摘要
引入新产品最佳投入期和相关收益的概念 ,在产品生命周期量化描述前提下 ,提出一个非线性半无限规划的相关新产品组合投入模型 ,并用微粒群优化算法 (PSO)求解 .仿真实例表明 ,微粒群优化算法在求解组合优化问题时简便且易于实现 ,具有很强的实用性 .
The conceptions of optimal introduction period and correlative profit are introduced. Based on the quantitative description of product life cycle, a non-linear semi-infinite programming model of new product introduction is proposed. The new model is solved through improved particle swarm optimization (PSO) algorithms. Optimal solution of a given example shows that particle swarm optimization has excellent performance and is simple for implement in solving combined optimization problems.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第5期520-524,共5页
Control and Decision
基金
国家自然科学基金资助项目 (70 1710 5 6
6 0 2 74 0 2 7) .
关键词
新产品投入计划
半无限规划
组合投入
微粒群优化
new product introduction planning
semi-infinite programming
combinatorial introduction
particle swarm optimization
