A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning-Reference-Cited by-同舟云学术

A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning

Published:2016-07-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference 2016
language:
Short-container-title:

Author:

Arantes Márcio da Silva¹,Arantes Jesimar da Silva¹,Toledo Claudio Fabiano Motta¹,Williams Brian C.²

Affiliation:

1. University of São Paulo, São Carlos, Brazil

2. Massachusetts Institute of Technology, Cambridge, USA

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2908812.2908919

Reference17 articles.

1. Chance-Constrained Optimal Path Planning With Obstacles

2. SmartPATH: An Efficient Hybrid ACO-GA Algorithm for Solving the Global Path Planning Problem of Mobile Robots

3. The regulation of civilian drones' impacts on public safety

4. C. Fang. Mission-level Planning with Constraints on Risk. PhD thesis Massachusetts Institute of Technology 2014. C. Fang. Mission-level Planning with Constraints on Risk. PhD thesis Massachusetts Institute of Technology 2014.

5. Politics & technology: U.s. polices restricting unmanned aerial systems in agriculture. Food Policy, 49;Freeman P.;Part,2014

Cited by 29 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. Hybrid algorithms in path planning for autonomous navigation of unmanned aerial vehicle: a comprehensive review;Measurement Science and Technology;2024-08-02

2. From PID to swarms: A decade of advancements in drone control and path planning - A systematic review (2013–2023);Swarm and Evolutionary Computation;2024-08

3. UAV path planning techniques: a survey;RAIRO - Operations Research;2024-07

4. RGG-PSO+: Random Geometric Graphs Based Particle Swarm Optimization Method for UAV Path Planning;International Journal of Computational Intelligence Systems;2024-05-21

5. Multi-UAV Collaborative Reconnaissance Based on Adaptive Particle Swarm Optimization;2023 IEEE International Conference on Unmanned Systems (ICUS);2023-10-13