Abstract
2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Robotics is the subject of a repo rt. According to news reporting from Shanghai, People's Republic of China, by Ne wsRx journalists, research stated, "With the emergence of the artificial intelli gence era, all kinds of robots are traditionally used in agricultural production . However, studies concerning the robot task assignment problem in the agricultu re field, which is closely related to the cost and efficiency of a smart farm, a re limited." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news correspondents obtained a quote from the research from Shanghai Univers ity, "Therefore, a Multi-Weeding Robot Task Assignment (MWRTA) problem is addres sed in this paper to minimize the maximum completion time and residual herbicide . A mathematical model is set up, and a Multi-Objective Teaching-Learning-Based Optimization (MOTLBO) algorithm is presented to solve the problem. In the MOTLBO algorithm, a heuristic-based initialization comprising an improved Nawaz Enscor e, and Ham (NEH) heuristic and maximum load-based heuristic is used to generate an initial population with a high level of quality and diversity. An effective t eaching-learning-based optimization process is designed with a dynamic grouping mechanism and a redefined individual updating rule. A multi-neighborhood-based l ocal search strategy is provided to balance the exploitation and exploration of the algorithm. Finally, a comprehensive experiment is conducted to compare the p roposed algorithm with several state-of-the-art algorithms in the literature."
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