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。
Based on two-stage fuzzy optimization method, this paper establishes a class of fuzzy production and market- ing 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.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第23期258-265,共8页
Computer Engineering and Applications
基金
河北省自然科学基金项目(No.A2013410011)
河北省科技支撑计划项目(No.134076180D)
河北省高等学校科学技术研究项目(No.Q2012048)
河北金融学院应用数学优秀基础学科基金项目
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
production and marketing plan problem
fuzzy optimization with recourse
expected value model
approxima-tion approach
particle swarm optimization algorithm
