Three-Dimensional Path Planning for AUVs Based on Standard Particle Swarm Optimization Algorithm
This paper proposes an improved standard particle swarm optimization 2011 for autonomous underwater vehicles (AUVs). A mutation operator with a threshold is introduced to solve the problem of particles falling into the local extreme, and a nonlinear adaptive parameter strategy is introduced to accel...
Main Authors: | Bangshun Zhan, Shun An, Yan He, Longjin Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/10/9/1253 |
Similar Items
-
Path Planning for Autonomous Underwater Vehicles (AUVs) Considering the Influences and Constraints of Ocean Currents
by: Ziming Chen, et al.
Published: (2024-07-01) -
Motion control and path optimization of intelligent AUV using fuzzy adaptive PID and improved genetic algorithm
by: Yong Xiong, et al.
Published: (2023-03-01) -
Three-Dimensional Path Tracking of Over-Actuated AUVs Based on MPC and Variable Universe S-Plane Algorithms
by: Feng Xu, et al.
Published: (2024-02-01) -
Three-Dimensional Path-Following Control of an Autonomous Underwater Vehicle Based on Deep Reinforcement Learning
by: Liang Zhenyu, et al.
Published: (2022-12-01) -
Coverage path planning for multi-AUV considering ocean currents and sonar performance
by: Xukai Mu, et al.
Published: (2025-01-01)