multi-objective programming problems with correlated objective functions under CEV criterion 认领 引用 被引量：2
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作者 MENG Xiangfei WANG Ying +2 位作者 LI Chao WANG Xiaoyang LYU Maolong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2018年第6期1197-1208,共12页
An uncertain multi-objective programming problem is a special type of mathematical multi-objective programming involving uncertain variables. This type of problem is important because there are several uncertain varia... An uncertain multi-objective programming problem is a special type of mathematical multi-objective programming involving uncertain variables. This type of problem is important because there are several uncertain variables in real-world problems.Therefore, research on the uncertain multi-objective programming problem is highly relevant, particularly those problems whose objective functions are correlated. In this paper, an approach that solves an uncertain multi-objective programming problem under the expected-variance value criterion is proposed. First, we define the basic framework of the approach and review concepts such as a Pareto efficient solution and expected-variance value criterion using an order relation between various uncertain variables.Second, the uncertain multi-objective problem is converted into an uncertain single-objective programming problem via a linear weighted method or ideal point method. Then the problem is transformed into a deterministic single objective programming problem under the expected-variance value criterion. Third, four lemmas and two theorems are proved to illustrate that the optimal solution of the deterministic single-objective programming problem is an efficient solution to the original uncertainty problem. Finally, two numerical examples are presented to validate the effectiveness of the proposed approach. 展开更多
关键词 uncertainty theory uncertain multi-objective programming expected-variance value criterion
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MULTI-OBJECTIVE PROGRAMMING FOR AIRPORT GATE REASSIGNMENT 认领 引用 被引量：1
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作者 李军会 陈欣 朱金福 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2013年第2期209-215,共7页
To improve the efficiency of gate reassignment and optimize the plan of gate reassignment,the concept of disruption management is introduced,and a multi-objective programming model for airport gate reassignment is pro... To improve the efficiency of gate reassignment and optimize the plan of gate reassignment,the concept of disruption management is introduced,and a multi-objective programming model for airport gate reassignment is proposed.Considering the interests of passengers and the airport,the model minimizes the total flight delay,the total passengers′walking distance and the number of flights reassigned to other gates different from the planned ones.According to the characteristics of the gate reassignment,the model is simplified.As the multi-objective programming model is hard to reach the optimal solutions simultaneously,a threshold of satisfactory solutions of the model is set.Then a simulated annealing algorithm is designed for the model.Case studies show that the model decreases the total flight delay to the satisfactory solutions,and minimizes the total passengers′walking distance.The least change of planned assignment is also reached.The results achieve the goals of disruption management.Therefore,the model is verified to be effective. 展开更多
关键词 gate assignment multi-objective programming simulated annealing algorithm disruption management
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VISUAL SIMULATION OF COLD ROLL-FORMING BASED ON OBJECT ORIENTED PROGRAMMING 认领 引用 被引量：1
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作者 ZhangLele TanNanlin +1 位作者 ZhangHuadi LiuCai 《Chinese Journal of Mechanical Engineering》 EI CAS 2004年第1期70-72,共3页
To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented progra... To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented programming. Combined with the computer graphicstechnology, the visual simulation of cold roll-forming is completed and the system is established.By analyzing common channel steel, the process is shown and explained including theory method, modeland result display. So the simulation system is already a kind of mature and effective tool toanalyze the process of cold roll forming. 展开更多
关键词 Object-oriented programming Visual simulation Cold roll-forming Splinefinite strip method
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Optimality and Duality on Fractional Multi-objective Programming Under Semilocal E-convexity 认领 引用 被引量：1
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作者 HU Qing-jie XIA O Yun-hai CHEN Nei-ping 《Chinese Quarterly Journal of Mathematics》 2009年第2期200-210,共11页
In this paper, some necessary and sufficient optimality conditions are obtained for a fractional multiple objective programming involving semilocal E-convex and related functions. Also, some dual results are establish... In this paper, some necessary and sufficient optimality conditions are obtained for a fractional multiple objective programming involving semilocal E-convex and related functions. Also, some dual results are established under this kind of generalized convex functions. Our results generalize the ones obtained by Preda[J Math Anal Appl, 288（2003） 365-382]. 展开更多
关键词 semilocal E-convex functions fractional multiple objective programming optimality conditions duality
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OBJECT-ORIENTED FINITE ELEMENT ANALYSIS AND PROGRAMMING IN VC++ 认领 引用 被引量：1
