An Improved Grey Wolf Algorithm for Scheduling Agricultural Harvesting Robots to Minimize Energy Consumption and Time Cost

Author:

Guo Xiang1,Zhu Yue1,Pan Quan-ke1

Affiliation:

1. School of Mechanical and Electrical Engineering and Automation, Shanghai University,Shanghai,China,201800

Publisher

IEEE

Reference16 articles.

1. Application of Artificial Neural Network Over Nickel-Based Catalyst for Combined Steam-Carbon Dioxide of Methane Reforming (CSDRM)

2. Logistic model describes grey wolf optimization algorithm of control parameters;qing-rong;Journal of Lanzhou University of Technology,2018

3. A new local search algorithm providing high quality solutions to vehicle routing problems;shaw;APES Group Dept of Computer Science University of Strathclyde Glasgow Scotland UK,1997

4. An improved grey wolf optimization for solving flexible job shop scheduling problem;qi-wen;Journal of Lanzhou University of Technology,2022

5. An improved grey wolf optimization algorithm and its application in path planning;jingyi;IEEE Access,2021

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