Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications

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dc.contributor.authorOrozco Rosas, Ulises
dc.contributor.authorPicos, Kenia
dc.contributor.authorMontiel, Oscar
dc.contributor.authorCastillo, Oscar
dc.date.accessioned2024-02-26T18:54:30Z
dc.date.available2024-02-26T18:54:30Z
dc.date.issued2021-03
dc.description.abstractThis work presents a graphics processing unit (GPU) accelerated membrane evolutionary artificial potential field (MemEAPF) algorithm implementation for mobile robot path planning. Three different implementations are compared to show the performance, effectiveness, and efficiency of the MemEAPF algorithm. Simulation results for the three different implementations of the MemEAPF algorithm, a sequential implementation on CPU, a parallel implementation on CPU using the open multi-processing (OpenMP) application programming interface, and the parallel implementation on GPU using the compute unified device architecture (CUDA) are provided to validate the comparative and analysis. Based on the obtained results, we can conclude that the GPU implementation is a powerful way to accelerate the MemEAPF algorithm because the path planning problem in this work has been stated as a data-parallel problem.es_ES
dc.description.editionSpringer, Chames_ES
dc.identifier.citationOrozco-Rosas, U., Picos, K., Montiel, O., Castillo, O. (2021). GPU Accelerated Membrane Evolutionary Artificial Potential Field for Mobile Robot Path Planning. In: Castillo, O., Melin, P. (eds) Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications. Studies in Computational Intelligence, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-68776-2_13es_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-030-68776-2_13
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/1747
dc.language.isoen_USes_ES
dc.publisher.editorialSpringer Linkes_ES
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectMembrane computinges_ES
dc.subjectGenetic algorithmses_ES
dc.subjectArtificial potential fieldes_ES
dc.subjectPath planninges_ES
dc.subjectMobile robotses_ES
dc.subjectGraphics processing unites_ES
dc.subject.sedeCampus Tijuanaes_ES
dc.titleFuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applicationses_ES
dc.title.chapterGPU Accelerated Membrane Evolutionary Artificial Potential Field for Mobile Robot Path Planninges_ES
dc.typeBook chapteres_ES

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