Applying genetic algorithm and ant colony optimization algorithm into marine investigation path planning model-Reference-Cited by-同舟云学术

Applying genetic algorithm and ant colony optimization algorithm into marine investigation path planning model

Published:2019-10-16 Issue:11 Volume:24 Page:8199-8210
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Liang Ye,Wang Lindong

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04414-4.pdf

Reference33 articles.

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3. Arzamendia M, Espartza I, Reina DG et al (2018) Comparison of Eulerian and Hamiltonian circuits for evolutionary-based path planning of an autonomous surface vehicle for monitoring Ypacarai Lake. J Ambient Intell Humaniz Comput 10:1495–1507

4. Blekas K, Vlachos K (2018) RL-based path planning for an over-actuated floating vehicle under disturbances. Robot Auton Syst 101:93–102

5. Chen C, Liu YT (2018) Enhanced ant colony optimization with dynamic mutation and ad hoc initialization for improving the design of TSK-type fuzzy system. Comput Intell Neurosci 2018:1–15

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