Abstract: Based on two-stage fuzzy optimization method, this paper establishes a class of fuzzy production and marketing plan expected value model with recourse and designs hybrid algorithm, which contains approximation approach and particle?swarm?optimization algorithm, to solve the proposed model. Then a practical example is presented to illustrate the effectiveness of the model and algorithm. The algorithm analysis of optimal solution and objective function value will be done through changing the particle numbers and iteration numbers of the particle?swarm?optimization algorithm.

Key words: production and marketing plan problem, fuzzy optimization with recourse, expected value model, approximation approach, particle?swarm?optimization algorithm

摘要： 基于两阶段模糊优化方法建立一类带有补偿的模糊产销计划期望值模型，并设计含有逼近方法和粒子群优化算法的混合算法对提出的模型进行求解。给出一个实例表明模型和算法的有效性。通过改变粒子群优化算法的粒子数和迭代次数对最优解和目标函数值进行算法分析。

关键词: 产销计划问题, 带有补偿的模糊优化, 期望值模型, 逼近方法, 粒子群优化算法