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作者 MA Yong-qi +1 位作者 FENG Wei 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2002年第12期1437-1443,共7页
The design of finite element analysis program using object-oriented programming (OOP) techniques is presented. The objects, classes and the subclasses used in the programming are explained. The system of classes libra... The design of finite element analysis program using object-oriented programming (OOP) techniques is presented. The objects, classes and the subclasses used in the programming are explained. The system of classes library of finite element analysis program and Windows-type Graphical User Interfaces by VC + + and its MFC are developed. The reliability, reusability and extensibility of program are enhanced. It is a reference to develop the large-scale, versatile and powerful systems of object-oriented finite element software. 展开更多
关键词 object-oriented programming finite element method program design VC+ +
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An object oriented multi-robotic graphic simulation environment for programming the welding tasks 认领 引用
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作者 崔泽 赵杰 +1 位作者 崔岩 蔡鹤皋 《China Welding》 EI CAS 2002年第1期77-83,共7页
An object oriented multi robotic graphic simulation environment is described in this paper. Object oriented programming is used to model the physical objects of the robotic workcell in the form of software objects or ... An object oriented multi robotic graphic simulation environment is described in this paper. Object oriented programming is used to model the physical objects of the robotic workcell in the form of software objects or classes. The virtual objects are defined to provide the user with a user friendly interface including realistic graphic simulation and clarify the software architecture. The programming method of associating the task object with active object effectively increases the software reusability, maintainability and modifiability. Task level programming is also demonstrated through a multi robot welding task that allows the user to concentrate on the most important aspects of the tasks. The multi thread programming technique is used to simulate the interaction of multiple tasks. Finally, a virtual test is carried out in the graphic simulation environment to observe design and program errors and fix them before downloading the software to the real workcell. 展开更多
关键词 object oriented programming task level programming welding task 3D graphic simulation expert system
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A Primal-Dual Infeasible-Interior-Point Algorithm for Multiple Objective Linear Programming Problems 认领 引用
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作者 HUANG Hui FEI Pu-sheng YUAN Yuan 《Wuhan University Journal of Natural Sciences》 EI CAS 2005年第2期351-354,共4页
A primal-dual infeasible interior point algorithm for multiple objective linear programming(MOLP)problems was presented.In contrast to the current MOLP algorithm.moving through the interior of polytope but not confini... A primal-dual infeasible interior point algorithm for multiple objective linear programming(MOLP)problems was presented.In contrast to the current MOLP algorithm.moving through the interior of polytope but not confining the iterates within the feasible region in our proposed algorithm result in a solution approach that is quite different and less sensitive to problem size,so providing the potential to dramatically improve the practical computation effectiveness. 展开更多
关键词 multiple objective linear programming primal dual infeasible interior point algorithm
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Solving Multi-Objective Linear Programming Problem by Statistical Averaging Method with the Help of Fuzzy Programming Method 认领 引用
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作者 Samsun Nahar Marin Akter Md. Abdul Alim 《American Journal of Operations Research》 2023年第2期19-32,共14页
A multi-objective linear programming problem is made from fuzzy linear programming problem. It is due the fact that it is used fuzzy programming method during the solution. The Multi objective linear programming probl... A multi-objective linear programming problem is made from fuzzy linear programming problem. It is due the fact that it is used fuzzy programming method during the solution. The Multi objective linear programming problem can be converted into the single objective function by various methods as Chandra Sen’s method, weighted sum method, ranking function method, statistical averaging method. In this paper, Chandra Sen’s method and statistical averaging method both are used here for making single objective function from multi-objective function. Two multi-objective programming problems are solved to verify the result. One is numerical example and the other is real life example. Then the problems are solved by ordinary simplex method and fuzzy programming method. It can be seen that fuzzy programming method gives better optimal values than the ordinary simplex method. 展开更多
关键词 Fuzzy Programming Method Fuzzy Linear Programming Problem Multi-Objective Linear Programming Problem Statistical Averaging Method New Statistical Averaging Method
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Solving Fuzzy Multi-Objective Linear Programming Problem by Applying Statistical Method 认领 引用 被引量：1
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作者 Samsun Nahar Marin Akter Md. Abdul Alim 《American Journal of Operations Research》 2022年第6期293-309,共17页
