总体优化一类双参数填充函数算法的改进

求解无约束总体优化问题的一类双参数填充函数算法需要假设该问题的局部极小解的个数只有有限个，而且填充函数中参数的选取与局部极小解的谷域的半径有关．该文对其填充函数作了适当改进，使得新的填充函数算法不仅无需对问题的局部极小解的个数作假设，而且填充函数中参数的选取与局部极小解的谷域的半径无关．数值试验表明算法是有效的．     

非线性整数规划的一个近似算法

利用连续总体优化填充函数法的思想，本文设计了非线性整数规划的一个近似算法．首先，给出了非线性整数规划问题离散局部极小解的定义，设计了找离散局部极小解的局部搜索算法；其次，用所设计的局部搜索算法极小化填充函数来找比当前离散局部极小解好的解．本文的近似算法是直接法，且与连续总体优化的填充函数法相比，本文填充函数中的参数易于选取．数值试验表明，本文的近似算法是有效的．     

整数规划的一类填充函数算法

填充函数算法是求解连续总体优化问题的一类有效算法。本文改造[1]的填充函数算法使之适于直接求解整数规划问题。首先,给出整数规划问题的离散局部极小解的定义,并设计找离散局部极小解的领域搜索算法。其次,构造整数规划问题的填充函数算法。该方法通过寻找填充函数的离散局部极小解以期找到整数规划问题的比当前离散局部极小解好的解。本文的算法是直接法,数值试验表明算法是有效的。     

一类新的求全局优化问题的填充函数

填充函数方法是一种寻找全局极小解的有效方法.本文首先对现有的填充函数进行研究分析,然后构造出一类新的填充函数,设计算法,并通过数值试验验证了该函数和算法的有效性.     

求一类非光滑规划全局极小点的改进的填充函数法

考虑优化问题minx∈ΩF(x) ,针对F(x)为局部Lipschitz函数 ,本文引入了求解该优化问题的一类改进的单参数填充函数 ,给出了相应的算法和收敛估计 ,理论分析和数值结果表明该方法是行之有效的     

非线性整数规划的一个新的无参数填充函数算法

离散填充函数是一种用于求解多极值优化问题最优解的一种行之有效的方法.已被证明对于求解大规模离散优化问题是有效的.本文基于改进的离散填充函数定义,构造了一个新的无参数填充函数,并在理论上给出了证明,提出了一个新的填充函数算法.该填充函数无需调节参数,而且只需极小化一次目标函数.数值结果表明,该算法是高效的、可行的.     

一个新的非线性整数规划问题的单参数填充函数算法

非线性整数规划问题是一类复杂的优化问题,填充函数算法是求解整数规划问题的一类有效方法.构造一个新的单参数填充函数,分析并证明了其填充性质;然后,基于该填充函数并结合离散最速下降法提出了一种新的填充函数算法;最后,采用新算法对6个测试函数进行数值实验,结果表明该算法具有良好的计算效果,是有效可行的.     

一类求解约束全局优化问题的填充函数

本文构造了一类求解约束全局优化问题的填充函数,并在适当的假设条件下, 证明了其填充性质及其它分析性质; 此外,根据所构造的填充函数设计了相应的算法, 并给出了数值试验结果, 以说明所构造填充函数方法的有效性.     

求解全局优化问题的填充函数算法

填充函数法是求解多变量、多极值函数全局优化问题的有效方法.这种方法的关键是构造填充函数.本文在无Lipschitz连续条件下,对一般无约束最优化问题提出了一类单参数填充函数.讨论了其填充性质,并设计了一个求解约束全局优化问题的填充函数算法,数值实验表明,算法是有效的.     

改进集映射下参数广义向量拟平衡问题解映射的Berge下半连续性

该文主要讨论了一类新的参数广义向量拟平衡问题解映射的稳定性.首先,定义了改进集映射,基于改进集映射,将序结构进行推广并应用于拟平衡问题的研究,得到了改进集映射下参数广义向量拟平衡问题(IPGVQEP).然后,给出了一类与改进集映射相关的非线性标量化函数Ψ,利用非线性标量化函数Ψ得到了与原问题(IPGVQEP)对应的标量化问题(IPGVQEP)_Ψ,并获得了原问题与标量化问题解之间的关系.最后,引入了一个关键假设H_Ψ,借助关键假设H_Ψ及原问题与标量化问题间解的关系,获得了IPGVQEP解映射Berge下半连续性的充分必要条件,并举例验证了所得结果.     

