Ant colony algorithm improvement of AGV path based on soft time window for waste tobacco recovery

• DOI: 10.1063/1.5116507
• Publication Date: 2019-07-16T17:00:12Z
• Authors: Shunkai Sun; Jiule Zhu; Qi Xu; Haitao Chen; Wangdi Hu
• Keywords: Robustness; Ant colony

According to the site layout of cigarette industry and requirement AGV soft time window for waste tobacco recycling, change demand recycling based on ant colony algorithm is proposed. The method smoke recovery centered unit station, Considering influence actual production rhythm complex Workshop time, membership function when arrives at station used characterize satisfaction timeliness business. Therefore, with average arrival as constraint condition minimum cost objective, an optimization model path fuzzy established, solved by algorithm. validity robustness are verified example.