基于深度強(qiáng)化學(xué)習(xí)的收割機(jī)省內(nèi)協(xié)同調(diào)度優(yōu)化策略
農(nóng)業(yè)工程學(xué)報(bào)
頁數(shù): 10 2024-07-12
摘要: 針對(duì)目前多機(jī)多地塊間調(diào)度作業(yè)存在效率低、成本高等問題,該研究構(gòu)建了以收割機(jī)地塊間轉(zhuǎn)移成本最小為目標(biāo)的協(xié)同調(diào)度模型,設(shè)計(jì)了基于深度強(qiáng)化學(xué)習(xí)的收割機(jī)協(xié)同調(diào)度優(yōu)化算法(inter-regional collaborative optimization scheduling algorithm based on deep reinforcement learning,DRL-ICOSA...