In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have been applied to form a single... In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have been applied to form a single objective function from the fuzzy multi-objective linear programming problems. At first, a numerical example of solving fuzzy multi-objective linear programming problem has been provided to validate the maximum risk reduction by the proposed method. The proposed method has been applied to assess the risk of damage due to natural calamities like flood, cyclone, sidor, and storms at the coastal areas in Bangladesh. The proposed method of solving the fuzzy multi-objective linear programming problems by the statistical method has been compared with the Chandra Sen’s method. The numerical results show that the proposed method maximizes the risk reduction capacity better than Chandra Sen’s method. 展开更多
关键词 Fuzzy Multi-Objective Linear Programming Problem Fuzzy Linear Programming Problem Chandra Sen’s Method Statistical Averaging Method New Statistical Averaging Method
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Randomized Objective Function Linear Programming in Risk Management 认领 引用 被引量：1
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作者 Dennis Ridley Felipe Llaugel +1 位作者 Inger Daniels Abdullah Khan 《Journal of Applied Mathematics and Physics》 2021年第3期391-402,共12页
The traditional linear programming model is deterministic. The way that uncertainty is handled is to compute the range of optimality. After the optimal solution is obtained, typically by the simplex method, one consid... The traditional linear programming model is deterministic. The way that uncertainty is handled is to compute the range of optimality. After the optimal solution is obtained, typically by the simplex method, one considers the effect of varying each objective function coefficient, one at a time. This yields the range of optimality within which the decision variables remain constant. This sensitivity analysis is useful for helping the analyst get a sense for the problem. However, it is unrealistic because objective function coefficients tend not to stand still. They are typically profit contributions from products sold and are subject to randomly varying selling prices. In this paper, a realistic linear program is created for simultaneously randomizing the coefficients from any probability distribution. Furthermore, we present a novel approach for designing a copula of random objective function coefficients according to a specified rank correlation. The corresponding distribution of objective function values is created. This distribution is examined directly for central tendency, spread, skewness and extreme values for the purpose of risk analysis. This enables risk analysis and business analytics, emerging topics in education and preparation for the knowledge economy. 展开更多
关键词 Linear Programming Random Objective Function Profit Distribution Risk Monte Carlo Simulation
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New Approach to Solve Cubic Objective Function Programming Problem 认领 引用
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作者 Media A. Omer Nejmaddin A. Sulaiman 《American Journal of Operations Research》 2022年第3期83-93,共11页
In this paper, a cubic objective programming problem (COPP) is defined. Introduced a new modification to solve a cubic objective programming problem. Suggested an algorithm for its solution. Also reported the algorith... In this paper, a cubic objective programming problem (COPP) is defined. Introduced a new modification to solve a cubic objective programming problem. Suggested an algorithm for its solution. Also reported the algorithm of the usual simplex method. Application talks about how the developed algorithm can be used to unravel non-linear. The proposed technique, modification simplex technique, can be used with the constructed numerical examples an illustrative numerical problems are given to demonstrate the algorithms. 展开更多
关键词 New Approach Cubic Objective Programming Problem Simplex Method
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Diagnosing Student Learning Problems in Object Oriented Programming 认领 引用
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作者 Hana Al-Nuaim Arwa Allinjawi +1 位作者 Paul Krause Lilian Tang 《Computer Technology and Application》 2011年第11期858-865,共8页
Students often face difficulties while taking basic programming courses due to several factors. In response, research has presented subjective assessments for diagnosing learning problems to improve the teaching of pr... Students often face difficulties while taking basic programming courses due to several factors. In response, research has presented subjective assessments for diagnosing learning problems to improve the teaching of programming in higher education. In this paper, the authors propose an Object Oriented conceptual map model and organize this approach into three levels： constructing a Concept Effect Propagation Table, constructing Test Item-Concept Relationships and diagnosing Student Learning Problems with Matrix Composition. The authors＇ work is a modification of the approaches of Chert and Bai as well as Chu et al., as the authors use statistical methods, rather than fuzzy sets, for the authors＇ analysis. This paper includes a statistical summary, which has been tested on a small sample of students in King Abdulaziz University, Jeddah, Saudi Arabia, illustrating the learning problems in an Object Oriented course. The experimental results have demonstrated that this approach might aid learning and teaching in an effective way. 展开更多
关键词 Higher education programming learning difficulties object oriented programming conceptual model.
