Autonomous Surface Vehicle energy-efficient and reward-based path planning using Particle Swarm Optimization and Visibility Graphs-Reference-Cited by-同舟云学术

Autonomous Surface Vehicle energy-efficient and reward-based path planning using Particle Swarm Optimization and Visibility Graphs

Published:2022-05 Issue: Volume:122 Page:103125
ISSN:0141-1187
Container-title:Applied Ocean Research
language:en
Short-container-title:Applied Ocean Research

Author:

Krell Evan^ORCID,King Scott A.^ORCID,Garcia Carrillo Luis Rodolfo^ORCID

Publisher

Elsevier BV

Subject

Ocean Engineering

Reference52 articles.

1. Inertia weight strategies in particle swarm optimization;Bansal,2011

2. Beaufort wind scale;Barua,2005

3. Beardsley, C., 2014. Northeast Coastal ocean forecast system (NECOFS): A Multi-scale global-regional-estuarine FVCOM Model. In: AGU Fall Meeting Abstracts.

4. A parallel global multiobjective framework for optimization: pagmo;Biscani;J. Open Source Softw.,2020

5. Particle swarm optimization in dynamic environments;Blackwell,2007

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Bio-Inspired Sliding Mode Method for Autonomous Cooperative Formation Control of Underactuated USVs with Ocean Environment Disturbances;Journal of Marine Science and Engineering;2024-09-10

2. Hybrid Path Planning Strategy Based on Improved Particle Swarm Optimisation Algorithm Combined with DWA for Unmanned Surface Vehicles;Journal of Marine Science and Engineering;2024-07-28

3. Improving Autonomous Underwater Vehicle Navigation: Hybrid Swarm Intelligence for Dynamic Marine Environment Path-finding;Journal of Machine and Computing;2024-07-05

4. Local Path Planning Method for Unmanned Ship Based on Encounter Situation Inference and COLREGS Constraints;Journal of Marine Science and Engineering;2024-04-26

5. Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey;Swarm and Evolutionary Computation;2024-04