Modified Mayfly Algorithm for UAV Path Planning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10251951" target="_blank" >RIV/61989100:27240/22:10251951 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2504-446X/6/5/134" target="_blank" >https://www.mdpi.com/2504-446X/6/5/134</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/drones6050134" target="_blank" >10.3390/drones6050134</a>

Result language

angličtina

Original language name

Modified Mayfly Algorithm for UAV Path Planning

Original language description

The unmanned aerial vehicle (UAV) path planning problem is primarily concerned with avoiding collision with obstacles while determining the best flight path to the target position. This paper first establishes a cost function to transform the UAV route planning issue into an optimization issue that meets the UAV&apos;s feasible path requirements and path safety constraints. Then, this paper introduces a modified Mayfly Algorithm (modMA), which employs an exponent decreasing inertia weight (EDIW) strategy, adaptive Cauchy mutation, and an enhanced crossover operator to effectively search the UAV configuration space and discover the path with the lowest overall cost. Finally, the proposed modMA is evaluated on 26 benchmark functions as well as the UAV route planning problem, and the results demonstrate that it outperforms the other compared algorithms.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Drones

ISSN

2504-446X

e-ISSN

2504-446X

Volume of the periodical

6

Issue of the periodical within the volume

5

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

nestrankovano

UT code for WoS article

000804367200001

EID of the result in the Scopus database

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