An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand

• Main Authors: NIU, Yunyun, KONG, Detian, WEN, Rong, CAO, Zhiguang, XIAO, Jianhua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Vehicle routing problems; Stochastic demand; Learnable evolution model; Multi-objective evolutionary algorithm; OS and Networks; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/8118; https://ink.library.smu.edu.sg/context/sis_research/article/9121/viewcontent/AN_IMPROVED.pdf
• Institution: Singapore Management University

The multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is much harder to tackle than other traditional vehicle routing problems (VRPs), due to the uncertainty in customer demands and potentially conflicted objectives. In this paper, we present an improved multi-objective learn...