Herein, a hybrid differential evolution (HDE) algorithm is proposed to generate a high-quality and feasible route for fixed-wing UAVs in complex three-dimensional environments. A multiobjective function is designed, and both the route length and risk are optimized.
A route planner is key to UAV autonomous task execution. Herein, a hybrid differential evolu- tion (HDE) algorithm is proposed to generate a high- quality and ...
A hybrid differential evolution (HDE) algorithm is proposed to generate a high-quality and feasible route for fixed-wing UAVs in complex three-dimensional ...
A route planner is key to UAV autonomous task execution. Herein, a hybrid differential evolution (HDE) algorithm is proposed to generate a high-quality and ...
A route planner is key to UAV autonomous task execution. Herein, a hybrid differential evolution (HDE) algorithm is proposed to generate a high-quality and ...
Dec 20, 2020 · A route planner is key to UAV autonomous task execution. Herein, a hybrid differential evolution (HDE) algorithm is proposed to generate a high- ...
Nov 29, 2017 · It allows the UAV to autonomously compute the best path from a start point to a target based on the task requirements and restraints. With the ...
Jul 15, 2022 · This paper considers the unmanned aerial vehicle (UAV) global path planning as an optimization problem with constraints and proposes a hybrid differential ...
Apr 15, 2024 · The proposed OQMGTO algorithm introduces three strategies: combination mutation, quadratic interpolation, and random opposition-based learning.
Jun 6, 2013 · This paper presents a hybrid differential evolution (DE) with quantum-behaved particle swarm optimization (QPSO) for the unmanned aerial vehicle (UAV) route ...
Missing: Three- Dimensional