A novel multi-level hierarchy optimization algorithm for inner detector speed control

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dc.contributor.authorLiu, Jinze
dc.contributor.authorFeng, Jian
dc.contributor.authorZhang, Huaguang
dc.contributor.authorYang, Shengxiang
dc.date.acceptance2025-02-08
dc.date.accessioned2025-02-18T13:33:56Z
dc.date.available2025-02-18T13:33:56Z
dc.date.issued2025-02-13
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
dc.description.abstractThis paper proposes a novel nature-inspired algorithm called Multi-Level Hierarchy Optimization (MLHO) for solving optimization problems over continuous space. The MLHO algorithm is inspired by the hierarchy of nature, especially the hierarchy of biological populations. The entire algorithm structure is divided into four levels for iterative optimization, and the work of each level is global direction guidance, optimization-seeking task allocation, local optimal exploration, and broad domain exploration. Differential variation strategy and dynamic inertia factor are also designed to solve the problem of decreasing population diversity and slow convergence speed at the late stage of evolution. In order to validate and analyze the performance of MLHO, numerical experiments were conducted on benchmark problems in each dimension of CEC'20. In addition, comparisons with 4 state-of-the-art (SOTA) algorithms are executed. The results show that the performance of MLHO is significantly superior to, or at least comparable to the SOTA algorithms. At the same time, the feasibility and effectiveness of MLHO are also demonstrated for the speed control problem of the pipeline inner detector.
dc.funderOther external funder (please detail below)
dc.funder.otherNational Natural Science Foundation of China
dc.funder.otherRoyal Society International Exchanges Cost Share (with NSFC) Scheme
dc.identifier.citationLiu, J., Feng, J., Zhang, H. and Yang, S. (2025) A novel multi-level hierarchy optimization algorithm for inner detector speed control. Neuralcomputing, 627, 129517
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2025.129715
dc.identifier.urihttps://hdl.handle.net/2086/24811
dc.language.isoen
dc.peerreviewedYes
dc.projectid62173081
dc.projectidIEC\NSFC\201085
dc.publisherElsevier
dc.researchinstitute.instituteDigital Future Institute
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMulti-level hierarchy optimization
dc.subjectAdaptive dynamic programming
dc.subjectOptimum control
dc.subjectMetaheuristic algorithm
dc.subjectPipeline inner detector
dc.subjectSpeed control
dc.titleA novel multi-level hierarchy optimization algorithm for inner detector speed control
dc.typeArticle

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