3D path planning for underwater vehicles using five evolutionary optimization algorithms avoiding static and energetic obstacles
By Mohammad Pourmahmood Aghababa. 2012
116 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/93a7d4fc634f5faab011a7709f5599b70a33cea9
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In Computer Vision and Pattern Recognition
In Ocean Engineering
Citations in the corpus
- Survey of Robot 3D Path Planning Algorithms (2016, background): “Although compared to GA and ACO they have a lower degree of implementation, still a lot of works [4, 111, 112] have been done with these methods.”