Matches in SemOpenAlex for { <https://semopenalex.org/work/W2765093485> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2765093485 endingPage "22795" @default.
- W2765093485 startingPage "22783" @default.
- W2765093485 abstract "Path planning is an important problem in autonomous control technology. This paper aims to overcome the shortcomings of the wolf pack algorithm (WPA), such as slow rate of convergence and low convergence precision, by improving the three intelligent behaviors of the WPA, namely, scouting, summoning, and beleaguering. To improve the scouting behavior, interactive scouting is proposed to increase the interactivity among wolf pack. Furthermore, to improve the summoning behavior, a prey-based adaptive step model is established to improve the searching ability. Finally, calculation rules of new beleaguering behavior are designed, which enhance the local fine search ability considerably. A fast path planning method based on dubins path was proposed, which applied the dubins path planning to meet angle control constraint and tunes the turning radius to meet control constraint. The dubins path planning method based on the modified WPA is proposed by establishing the underwater environment threat model under the condition of autonomous underwater vehicle constraint. The path between the path points is the shortest, the threat is minimal, and the energy consumption is the least without the consideration of ocean current. Simulation results show that the modified WPA has a high rate of convergence and good local search capability in the high-precision, high-dimensional, and multi-peak function; moreover, it does not converge prematurely." @default.
- W2765093485 created "2017-11-10" @default.
- W2765093485 creator A5046059018 @default.
- W2765093485 creator A5048618563 @default.
- W2765093485 creator A5049903633 @default.
- W2765093485 creator A5062709913 @default.
- W2765093485 creator A5074004119 @default.
- W2765093485 date "2017-01-01" @default.
- W2765093485 modified "2023-10-03" @default.
- W2765093485 title "Three-Dimensional Underwater Path Planning Based on Modified Wolf Pack Algorithm" @default.
- W2765093485 cites W1996810175 @default.
- W2765093485 cites W2003694457 @default.
- W2765093485 cites W2019464137 @default.
- W2765093485 cites W2022637272 @default.
- W2765093485 cites W2030670936 @default.
- W2765093485 cites W2057770661 @default.
- W2765093485 cites W2135383305 @default.
- W2765093485 cites W2150282654 @default.
- W2765093485 cites W2152195021 @default.
- W2765093485 cites W2291192769 @default.
- W2765093485 cites W2422753010 @default.
- W2765093485 cites W2506918753 @default.
- W2765093485 cites W2557046245 @default.
- W2765093485 cites W2557621405 @default.
- W2765093485 cites W2586960902 @default.
- W2765093485 cites W2587908759 @default.
- W2765093485 cites W3098759087 @default.
- W2765093485 doi "https://doi.org/10.1109/access.2017.2765504" @default.
- W2765093485 hasPublicationYear "2017" @default.
- W2765093485 type Work @default.
- W2765093485 sameAs 2765093485 @default.
- W2765093485 citedByCount "34" @default.
- W2765093485 countsByYear W27650934852018 @default.
- W2765093485 countsByYear W27650934852019 @default.
- W2765093485 countsByYear W27650934852020 @default.
- W2765093485 countsByYear W27650934852021 @default.
- W2765093485 countsByYear W27650934852022 @default.
- W2765093485 countsByYear W27650934852023 @default.
- W2765093485 crossrefType "journal-article" @default.
- W2765093485 hasAuthorship W2765093485A5046059018 @default.
- W2765093485 hasAuthorship W2765093485A5048618563 @default.
- W2765093485 hasAuthorship W2765093485A5049903633 @default.
- W2765093485 hasAuthorship W2765093485A5062709913 @default.
- W2765093485 hasAuthorship W2765093485A5074004119 @default.
- W2765093485 hasBestOaLocation W27650934851 @default.
- W2765093485 hasConcept C111368507 @default.
- W2765093485 hasConcept C11413529 @default.
- W2765093485 hasConcept C127313418 @default.
- W2765093485 hasConcept C154945302 @default.
- W2765093485 hasConcept C2777735758 @default.
- W2765093485 hasConcept C31258907 @default.
- W2765093485 hasConcept C31972630 @default.
- W2765093485 hasConcept C41008148 @default.
- W2765093485 hasConcept C81074085 @default.
- W2765093485 hasConcept C90509273 @default.
- W2765093485 hasConcept C98083399 @default.
- W2765093485 hasConceptScore W2765093485C111368507 @default.
- W2765093485 hasConceptScore W2765093485C11413529 @default.
- W2765093485 hasConceptScore W2765093485C127313418 @default.
- W2765093485 hasConceptScore W2765093485C154945302 @default.
- W2765093485 hasConceptScore W2765093485C2777735758 @default.
- W2765093485 hasConceptScore W2765093485C31258907 @default.
- W2765093485 hasConceptScore W2765093485C31972630 @default.
- W2765093485 hasConceptScore W2765093485C41008148 @default.
- W2765093485 hasConceptScore W2765093485C81074085 @default.
- W2765093485 hasConceptScore W2765093485C90509273 @default.
- W2765093485 hasConceptScore W2765093485C98083399 @default.
- W2765093485 hasFunder F4320321001 @default.
- W2765093485 hasFunder F4320323085 @default.
- W2765093485 hasFunder F4320335787 @default.
- W2765093485 hasFunder F4320336024 @default.
- W2765093485 hasLocation W27650934851 @default.
- W2765093485 hasOpenAccess W2765093485 @default.
- W2765093485 hasPrimaryLocation W27650934851 @default.
- W2765093485 hasRelatedWork W1647058919 @default.
- W2765093485 hasRelatedWork W1928779108 @default.
- W2765093485 hasRelatedWork W1970096684 @default.
- W2765093485 hasRelatedWork W2075753041 @default.
- W2765093485 hasRelatedWork W2250665747 @default.
- W2765093485 hasRelatedWork W2433210372 @default.
- W2765093485 hasRelatedWork W2742702720 @default.
- W2765093485 hasRelatedWork W2897935372 @default.
- W2765093485 hasRelatedWork W4308734120 @default.
- W2765093485 hasRelatedWork W2607471452 @default.
- W2765093485 hasVolume "5" @default.
- W2765093485 isParatext "false" @default.
- W2765093485 isRetracted "false" @default.
- W2765093485 magId "2765093485" @default.
- W2765093485 workType "article" @default.