首页> 外文会议>Proceedings of the 2006 International Conference on Machine Learning and Cybernetics >THE CONVERGENCE OF OPTIMAL VALUES AND OPTIMAL SOLUTIONS OF APPROXIMATION OF FUZZY MIXED INTEGRE PROGRAMMING
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THE CONVERGENCE OF OPTIMAL VALUES AND OPTIMAL SOLUTIONS OF APPROXIMATION OF FUZZY MIXED INTEGRE PROGRAMMING

机译:模糊混合积分规划逼近的最优值和最优解的收敛性

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Since fuzzy programming with recourse problems includes fuzzy variable parameters defined through a possibility distribution, it is inherently infinite-dimensional optimization problems that can rarely be solved directly.Therefore, algorithms to solve such optimization problems must rely on intelligent computing as well as approximating scheme, which result in approximating finite-dimensional optimization problems. The purpose of this paper is to establish conditions under which the optimal objective value (resp., optimal solution) of such approximating finite-dimensional optimization problem converges to the optimal objective value (resp., optimal solution) of the true infinite-dimensional optimization problem.
机译:由于具有追索性问题的模糊规划包括通过可能性分布定义的模糊变量参数,因此它本质上是无限维的优化问题,几乎无法直接解决。因此,解决此类优化问题的算法必须依靠智能计算以及近似方案,这导致近似有限维优化问题。本文的目的是建立条件,在这种条件下,这种近似有限维优化问题的最优目标值(resp。,最优解)收敛到真正的无限维优化问题的最优目标值(resp。,最优解)。问题。

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