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An Alternative Approach to the Solution of Multi-Objective Geometric Programming Problems 认领 引用
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作者 Ersoy Oz Nuran Guzel Selcuk Alp 《Open Journal of Optimization》 2017年第1期11-25,共15页
The aim of this study is to present an alternative approach for solving the multi-objective posynomial geometric programming problems. The proposed approach minimizes the weighted objective function comes from multi-o... The aim of this study is to present an alternative approach for solving the multi-objective posynomial geometric programming problems. The proposed approach minimizes the weighted objective function comes from multi-objective geometric programming problem subject to constraints which constructed by using Kuhn-Tucker Conditions. A new nonlinear problem formed by this approach is solved iteratively. The solution of this approach gives the Pareto optimal solution for the multi-objective posynomial geometric programming problem. To demonstrate the performance of this approach, a problem which was solved with a weighted mean method by Ojha and Biswal (2010) is used. The comparison of solutions between two methods shows that similar results are obtained. In this manner, the proposed approach can be used as an alternative of weighted mean method. 展开更多
关键词 Multi Objective Geometric Programming Kuhn-Tucker Conditions Taylor Series Expansion Numerical Method Weighted Mean Method
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考虑AI大模型的多维网络安全度量及主动防御策略 认领 引用 被引量：2
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作者 徐胜超 蒋大锐 吕峻闽 《计算机技术与发展》 2026年第3期215-220,F0003,共6页
利用单一维度表征网络安全状态的参量进行度量时,参量的畸变会引起度量误差,导致生成的防御策略难以保障攻击场景下网络的安全。为此,论文引入AI大模型对多维网络安全进行度量,并生成主动防御策略。从主机状态和网络状态两个角度出发,在... 利用单一维度表征网络安全状态的参量进行度量时,参量的畸变会引起度量误差,导致生成的防御策略难以保障攻击场景下网络的安全。为此,论文引入AI大模型对多维网络安全进行度量,并生成主动防御策略。从主机状态和网络状态两个角度出发,在7个维度上对表征网络安全状态的参量进行量化,并拟合权重输出网络安全度量结果,避免了单一维度参量畸变引起的度量误差。利用整数线性规划的方式对网络切片进行部署时,将安全度量值最大值化作为目标函数,在AI大模型下更新网络切片迁移结果,直至目标函数达到收敛,输出主动防御策略。仿真结果中,设计技术在实现对网络安全状态准确度量的基础上,生成的主动防御策略能够有效降低攻击的成功率,攻击类型为数据泄露时,该方法的主动防御策略生成耗时仅为21 ms,节点数量为30个时,该方法的攻击成功率为2.3%,表明该方法防御策略效果好。 展开更多
关键词 AI大模型 多维网络安全度量 主动防御策略 整数线性规划 目标函数 网络切片迁移
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带二次装夹约束的可重构柔性作业车间调度优化研究 认领 引用 被引量：1
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作者 杨志杰 梁穆熙 +3 位作者 李益兵 汪开普 梅立文 郭顺生 《控制与决策》 EI CSCD 北大核心 2026年第1期67-80,共14页
可重构柔性作业车间凭借其动态适应能力能够快速响应市场变化,然而在加工部分具备复杂曲面的工件时,难以一次完成加工,需拆卸工件后进行二次装夹,且依赖于人工操作,而工人资源的约束会限制该操作的并行性进而降低生产系统的柔性.鉴于此... 可重构柔性作业车间凭借其动态适应能力能够快速响应市场变化,然而在加工部分具备复杂曲面的工件时,难以一次完成加工,需拆卸工件后进行二次装夹,且依赖于人工操作,而工人资源的约束会限制该操作的并行性进而降低生产系统的柔性.鉴于此,以最小化最大完工时间和工人数量为目标,建立考虑二次装夹的可重构柔性作业车间调度问题的混合整数线性规划模型,设计一种改进的多目标遗传算法.为处理复杂约束,采用三向量编码结构;为加速种群收敛,设计一种混合贪婪初始化策略;为提高算法的局部探索能力,设计3种基于关键操作的邻域搜索策略.通过15个标准算例验证所提出算子的有效性,并与4种算法对比验证所提出算法的优越性.最后将所提出模型和算法应用到汽车差速器制造过程,相较于传统调度方案,所得方案将最大完工时间缩短56%. 展开更多
