Title :
The Convergence of Optimal Values and Optimal Solutions of Approximation of Fuzzy Mixed Integre Programming
Author :
Liu, Yan-Kui ; Sun, Bin
Author_Institution :
Coll. of Math. & Comput. Sci., Hebei Univ.
Abstract :
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
Keywords :
convergence; fuzzy set theory; integer programming; possibility theory; approximating scheme; finite-dimensional optimization problem; fuzzy mixed integer programming; fuzzy variable parameter; infinite-dimensional optimization; optimal value convergence; possibility distribution; Chromium; Cybernetics; Fuzzy neural networks; Fuzzy systems; Game theory; Linear programming; Machine learning; Mathematical programming; Possibility theory; Production systems; Stochastic systems; Uncertainty; Fuzzy variable; approximation; convergence; fuzzy programming with recourse; optimal solution;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259057