Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Jianlin, Mao"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101930- (2024)
Path finding is an essential problem in multi-agent systems, widely employed in warehousing and logistics. However, most of the current studies focus on the problem of assigning one agent with one task in a period, which may hinder the efficiency of
Externí odkaz:
https://doaj.org/article/3e8857c19a644cd9b8f2fe416242c3c8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 225-252 (2022)
Multi-robot path planning is a hot problem in the field of robotics. Compared with single-robot path planning, complex problems such as obstacle avoidance and mutual collaboration need to be considered. This paper proposes an efficient leader followe
Externí odkaz:
https://doaj.org/article/12c25f9030954673bed81c3fa9be11ff
Publikováno v:
Complexity, Vol 2022 (2022)
This paper considers two kinds of stochastic reentrant job shop scheduling problems (SRJSSP), i.e., the SRJSSP with the maximum tardiness criterion and the SRJSSP with the makespan criterion. Owing to the NP-complete complexity of the considered RJSS
Externí odkaz:
https://doaj.org/article/fdc1773c57614cab972a49f66d3b52bd
Publikováno v:
Entropy, Vol 25, Iss 1, p 87 (2022)
The quadratic minimum spanning tree problem (QMSTP) is a spanning tree optimization problem that considers the interaction cost between pairs of edges arising from a number of practical scenarios. This problem is NP-hard, and therefore there is not a
Externí odkaz:
https://doaj.org/article/d8ee45db1f1c414e9cc45d4f1c03652f
Publikováno v:
IEEE Sensors Journal. 23:12398-12410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::796cbe7c2cf359c872066748174e95ca
https://doi.org/10.1109/jsen.2023.3268083
https://doi.org/10.1109/jsen.2023.3268083
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 11, p 1695 (2022)
Autonomous underwater vehicle (AUV) path planning in complex marine environments meets many chanllenges, such as many influencing factors, complex models and the performance of the optimization algorithm to be improved. To find a path with minimum co
Externí odkaz:
https://doaj.org/article/5ffe1971e74d4f739b1b8087fe11595e
Publikováno v:
Complexity, Vol 2020 (2020)
In this article, a new nonlinear algorithm based on the sliding mode control is developed for the ball and plate control system to improve dynamic response and steady-state tracking accuracy of the control system. First, a new sliding mode reaching l
Externí odkaz:
https://doaj.org/article/6ea2a3f2e29640f0a789300c2b3aa5a9
Publikováno v:
Machines, Vol 10, Iss 1, p 50 (2022)
To further improve the path planning of the mobile robot in complex dynamic environments, this paper proposes an enhanced hybrid algorithm by considering the excellent search capability of the ant colony optimization (ACO) for global paths and the ad
Externí odkaz:
https://doaj.org/article/6f64825f47ef45e2b74e48d207aec327
Publikováno v:
Scientific Reports; 1/8/2024, Vol. 14 Issue 1, p1-10, 10p
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811939266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f40559261cf1aa52bb25d033b040dd99
https://doi.org/10.1007/978-981-19-3927-3_4
https://doi.org/10.1007/978-981-19-3927-3_4