关键词 二次装夹 工人资源约束 可重构柔性作业车间调度 整数线性规划 多目标遗传算法
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交直流柔性互联配电网智能软开关与储能多目标联合规划方法 认领 引用 被引量：1
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作者 安娟 黄存强 +2 位作者 李俊贤 刘兴文 王宇思 《电气传动》 2026年第2期68-78,共11页
大规模分布式新能源并网的间歇性和不确定性对电力系统的稳定运行带来巨大挑战。智能软开关(SOP)和储能是空间-时间维度上消纳分布式新能源的有效途径,对于提升配电网分布式新能源承载力具有重要作用。为此,综合考虑SOP和储能的灵活运... 大规模分布式新能源并网的间歇性和不确定性对电力系统的稳定运行带来巨大挑战。智能软开关(SOP)和储能是空间-时间维度上消纳分布式新能源的有效途径,对于提升配电网分布式新能源承载力具有重要作用。为此,综合考虑SOP和储能的灵活运行特性,提出了面向新能源承载力提升的SOP、储能与DG双层多目标规划模型。其中,上层模型以配电网全寿命周期总收益、新能源承载能力、系统供电能力、电能质量作为优化目标进行储能与DG的选址定容,下层以配电网日总损耗最小为目标优化系统运行状态。将改进的多目标粒子群算法与混合整数二阶锥规划算法相结合对所提模型进行求解,在改进的IEEE 43节点交直流柔性互联配电网算例中验证了联合规划方法的有效性,并分析不同场景下的最优方案。 展开更多
关键词 分布式电源 智能软开关 交直流配电网 双层规划 多目标优化
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An Approach to Detect Structural Development Defects in Object-Oriented Programs 认领 引用
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作者 Maxime Seraphin Gnagne Mouhamadou Dosso +1 位作者 Mamadou Diarra Souleymane Oumtanaga 《Open Journal of Applied Sciences》 2024年第2期494-510,共17页
Structural development defects essentially refer to code structure that violates object-oriented design principles. They make program maintenance challenging and deteriorate software quality over time. Various detecti... Structural development defects essentially refer to code structure that violates object-oriented design principles. They make program maintenance challenging and deteriorate software quality over time. Various detection approaches, ranging from traditional heuristic algorithms to machine learning methods, are used to identify these defects. Ensemble learning methods have strengthened the detection of these defects. However, existing approaches do not simultaneously exploit the capabilities of extracting relevant features from pre-trained models and the performance of neural networks for the classification task. Therefore, our goal has been to design a model that combines a pre-trained model to extract relevant features from code excerpts through transfer learning and a bagging method with a base estimator, a dense neural network, for defect classification. To achieve this, we composed multiple samples of the same size with replacements from the imbalanced dataset MLCQ1. For all the samples, we used the CodeT5-small variant to extract features and trained a bagging method with the neural network Roberta Classification Head to classify defects based on these features. We then compared this model to RandomForest, one of the ensemble methods that yields good results. Our experiments showed that the number of base estimators to use for bagging depends on the defect to be detected. Next, we observed that it was not necessary to use a data balancing technique with our model when the imbalance rate was 23%. Finally, for blob detection, RandomForest had a median MCC value of 0.36 compared to 0.12 for our method. However, our method was predominant in Long Method detection with a median MCC value of 0.53 compared to 0.42 for RandomForest. These results suggest that the performance of ensemble methods in detecting structural development defects is dependent on specific defects. 展开更多
