Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem

• Main Authors: NIU, Yunyun, SHAO, Jie, XIAO, Jianhua, SONG, Wen, CAO, Zhiguang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Vehicle routing problem;Stochastic demand;Learnable evolution model;Multi -objective evolutionary algorithm;Radial basis function network;Vehicle routing problem;Stochastic demand;Learnable evolution model;Multi -objective evolutionary algorithm;Radial basis function network; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8208; https://ink.library.smu.edu.sg/context/sis_research/article/9211/viewcontent/Multi_obj_evolutionary_algor_av__1_.pdf
• Institution: Singapore Management University

Solving the multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is challenging due to its non-deterministic property and conflicting objectives. Most multi -objective evolutionary algorithm dealing with this problem update current population without any guidance from previous s...