Multi-Objective Teaching-Learning-Based Optimizer for a Multi-Weeding Robot Task Assignment Problem-Reference-Cited by-同舟云学术

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Multi-Objective Teaching-Learning-Based Optimizer for a Multi-Weeding Robot Task Assignment Problem

Published:2024-10 Issue:5 Volume:29 Page:1249-1265
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Kang Nianbo¹,Miao Zhonghua¹,Pan Quan-Ke¹,Li Weimin²,Tasgetiren M. Fatih³

Affiliation:

1. School of Mechatronic Engineering and Automation, Shanghai University,Shanghai,China,200444

2. School of Computer Engineering and Science, Shanghai University,Shanghai,China,200444

3. Baskent University,Industrial Engineering Department,Ankara,Türkiye,06790

Funder

National Natural Science Foundation of China

Program of Shanghai Academic/Technology Research Leader

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx7/5971803/10517916/10517982.pdf?arnumber=10517982

Reference52 articles.

1. Opinion: Smart farming is key to developing sustainable agriculture

2. Smart farming: Agriculture's shift from a labor intensive to technology native industry

3. The Role and Perspective of Climate Smart Agriculture in Africa: A Scientific Review

4. A distributed method for dynamic multi-robot task allocation problems with critical time constraints

5. An improved teaching-learning-based optimization algorithm and its application to a combinatorial optimization problem in foundry industry

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3. An effective multi-objective evolutionary algorithm for multiple spraying robots task assignment problem;Swarm and Evolutionary Computation;2024-06

4. A multi-objective teaching-learning-based optimizer for a cooperative task allocation problem of weeding robots and spraying drones;Swarm and Evolutionary Computation;2024-06

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