摘要
提出更准确地描述准时化生产计划问题的非线性半无限规划模型。由于传统的优化方法不能求解这类问题，提出一种沿梯度方向变异的遗传算法，该算法实质上是最速下降法和随机抽样算法的组合。实验结果表明以上模型和算法有潜力解决实际生产计划问题。
To closely describe the just - in - time production planning problems a nonlinear semi - infinite programming model is proposed. Due to its complexities, the problem cannot be solved by any traditional optimization approach. A specially designed genetic algorithm with mutation along the negative gradient drection is developed. The proposed algorithm is a combination of the steepest descent method with the stochastic sampling algorithm. Some numerical results are included to show its potential for industrial applications.
出处
《控制与决策》
EI
CSCD
北大核心
1996年第4期446-451,共6页
Control and Decision
基金
国家自然科学基金
美国国家纺织中心研究基金
关键词
CIMS
生产计划
遗传算法
半无限规划模型
production planning
JIT production
genetic algorithms
semi - infinite programming
optimization
