Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy.
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| Title: | Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy. |
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| Authors: | Zhenshuai Wan1,2 wanzhenshuai@haut.edu.cn, Longwang Yue2, Yanfeng Wang2, Pu Zhao2 |
| Source: | Journal of Mechanical Engineering / Strojniški Vestnik. 2024, Vol. 70 Issue 11/12, p531-542. 12p. |
| Subjects: | Bee behavior, Division of labor, Bees, Nectar, Problem solving, Pollinators |
| Abstract: | This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Mechanical Engineering / Strojniški Vestnik is the property of University of Ljubljana, Faculty of Mechanical Engineering, Journal of Mechanical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 182139080 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhenshuai+Wan%22">Zhenshuai Wan</searchLink><relatesTo>1,2</relatesTo><i> wanzhenshuai@haut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Longwang+Yue%22">Longwang Yue</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Yanfeng+Wang%22">Yanfeng Wang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Pu+Zhao%22">Pu Zhao</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Engineering+%2F+Strojniški+Vestnik%22">Journal of Mechanical Engineering / Strojniški Vestnik</searchLink>. 2024, Vol. 70 Issue 11/12, p531-542. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bee+behavior%22">Bee behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Division+of+labor%22">Division of labor</searchLink><br /><searchLink fieldCode="DE" term="%22Bees%22">Bees</searchLink><br /><searchLink fieldCode="DE" term="%22Nectar%22">Nectar</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Pollinators%22">Pollinators</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Mechanical Engineering / Strojniški Vestnik is the property of University of Ljubljana, Faculty of Mechanical Engineering, Journal of Mechanical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=182139080 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5545/sv-jme.2024.1047 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 531 Subjects: – SubjectFull: Bee behavior Type: general – SubjectFull: Division of labor Type: general – SubjectFull: Bees Type: general – SubjectFull: Nectar Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Pollinators Type: general Titles: – TitleFull: Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhenshuai Wan – PersonEntity: Name: NameFull: Longwang Yue – PersonEntity: Name: NameFull: Yanfeng Wang – PersonEntity: Name: NameFull: Pu Zhao IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00392480 Numbering: – Type: volume Value: 70 – Type: issue Value: 11/12 Titles: – TitleFull: Journal of Mechanical Engineering / Strojniški Vestnik Type: main |
| ResultId | 1 |
