Stochastic economic lot scheduling via self-attention based deep reinforcement learning

• Main Authors: SONG, Wen, MI, Nan, LI, Qiqiang, ZHUANG, Jing, CAO, Zhiguang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Production; Job shop scheduling; Metaheuristics; Costs; Dynamic scheduling; Reinforcement learning; Deep learning; Deep reinforcement learning; Stochastic economic lot scheduling; Self-attention; Operations Research, Systems Engineering and Industrial Engineering; Theory and Algorithms; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/8201
• Institution: Singapore Management University

The Stochastic Economic Lot Scheduling Problem (SELSP) is a difficult dynamic optimization problem with wide industrial applications. Traditional methods such as hyper-heuristics are manually designed based on substantial expert knowledge, which may limit their optimization performance. Recently, De...