摘要
Abstract
The hybrid flow shop scheduling problem has modeling complexity, dynamic multi-constraint, computational complexity, multi-target, among many other characters. In recent years, a variety of evolutionary computation methods, in particular, genetic algorithms have been gradually introduced into production and its scheduling. This paper puts forward a new coding method for the hybrid flow-shop scheduling problem, with Mat-lab algorithm to encode, and uses data from actual production to simulate. According to the results, this method is feasible and effective for large-scale flow shop scheduling.关键词
混合流水车间调度/遗传算法/MatlabKey words
Hybrid Flow Shop Scheduling/Genetic Algorithm/Matlab分类
信息技术与安全科学
