Suchergebnisse - "Dynamic augmented multi-objective particle swarm optimization"

Multi-objective path planning for unmanned surface vehicle with currents effects.

Autoren: Ma, Yong Hu, Mengqi Yan, Xinping

Quelle: ISA Transactions. Apr2018, Vol. 75, p137-156. 20p.

Schlagwörter: Robotic path planning, Autonomous vehicles, Multiple criteria decision making, Collision avoidance systems in automobiles, Particle swarm optimization

Autonomous underwater vehicle 3D path planning based on multiple populations for multiple objectives ant colony optimization.

Autoren: Zhang, Zhaojun Lu, Shun Lu, Jiawei et al.

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-19, 19p

Schlagwörter: AUTONOMOUS underwater vehicles, ANT algorithms, MULTIPLE criteria decision making, TRAJECTORY optimization, ROBOTIC path planning, OCEAN currents, ENERGY consumption

Real-time dynamic path planning for distributed unmanned surface vehicles in coordinated formations with maneuverability constraints.

Autoren: Chen, Xizhe Yin, Shihong Li, Yujing et al.

Quelle: Applied Intelligence; Jul2025, Vol. 55 Issue 10, p1-17, 17p

A Fuzzy Logic Approach of Pareto Optimality for Multi-objective Path Planning in case of Unmanned Surface Vehicle.

Autoren: Ntakolia, Charis Kladis, Georgios P. Lyridis, Dimitrios V.

Quelle: Journal of Intelligent & Robotic Systems; Sep2023, Vol. 109 Issue 1, p1-12, 12p

Multi Objective Optimization Algorithms for Mobile Robot Path Planning: A Survey.

Autoren: Abed, Baraa Mohammed Jasim, Wesam Mohammed

Quelle: International Journal of Online & Biomedical Engineering; 2022, Vol. 18 Issue 15, p160-177, 18p

Schlagwörter: ROBOTIC path planning, MATHEMATICAL optimization, MOBILE robots

Dynamic Navigation and Area Assignment of Multiple USVs Based on Multi-Agent Deep Reinforcement Learning.

Autoren: Wen, Jiayi Liu, Shaoman Lin, Yejin

Quelle: Sensors (14248220); Sep2022, Vol. 22 Issue 18, p6942-N.PAG, 14p

Schlagwörter: REINFORCEMENT learning, DEEP learning, AUTONOMOUS vehicles

A Comprehensive Review of Path Planning for Agricultural Ground Robots.

Autoren: Chakraborty, Suprava Elangovan, Devaraj Govindarajan, Padma Lakshmi et al.

Quelle: Sustainability (2071-1050); Aug2022, Vol. 14 Issue 15, p9156-N.PAG, 19p

Multi-objective path planning for unmanned surface vehicle with currents effects

Autoren: Yan Xinping Yong Ma Mengqi Hu

Quelle: ISA Transactions. 75:137-156

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/29455891
https://pubmed.ncbi.nlm.nih.gov/29455891/
https://www.sciencedirect.com/science/article/pii/S0019057818300478
https://www.ncbi.nlm.nih.gov/pubmed/29455891

An Improved A-Star Algorithm Considering Water Current, Traffic Separation and Berthing for Vessel Path Planning.

Autoren: Liu, Chenguang Mao, Qingzhou Chu, Xiumin et al.

Quelle: Applied Sciences (2076-3417); Mar2019, Vol. 9 Issue 6, p1057, 17p

Schlagwörter: WATER currents, SOLAR radiation management, MOORING of ships, BRIDGE foundations & piers, ALGORITHMS, ASSET management accounts

A Swarm Intelligence Graph-Based Pathfinding Algorithm Based on Fuzzy Logic (SIGPAF): A Case Study on Unmanned Surface Vehicle Multi-Objective Path Planning.

Autoren: Ntakolia, Charis Lyridis, Dimitrios V.

Quelle: Journal of Marine Science & Engineering; Nov2021, Vol. 9 Issue 11, p1243-1243, 1p

Schlagwörter: SWARM intelligence, FUZZY logic, FUZZY algorithms, AUTONOMOUS vehicles, REMOTELY piloted vehicles, COMPUTER vision