Zobrazeno 1 - 10
of 343
pro vyhledávání: '"UAV path planning"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-33 (2024)
Abstract Multi-constraint UAV path planning problems can be viewed as many-objective optimization problems that can be solved by meta-heuristic algorithms with good self-organizing optimization capabilities. However, such algorithms mostly use random
Externí odkaz:
https://doaj.org/article/5c5454f3453e4a549a54f68696e319fb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Addressing the imbalance between exploration and exploitation, slow convergence, local optima Traps, and low convergence precision in the Northern Goshawk Optimizer (NGO): Introducing a Multi-Strategy Integrated Northern Goshawk Optimizer (M
Externí odkaz:
https://doaj.org/article/4d85b5f843994a7082b84da6ef77b63a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-31 (2024)
Abstract With the wave of artificial intelligence sweeping the world in recent years, UAVs is widely used in various fields. UAV path planning has attracted much attention from scientists as an essential part of UAV work. In order to design an effici
Externí odkaz:
https://doaj.org/article/2540e2ba32594abe89a57b63225ffdf5
Publikováno v:
Alexandria Engineering Journal, Vol 98, Iss , Pp 364-389 (2024)
There are many classic highly complex optimization problems in the world, therefore, it is still necessary to find an applicable and effective algorithm to solve these problems. In this paper, self-adaptive hybrid cross mutation slime mold algorithm
Externí odkaz:
https://doaj.org/article/bdd3c37137e347ed983f2ba201cd8c36
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 737-751 (2024)
In recent years, unmanned aerial vehicles (UAVs) have been considered for many applications, such as disaster prevention and control, logistics and transportation, and wireless communication. Most UAVs need to be manually controlled using remote cont
Externí odkaz:
https://doaj.org/article/e243e7fd9097432f965e9dab4c17b7de
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2870 (2024)
The snow ablation optimizer (SAO) is a meta-heuristic technique used to seek the best solution for sophisticated problems. In response to the defects in the SAO algorithm, which has poor search efficiency and is prone to getting trapped in local opti
Externí odkaz:
https://doaj.org/article/497e895891034c7a9707e96e0501bf4d
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1676 (2024)
Unmanned aerial vehicles (UAVs) provide efficient and flexible means for maritime emergency rescue, with path planning being a critical technology in this context. Most existing unmanned device research focuses on land-based path planning in two-dime
Externí odkaz:
https://doaj.org/article/b9693f19b47e4926a9d4fd8d410d0f18
Publikováno v:
Machines, Vol 12, Iss 9, p 591 (2024)
A differentiated creative search algorithm with multi-strategy improvement (MSDCS) is proposed for the path planning problem for agricultural UAVs under different complicated situations. First, the good point set and oppositional learning strategies
Externí odkaz:
https://doaj.org/article/60c28ae7b161456fac39323007d9ea5d
Autor:
Jianwei Gao, Weijun Pan
Publikováno v:
Aerospace, Vol 11, Iss 9, p 704 (2024)
Urban ultra-low altitude airspace (ULAA) presents unique challenges for unmanned aerial vehicle (UAV) path planning due to high building density and regulatory constraints. This study analyzes and improves classical path planning algorithms for UAVs
Externí odkaz:
https://doaj.org/article/3f545cfb71784106958e5b629ab7d2d2
Publikováno v:
Drones, Vol 8, Iss 7, p 302 (2024)
In this paper, we propose an innovative approach for the path planning of Uninhabited Aerial Vehicles (UAVs) that combines an advanced Genetic Algorithm (GA) for optimising missions in advance and a geometrically based obstacle avoidance algorithm (Q
Externí odkaz:
https://doaj.org/article/a4a06036cf6d42fe9475cf59a03da9ae