Energy-efficient green ant colony optimization for path planning in dynamic 3D environments-Reference-Cited by-同舟云学术

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Energy-efficient green ant colony optimization for path planning in dynamic 3D environments

Published:2021-01-03 Issue:6 Volume:25 Page:4749-4769
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Sangeetha V.,Krishankumar R.,Ravichandran K. S.^ORCID,Kar Samarjit

Funder

Defence Research and Development Organisation

University Grants Commission

Council of Scientific and Industrial Research

Department of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-020-05483-6.pdf

Reference38 articles.

1. Adolf F, Langer A, e Silva LDMP, Thielecke F (2007) Probabilistic roadmaps and ant colony optimization for UAV mission planning. IFAC Proc Vol 40(15):264–269

2. Bhasin H, Behal G, Aggarwal N, Saini RK, Choudhary S (2016) On the applicability of diploid genetic algorithms in dynamic environments. Soft Comput 20(9):3403–3410

3. BoussaïD I, Lepagnot J, Siarry P (2013) A survey on optimization metaheuristics. Inf Sci 237:82–117

4. Chao N, Liu YK, Xia H, Peng MJ, Ayodeji A (2019) DL-RRT* algorithm for least dose path Re-planning in dynamic radioactive environments. Nuclear Eng Technol 51(3):825–836

5. Chou JS, Cheng MY, Hsieh YM, Yang IT, Hsu HT (2019) Optimal path planning in real time for dynamic building fire rescue operations using wireless sensors and visual guidance. Autom Constr 99:1–17

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