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基于存档策略的多目标优化的遗传算法及其收敛性分析 总被引:1,自引:0,他引:1
设计了一种用遗传算法求解多目标优化问题的有效方法——基于存档策略的多目标优化的遗传算法,并讨论了此算法的收敛性.首先给出档案的定义,设计出基于支配关系下的带有存档策略遗传算法,并通过算例检验了算法的有效性;然后引入了两档案间的距离的概念,在此距离定义的基础上证明了算法在概率意义下是收敛的. 相似文献
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In this paper we generalize the concept of a Dini-convex function with Dini derivative and introduce a new concept - Dini-invexity. Some properties of Dini invex functions are discussed. On the base of this, we study the Wolfe type duality and Mond-Weir type duality for Dini-invex nonsmooth multiobjective programmings and obtain corresponding duality theorems. 相似文献
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本文利用Dini右上、右下导数给出了非光滑伪线性多目标规划的对偶理论,建立了Mond-Weir型对仍与Wolf型对偶;并证明了原问题与对偶问题之间的对偶定理. 相似文献
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A Combined Homotopy Interior Point Method for Nonconvex Programming with Pseudo Cone Condition 总被引:1,自引:0,他引:1
SinceKarmarkar sfamouspaper [1 ]onanew polynomialinteriorpointalgorithmforlinearprogrammingwaspublishedin 1 984 ,interiorpointmethodshavebeenproventobeaclassofefficientmethodsformathematicalprogrammingandhavebeenpaidmuchattention .Uptonow ,theories,algorithmsa… 相似文献
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求解多目标规划最小弱有效解的同伦内点方法 总被引:3,自引:0,他引:3
本文利用非线性规划中的组合同伦方法;给出了求解目标规划问题最小弱有效解的同伦内点方法,并证明了该方法是整体收敛的。 相似文献
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A Combined Homotopy Infeasible Interior-Point Method for Convex Nonlinear Programming 总被引:2,自引:0,他引:2
In this paper, on the basis of the logarithmic barrier function and KKT conditions , we propose a combined homotopy infeasible interior-point method (CHIIP) for convex nonlinear programming problems. For any convex nonlinear programming, without strict convexity for the logarithmic barrier function, we get different solutions of the convex programming in different cases by CHIIP method. 相似文献
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A NEW FRAMEWORK OF PRIMAL-DUAL INFEASIBLE INTERIOR-POINT METHOD FOR LINEAR PROGRAMMING* 总被引:1,自引:0,他引:1
On the basis of the formulations of the logarithmic barrier function and the idea of following the path of minimizers for the logarithmic barrier family of problems the so called "centralpath" for linear programming, we propose a new framework of primal-dual infeasible interiorpoint method for linear programming problems. Without the strict convexity of the logarithmic barrier function, we get the following results: (a) if the homotopy parameterμcan not reach to zero,then the feasible set of these programming problems is empty; (b) if the strictly feasible set is nonempty and the solution set is bounded, then for any initial point x, we can obtain a solution of the problems by this method; (c) if the strictly feasible set is nonempty and the solution set is unbounded, then for any initial point x, we can obtain a (?)-solution; and(d) if the strictly feasible set is nonempty and the solution set is empty, then we can get the curve x(μ), which towards to the generalized solutions. 相似文献
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