A class of parameter-free filled functions for box-constrained system of nonlinear equations

In this paper, a class of parameter-free filled functions is proposed for solving box-constrained system of nonlinear equations. Firstly, the original problem is converted into an equivalent global optimization problem. Subsequently, a class of parameter-free filled functions is proposed for solving the problem. Some properties of the new class of filled functions are studied and discussed. Finally, an algorithm which neither computes nor explicitly approximates gradients during minimizing the filled functions is presented. The global convergence of the algorithm is also established. The implementation of the algorithm on several test problems is reported with satisfactory numerical results.     

约束全局整数规划问题的填充函数法

本文给出了一类新的求解箱约束全局整数规划问题的填充函数，并讨论了其填充性质．基于提出的填充函数，设计了一个求解带等式约束、不等式约束、及箱约束的全局整数规划问题的算法．初步的数值试验结果表明提出的算法是可行的。     

Dynamic Globally Concavized Filled Function Method for Continuous Global Optimization

We consider a box-constrained continuous global minimization problem. A new definition of filled function, namely that of globally concavized filled function, is proposed. A new two-parameter class of globally concavized filled functions A(x,k,p) is constructed, which has the same global minimizers as the problem on the solution domain if p is large enough. The minimization of A(x,k,p) can escape successfully from a previously converged local minimizer by taking increasing values of k. A dynamic globally concavized filled function method is designed based on these functions and the convergence property is proved. Numerical experiments on a set of standard testing functions show that the resulting method is competitive with some well-known global minimization methods. This research was supported partially by the NSFC under Grants 60773126 and 10301009, the NKBRSF of China under Grant 2006CB805900, and the Natural Science Foundation of Fujian province under Grant 2006J0030.     

A Novel Filled Function Method and Quasi-Filled Function Method for Global Optimization

This paper gives a new definition of a filled function, which eliminates certain drawbacks of the traditional definitions. Moreover, this paper proposes a quasi-filled function to improve the efficiency of numerical computation and overcomes some drawbacks of filled functions. Then, a new filled function method and a quasi-filled function method are presented for solving a class of global optimization problems. The global optimization approaches proposed in this paper will find a global minimum of original problem by implementing a local search scheme to the proposed filled function or quasi-filled function. Illustrative examples are provided to demonstrate the efficiency and reliability of the proposed scheme. This research was partially supported by Chongqing Municipal Education Commission under Grant 030809, and the Research Committee of The Hong Kong Polytechnic University. An erratum to this article is available at .     

整数规划的广义填充函数算法

文[9,10]设计了直接求整数规划问题近似解的填充函数算法,但其所利用的文[2,3]的填充函数均带有参数,需要在算法过程中逐步调节。本文建立整数规划的广义填充函数的定义,说明了文[9,10]所利用的填充函数是整数规划问题的广义填充函数,并构造了一类不带参数的广义填充函数。进而本文设计了整数规划的一类不带参数的广义填充函数算法,数值试验表明算法是有效的。     

On a control problem for the wave equation in R<Superscript>3</Superscript>

Solutions of the wave equation (waves) initiated by infinitely distant sources (controls) are considered, and the L₂-completeness of reachable sets consisting of such waves is stidued. This problem is a natural analog of the control problem for a bounded domain where the completeness (local approximate controllability) in subdomains filled with waves generated by boundary controls occurs. It is shown that, in contrast to the latter case, the reachable sets formed by waves incoming from infinity are not complete in filled subdomains and describe the associated defect. Next, extending the class of controls to a set of special polynomials, the completeness is gained. A transform defined by jumps that arise in projecting functions to reachable sets is introduced. Its relevance to the Radon transform is clarified. Bibliography: 7 titles. __________ Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 332, 2006, pp. 19–37.     

A class of filled functions for finding global minimizers of a function of several variables

This paper is concerned with filled function methods for finding global minimizers of a function of several variables. A class of filled functions is defined. The advantages and disadvantages of every filled function in the class are analyzed. The best one in this class is pointed out. The idea behind constructing a better filled function is given and employed to construct the class of filled functions. A method is also explored on how to locate minimizers or saddle points of a filled function through only the use of the gradient of a function.The authors are indebted to Dr. L. C. W. Dixon for stimulating discussions.