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 共查询到20条相似文献,搜索用时 78 毫秒
1.
FOURIERPSEUDOSPECTRAL-FINITEDIFFERENCEMETHODFORTWO-DIMENSIONALVORICITYEQUATION¥GUOBENYU;XIONGYUESHAN(DepartmentofMathematics,...  相似文献   

2.
SUBJECTIVERADE-OFFRATEMETHODOFMULTIOBJECTIVEDECISION-MAKING¥WangXianjia(王先甲)(WuhanUniversityofHydraulicandElectricEngineering...  相似文献   

3.
李显方 《计算数学》1996,18(2):183-188
加权最小绝对偏差法的搜索解法李显方(中南工业大学)SEARCHMETHODOFWEIGHTEDLEASTABSOLUTEDEVIATIONSMETHOD¥LiXian-fang(CentralSouthUniversityofTechnology,C...  相似文献   

4.
THEMAXIMUMANDMINIMUMSOLUTIONSOFNONLINEAR INTEGRODIFFERENTIALEQUATIONSOFMIXEDTYPEWITHIMPULSESINBANACHSPACESLiuWeian(刘伟安)(Wuhan...  相似文献   

5.
TWO-DIMENSIONALSINGULARINTEGRALEQUATIONSOFTHEHYPERCOMPLEXFUNCTIONS(刘春根)¥LiuChangen(Dept.ofMathNankaiUniv.,Tianjin50071,China....  相似文献   

6.
THELIMITCIRCLECRITERIONOFTHESECONDORDERNONHOMOGENEOUSFUNCTIONALDIFFERENTIALEQUATIONS¥XuZhiting(徐志庭)&XingHongyan(邢鸿雁)(Guangdon...  相似文献   

7.
THEGENERALSCHEMEFORHIGHER-ORDERDECOMPOSITIONSOFZERO-CURVATUREEQUATIONSASSOCIATEDWITH■(2)¥ZENGYUNBO(曾云波)(DeportmentofAppliedMa...  相似文献   

8.
THECONVERGENCEOFGLOWINSKI'SALGORITHMFORELLIPTICPROBLEMSCHUDELIN(储德林);HUXIANCHENG(胡显承)(DepartmentofAppliedMathematics,Tsing-Hu...  相似文献   

9.
THECOMPLEXOSCILLATIONOFNON-HOMOGENEOUSLINEARDIFFERENTIALEQUATIONSWITHINFINITEORDERENTIRECOEFFICIENTS¥LiXianyu(李贤瑜)(JiangxiNor...  相似文献   

10.
施锡泉 《计算数学》1995,17(1):59-64
高维有限元空间中的谱基施锡泉(大连理工大学数学科学研究所)ACONSTRUCTIVEMETHODOFHIGH-DIMENSIONALHIERARCHICALBASIS¥ShiXi-quan(Inst.ofMath.,DalianUniversityo...  相似文献   

11.
利用极大熵方法将带多个非线性不等式约束和多个非线性等式约束的多目标规划问题变为两个非线性不等式约束的单个可微的目标函数优化问题,并结合区间分析知识给出一种新的解决多目标规划问题的区间方法.  相似文献   

12.
本文给出了求解多目标规划的一种连续同伦方法 .首先 ,运用光滑熵函数将多目标多约束的问题化为单目标单约束的问题 ,然后构造了求解单目标问题的同伦方法 ,并证明了其大范围收敛性 .  相似文献   

13.
曾韧英 《数学杂志》1998,18(3):259-263
本文讨论定义于Banach空间的多目标数学规划,得到一些ε-最优解和(弱)有效解的必要条件,充分条件和必要充分条件。  相似文献   

14.
An interval-parameter fuzzy linear programming method (IFMOLP) is proposed in this study for multiple objective decision-making under uncertainty. As a hybrid of interval-parameter and fuzzy methodologies, the IFMOLP incorporates interval-parameter linear programming and fuzzy multiobjective programming approaches to form an integrated optimization system. The method inherits advantages of interval-parameter programming, and allows uncertainties and decision-makers’ aspirations to be effectively communicated into its programming processes and resulting solutions. Membership functions for both objectives and constraints are formulated to reflect uncertainties in different system components and their interrelationships. An interactive solution procedure has been developed based on solution approaches of the interval-parameter and fuzzy programming techniques, plus necessary measures for handling the multiobjective feature. A didactic example is provided in the paper to illustrate the detailed solution process. Possibilities of further improvements by seeking Pareto optimum and incorporating flexible preference within constraints are also discussed.  相似文献   

15.
A multiobjective dynamic optimization model is described for the optimal utilization of mineral resources. The special forms of the objective functions, state-transition relations, and additional constraints satisfy the conditions for using a special dynamic multiobjective programming method. A case study is also outlined.  相似文献   

16.
In this paper, a multiobjective quadratic programming problem having fuzzy random coefficients matrix in the objective and constraints and the decision vector are fuzzy pseudorandom variables is considered. First, we show that the efficient solutions of fuzzy quadratic multiobjective programming problems are resolved into series-optimal-solutions of relative scalar fuzzy quadratic programming. Some theorems are proved to find an optimal solution of the relative scalar quadratic multiobjective programming with fuzzy coefficients, having decision vectors as fuzzy variables. At the end, numerical examples are illustrated in the support of the obtained results.  相似文献   

17.
In this paper a mathematical problem with linear flexible constraints is considered. In order to solve the problem an approach is proposed based on multiobjective linear programming. Indeed, allowing violations for the constraints, and using multiobjective linear programming to minimize these violations, a subset of solution set which has less violations, namely efficiently feasible set, is obtained. Then, the corresponding objective function is optimized over efficiently feasible set in order to obtain an optimal solution. An application of the proposed approach in pattern classification is introduced.  相似文献   

18.
In this paper, we are concerned with the nondifferentiable multiobjective programming problem with inequality constraints. We introduce four new classes of generalized d-type-I functions. By utilizing the new concepts, Antczak type Karush-Kuhn-Tucker sufficient optimality conditions, Mond-Weir type and general Mond-Weir type duality results are obtained for non-differentiable and multiobjective programming.  相似文献   

19.
In this work,we established a converse duality theorem for higher-order Mond-Weir type multiobjective programming involving cones.This flls some gap in recently work of Kim et al.[Kim D S,Kang H S,Lee Y J,et al.Higher order duality in multiobjective programming with cone constraints.Optimization,2010,59:29–43].  相似文献   

20.
The aim of this paper is to deal with a multiobjective linear programming problem with fuzzy random coefficients. Some crisp equivalent models are presented and a traditional algorithm based on an interactive fuzzy satisfying method is proposed to obtain the decision maker’s satisfying solution. In addition, the technique of fuzzy random simulation is adopted to handle general fuzzy random objective functions and fuzzy random constraints which are usually hard to be converted into their crisp equivalents. Furthermore, combined with the techniques of fuzzy random simulation, a genetic algorithm using the compromise approach is designed for solving a fuzzy random multiobjective programming problem. Finally, illustrative examples are given in order to show the application of the proposed models and algorithms.  相似文献   

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