摘要
针对多资源多目标车间调度的问题,建立了该问题的数学模型,提出一种改进的萤火虫算法来求解该问题。该算法通过对多目标萤火虫算法进行改进:首先,为算法设计了基于时间窗口比较的活动化解码;然后,引入差分进化算子,以达到促进群体之间信息交流与共享的目的,提高收敛精度;最后,通过引入Baldwinian学习策略加强算法的局部搜索能力。实例表明,改进算法可以很好地解决该问题。
For job-shop scheduling problem of multi-objective with multi-resource constraining, a mathematical model of the problem is established, and an improved firefly algorithm is proposed. The algorithm improves the multi-objective firefly algorithm：first of all, based on the comparison of time window, the algorithm design activities of decoding; then, the introduction of differential evolution operator can facilitate information exchange and sharing between groups, improve the convergence precision;at last, enhance the algorithm of local search capabilities by introducing Baldwinian learning strategies. The example shows that the improved algorithm can solve the problem.
出处
《现代制造工程》
CSCD
北大核心
2016年第2期65-72,共8页
Modern Manufacturing Engineering
基金
江苏省产学研联合创新资金项目(SBY2014020479)
江苏省六大人才高峰资助项目(2010-JXQC-089)