关键词 Object-Oriented Programming Structural Development Defect Detection Software Maintenance Pre-Trained Models Features Extraction Bagging Neural Network
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基于基尼系数和多目标规划的危险废物处理能力分布优化 认领 引用
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作者 王兆龙 陶润鑫 +5 位作者 刘梦园 胡琰琰 郭英朋 郑洋 孙峙 高文芳 《化工进展》 EI CAS CSCD 北大核心 2026年第2期1170-1180,共11页
随着我国制造业的快速发展,工业危险废物产生量持续攀升,其处置利用压力也日益增长。然而,由于不同地区危险废物产生情况存在动态差异,危险废物经营许可证审批的滞后性导致区域危险废物处理能力相对产生单位处理需求失衡。本文针对危险... 随着我国制造业的快速发展,工业危险废物产生量持续攀升,其处置利用压力也日益增长。然而,由于不同地区危险废物产生情况存在动态差异,危险废物经营许可证审批的滞后性导致区域危险废物处理能力相对产生单位处理需求失衡。本文针对危险废物处理能力空间分布不均衡问题,以江苏省32种危险废物为研究对象,构建了基于基尼系数法和多目标规划的危险废物处理能力分布均衡性优化模型,探讨了在兼顾经济效益、环境风险和社会公平目标下危险废物处理能力空间分布的优化路径。研究结果显示,江苏省12种危险废物处理能力相对产生单位数量分布的基尼系数大于0.4,说明危险废物处理能力分布均衡性较差。运用多目标规划模型进行优化后,8种危险废物处理能力分布的基尼系数有所下降,权重系数差异是影响优化效果的主要因素之一。本文为有效解决危险废物处理能力过剩区域与处理能力不足区域存在的结构性矛盾,以及完善危险废物经营许可证核准管理提供了科学方法支撑。 展开更多
关键词 危险废物 处理能力 基尼系数 多目标规划 优化分配
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大模型背景下面向对象程序设计课程教学探索 认领 引用 被引量：1
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作者 钱诚 徐则中 游庆祥 《科教文汇》 2026年第5期114-118,共5页
针对大语言模型给面向对象程序设计课程教学带来的挑战,本文将大语言模型视作学生课程学习的有效辅助工具,并据此在课程目标、课程内容、课程考核三方面进行重构。课程目标聚焦面向对象建模、软件设计及大模型辅助开发调试的能力培养。... 针对大语言模型给面向对象程序设计课程教学带来的挑战,本文将大语言模型视作学生课程学习的有效辅助工具,并据此在课程目标、课程内容、课程考核三方面进行重构。课程目标聚焦面向对象建模、软件设计及大模型辅助开发调试的能力培养。课程内容包含“概念—设计模式—工程实践”三阶段分层案例库,并基于学生能力评估匹配实践性学习任务,允许学生按需调用大模型辅助编码。课程考核按案例完成阶段设置差异化评分系数,以激励学生的进阶学习。通过教学实践探索,着力实现从“回避大模型”到“融入大模型”的教学理念转变,以满足学生的个性化学习需求,也为面向对象程序设计课程在大模型背景下的教学改革提供思路。 展开更多
关键词 大模型 面向对象程序设计 能力分级 案例库
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“双碳”目标下的安徽省土地利用空间优化模拟 认领 引用
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作者 赵明松 吴彤 +3 位作者 盛乐 陈信江 张道宇 芦园园 《环境科学》 EI CAS CSCD 北大核心 2026年第5期3099-3113,共15页
为探讨合理的土地利用空间优化策略,促进区域土地利用向“低碳增汇”方向发展.以安徽省为例,基于1980~2020年5期土地利用数据,采用土地利用动态度和转移矩阵分析了区域土地利用变化特征.通过耦合灰色多目标规划(GMOP)模型和PLUS模型,构... 为探讨合理的土地利用空间优化策略,促进区域土地利用向“低碳增汇”方向发展.以安徽省为例,基于1980~2020年5期土地利用数据,采用土地利用动态度和转移矩阵分析了区域土地利用变化特征.通过耦合灰色多目标规划(GMOP)模型和PLUS模型,构建了自然发展(ND)、经济发展(ED)、生态保护(EP)、高碳储发展(HCD)和可持续发展(SD)这5种情景,预测了2030年土地利用格局.结果表明:①1980~2020年间,安徽省水田、旱地和林地面积分别减少3012.15、1674.4和362.93 km2,建设用地增加4543.94 km2.2010~2020年变化最为剧烈,综合动态度为11.11%.1980~2020年,主要转移特征是水田和旱地转入建设用地.②ED情景下建设用地扩张至17952.99 km2(占比增加2.14%),经济效益占比89.85%;EP情景下林地面积占比增加2.29%,生态效益最高(3572.72亿元);HCD情景下水田和林地面积占比增加了2.34%和2.29%,碳储效益最高(349.75亿元);SD情景实现经济(85240.62亿元)、生态(3453.38亿元)和碳储(340.25亿元)协同优化,各类土地利用发展均衡.③空间布局优化上,ND和ED情景下建设用地扩张明显,集中于合肥-六安交界区,主要是水田和旱地的转入;EP、HCD和SD情景下林地增加显著,分布于皖南山区和大别山区,主要是水田和旱地的转入;旱地转变为水田主要沿淮河、长江分布.研究结果可为安徽省国土空间优化和“双碳”目标实现提供科学依据. 展开更多
关键词 土地利用 灰色多目标规划模型 多情景模拟 PLUS模型 碳储量 安徽省
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