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UAV path planning using segmented cellular evolutionary algorithm

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dc.contributor.authorGezer, Ahmet
dc.contributor.authorTuran, Önder
dc.contributor.authorBaklacıoğlu, Tolga
dc.contributor.orcid0000-0003-0303-4313
dc.contributor.orcid0000-0002-9600-2697
dc.date.accessioned2025-11-13T22:30:25Z
dc.date.issued2016-01-01
dc.identifier.doi10.1504/ijsa.2016.10001093
dc.identifier.endpage222
dc.identifier.issn2050-0467
dc.identifier.issue3
dc.identifier.openalexW2547677292
dc.identifier.startpage222
dc.identifier.urihttps://hdl.handle.net/11421/14392
dc.identifier.urihttps://doi.org/10.1504/ijsa.2016.10001093
dc.identifier.volume2
dc.language.isoen
dc.relation.ispartofInternational Journal of Sustainable Aviation
dc.rightsrestrictedAccess
dc.subjectEvolutionary algorithm
dc.subjectConvergence (economics)
dc.subjectMotion planning
dc.subjectComputer science
dc.subjectPath (computing)
dc.subjectAlgorithm
dc.subjectGenetic algorithm
dc.subjectShortest path problem
dc.subjectMathematical optimization
dc.subjectPopulation
dc.subjectChromosome
dc.subjectMathematics
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subjectTheoretical computer science
dc.subjectRobot
dc.subjectBiology
dc.titleUAV path planning using segmented cellular evolutionary algorithm
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5009953885
local.authorid.openalexA5079427167
local.authorid.openalexA5045422068

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