关键词: 铁合金配料问题, 可信性约束, 机会约束, 逼近方法, 神经网络, 遗传算法

Abstract: A great deal of conventional research has been done on ferroalloy burdening problem，most of which concerns deterministic systems.This paper considers a new class of fuzzy ferroalloy burdening chance-constrained model with credibility constraint in uncertainty systems.Since the proposed fuzzy ferroalloy burdening problem often includes fuzzy variable parameters with infinite supports，it is infinite-dimensional optimization problem that can rarely be solved directly.In order to solve this fuzzy programming problem，it transforms fuzzy ferroalloy burdening chance-constrained problem into a finite-dimensional optimization problem by approximation approach.It designs a hybrid intelligent algorithm，which combines approximation approach，neural network and genetic algorithm to solve the proposed ferroalloy burdening chance-constrained problem with credibility constraint.A numerical example is given to show the practicality of the designed model and algorithm.

Key words: ferroalloy burdening problem, credibility constraint, chance-constrained, approximation approach, neural network, genetic algorithm