Modified continuous ant colony optimisation for multiple unmanned ground vehicle path planning
Path planning for multiple Unmanned Ground Vehicles (UGVs) is a critical problem for UGV
autonomy and is increasingly attracting attention due to its wide applications. This paper …
autonomy and is increasingly attracting attention due to its wide applications. This paper …
Ant colony optimization for multi-UAV minimum time search in uncertain domains
S Perez-Carabaza, E Besada-Portas… - Applied Soft …, 2018 - Elsevier
This paper presents a new approach based on ant colony optimization (ACO) to determine
the trajectories of a fleet of unmanned air vehicles (UAVs) looking for a lost target in the …
the trajectories of a fleet of unmanned air vehicles (UAVs) looking for a lost target in the …
The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method
The unmanned surface vehicle (USV) has been widely used to accomplish missions in the
sea or dangerous marine areas for ships with sailors, which greatly expands protective …
sea or dangerous marine areas for ships with sailors, which greatly expands protective …
UAV trajectory optimization for Minimum Time Search with communication constraints and collision avoidance
Abstract Minimum Time Search (MTS) algorithms help in search missions proposing search
trajectories that minimize the target detection time considering the available information …
trajectories that minimize the target detection time considering the available information …
Improved continuous Ant Colony Optimization algorithms for real-world engineering optimization problems
MGH Omran, S Al-Sharhan - Engineering Applications of Artificial …, 2019 - Elsevier
Abstract The Ant Colony Optimization (ACO) algorithm is a well-known optimization method
that has been successfully applied to solve many difficult discrete optimization problems. A …
that has been successfully applied to solve many difficult discrete optimization problems. A …
Moving target search optimization–a literature review
M Raap, M Preuß, S Meyer-Nieberg - Computers & Operations Research, 2019 - Elsevier
The path-constrained moving target search problem has been subject to research since
1979 and is still investigated due to its important application, namely: search missions. This …
1979 and is still investigated due to its important application, namely: search missions. This …
[HTML][HTML] 面向元启发式算法的多无人机路径规划现状与展望
赵畅， 刘允刚， 陈琳， 李峰忠， 满永超 - 控制与决策, 2022 - kzyjc.alljournals.cn
多无人机路径规划是一个复杂的多约束组合优化问题, 通过传统算法很难求得优良结果,
元启发式算法由于其快速高效而成为解决该类优化问题的有效手段. 首先 …
元启发式算法由于其快速高效而成为解决该类优化问题的有效手段. 首先 …
A review of intelligent optimization algorithm applied to unmanned aerial vehicle swarm search task
Z Qiming, W Husheng… - 2021 11th International …, 2021 - ieeexplore.ieee.org
Collaborative search is one of the key application fields of UAV swarm, Efficient and
accurate algorithm is very important to complete the task of UAV swarm search, and the …
accurate algorithm is very important to complete the task of UAV swarm search, and the …
[HTML][HTML] Minimizing the searching time of multiple targets in uncertain environments with multiple UAVs
S Pérez-Carabaza, E Besada-Portas… - Applied Soft …, 2024 - Elsevier
The focus of this paper is the use of Unmanned Aerial Vehicles (UAVs) for searching
multiple targets under uncertain conditions in the minimal possible time. The problem …
multiple targets under uncertain conditions in the minimal possible time. The problem …
Multi-UAV path planning for autonomous missions in mixed GNSS coverage scenarios
This paper presents an algorithm for multi-UAV path planning in scenarios with
heterogeneous Global Navigation Satellite Systems (GNSS) coverage. In these …
heterogeneous Global Navigation Satellite Systems (GNSS) coverage. In these …