A hybrid mode membrane computing based algorithm with applications for proton exchange membrane fuel cells

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dc.contributor.authorZhao, Jinhui
dc.contributor.authorZhang, Wei
dc.contributor.authorHu, Tianyu
dc.contributor.authorXu, Ouguan
dc.contributor.authorYang, Shengxiang
dc.contributor.authorZhang, Qichun
dc.date.acceptance2023-06-28
dc.date.accessioned2024-02-19T14:37:06Z
dc.date.available2024-02-19T14:37:06Z
dc.date.issued2023-07-10
dc.descriptionopen access article
dc.description.abstractMembrane computing is a branch of natural computing, which has been extended to solve various optimization problems. A hybrid mode membrane-computing-based algorithm (HMMCA) is proposed in this paper to solve complex unconstrained optimization problems with continuous variables. The algorithmic framework of HMMCA translates from its distributed cell-like membrane structure and communication rule. A non-deterministic evolutionary programming method and two computational rules are applied to enhance the computational performance. In a numerical simulation, 12 benchmark test functions with different variables are used to verify the algorithmic performance. The test results and comparison with three other algorithms illustrate its effectiveness and superiority. Moreover, a case study on a proton exchange membrane fuel cell (PEMFC) system parameter optimization problem is applied to validate its practicability. The results of the simulation and comparison with seven other algorithms demonstrate its practicability.
dc.funderOther external funder (please detail below)
dc.funder.otherZhejiang Provincial Natural Science Foundation of China
dc.funder.otherHangzhou Key Scientific Research Program of China
dc.identifier.citationJ. Zhao, W. Zhang, T. Hu, O. Xu, S. Yang, and Q. Zhang. (2023) A hybrid mode membrane computing based algorithm with applications for proton exchange membrane fuel cells. Mathematics, 11 (14), 3054
dc.identifier.doihttps://doi.org/10.3390/math11143054
dc.identifier.urihttps://hdl.handle.net/2086/23559
dc.language.isoen
dc.peerreviewedYes
dc.projectidLZJWZ23E090001, LGG21E050005
dc.projectid20212013B06
dc.publisherMDPI
dc.researchinstituteInstitute of Artificial Intelligence (IAI)
dc.rightsAttribution 2.0 UK: England & Walesen
dc.rights.urihttp://creativecommons.org/licenses/by/2.0/uk/
dc.subjectmembrane computing
dc.subjectnondeterministic evolutionary programming method
dc.subjectbenchmark functions
dc.subjectproton exchange membrane fuel cell
dc.titleA hybrid mode membrane computing based algorithm with applications for proton exchange membrane fuel cells
dc.typeArticle

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