Work

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking

Year: 2019

Type: article

Source: IEEE Transactions on Cybernetics

DOI: 10.1109/tcyb.2019.2955599

Authors: Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay-Chen Tan, Kai Qin

Institutions: Chongqing University, Agency for Science, Technology and Research, Singapore Institute of Manufacturing Technology, South China University of Technology, Shenzhen University, City University of Hong Kong, Swinburne University of Technology

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: City University of Hong Kong, National Natural Science Foundation of China, Venture and Innovation Support Program for Chongqing Overseas Returnees, Shenzhen Research and Development Program

Awards: 基于自组装参考基因组的高通量长读测序数据压缩和比对集成研究, G4431122934, G5044204598, G5527743011, G614912508, G7488970300, G8372918069, G8760813468

OpenAlex ID: W2998409228

FWCI: 7.384

Cites: 57

Cited by: 150

Related to: 10