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

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

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...

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書目詳細資料
Main Authors:	NIU, Yunyun, SHAO, Jie, XIAO, Jianhua, SONG, Wen, CAO, Zhiguang
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2022
主題:	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
在線閱讀:	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
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