摘要
调度是生产过程的关键环节之一,它对企业的经营起到了指导作用。调度问题通常是多约束、多目标、随机不确定优化问题,已被证明是属于NP问题。叙述了智能调度的发展及其特点,并研究了调度问题的遗传算法、神经网络、模糊理论等智能求解方法。
Scheduling is a key link in production system.It can play directive function for enterprise operation and management.Scheduling problems are stochastic optimal problems with multi-constrains,multi-objectives.It has proved to belong to the class of NP hard problems.In this paper,the development and characteristic of intelligent scheduling problems are studied.Some intelligence methods solving scheduling problems such as genetic algorithm,artificial neural network and fuzzy theory are stuied.
出处
《科技进步与对策》
CSSCI
北大核心
2004年第10期170-171,共2页
Science & Technology Progress and Policy
关键词
调度
人工神经网络
遗传算法
scheduling
artificial neural networks
fuzzy theory
