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Optimization Methods for Mixed Integer Weakly Concave Programming Problems 被引量:1
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作者 zhi-you wu Fu-sheng Bai +1 位作者 Yong-jian Yang Feng Jiang 《Journal of the Operations Research Society of China》 EI 2014年第2期195-222,共28页
In this paper,we consider a class of mixed integer weakly concave programming problems(MIWCPP)consisting of minimizing a difference of a quadratic function and a convex function.A new necessary global optimality condi... In this paper,we consider a class of mixed integer weakly concave programming problems(MIWCPP)consisting of minimizing a difference of a quadratic function and a convex function.A new necessary global optimality conditions for MIWCPP is presented in this paper.A new local optimization method for MIWCPP is designed based on the necessary global optimality conditions,which is different from the traditional local optimization method.A global optimization method is proposed by combining some auxiliary functions and the new local optimization method.Furthermore,numerical examples are also presented to show that the proposed global optimization method for MIWCPP is efficient. 展开更多
关键词 Global optimality conditions Local optimization method Global optimization method Mixed integer weakly concave programming problems
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On Convexification for a Class of Global Optimization Problems
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作者 Qian Yan Xin-Min Yang zhi-you wu 《Journal of the Operations Research Society of China》 EI CSCD 2022年第3期427-446,共20页
In this paper,firstly,we give a counterexample to point out there exist deficiencies in our previous works(Wu et al.in J Glob Optim 31:45-60,2005).In addition,we improve the corresponding results.Finally,an example is... In this paper,firstly,we give a counterexample to point out there exist deficiencies in our previous works(Wu et al.in J Glob Optim 31:45-60,2005).In addition,we improve the corresponding results.Finally,an example is presented to illustrate how a monotone non-convex optimization problem can be transformed into an equivalent convex minimization problem. 展开更多
关键词 Global optimization DEFICIENCY COUNTEREXAMPLE Monotone optimization Convexification method
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Optimization Methods for Box-Constrained Nonlinear Programming Problems Based on Linear Transformation and Lagrange Interpolating Polynomials
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作者 zhi-you wu Fu-Sheng Bai Jing Tian 《Journal of the Operations Research Society of China》 EI CSCD 2017年第2期193-218,共26页
In this paper,an optimality condition for nonlinear programming problems with box constraints is given by using linear transformation and Lagrange interpolating polynomials.Based on this condition,two new local optim... In this paper,an optimality condition for nonlinear programming problems with box constraints is given by using linear transformation and Lagrange interpolating polynomials.Based on this condition,two new local optimization methods are developed.The solution points obtained by the new local optimization methods can improve the Karush–Kuhn–Tucker(KKT)points in general.Two global optimization methods then are proposed by combining the two new local optimization methods with a filled function method.Some numerical examples are reported to show the effectiveness of the proposed methods. 展开更多
关键词 Nonlinear programming Optimality conditions Linear transformation Lagrange interpolating polynomials Global optimization method
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