Academic Journal
Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization.
| Τίτλος: | Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization. |
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| Συγγραφείς: | Lapucci, Matteo, Liuzzi, Giampaolo, Lucidi, Stefano, Mansueto, Pierluigi |
| Πηγή: | Journal of Global Optimization; Feb2026, Vol. 94 Issue 2, p517-538, 22p |
| Θεματικοί όροι: | Constrained optimization, Optimization algorithms, Nonsmooth optimization, Mathematical optimization, Mixed integer linear programming |
| Περίληψη: | In this paper we consider bound-constrained mixed-integer optimization problems where the objective function is differentiable w.r.t. the continuous variables for every configuration of the integer variables. We mainly suggest to exploit derivative information when possible in these scenarios: concretely, we propose an algorithmic framework that carries out local optimization steps, alternating searches along gradient-based and primitive directions. The algorithm is shown to match the convergence properties of a derivative-free counterpart. Most importantly, the results of thorough computational experiments show that the proposed method clearly outperforms not only the derivative-free approach but also the main alternatives available from the literature to be used in the considered setting, both in terms of efficiency and effectiveness. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Global Optimization is the property of Springer Nature 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.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s10898-025-01583-5 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:edb&genre=article&issn=09255001&ISBN=&volume=94&issue=2&date=20260201&spage=517&pages=517-538&title=Journal of Global Optimization&atitle=Combining%20gradient%20information%20and%20primitive%20directions%20for%20high-performance%20Bound-Constrained%20mixed-integer%20optimization.&aulast=Lapucci%2C%20Matteo&id=DOI:10.1007/s10898-025-01583-5 Name: Full Text Finder (for New FTF UI) (ns324271) Category: fullText Text: Full Text Finder MouseOverText: Full Text Finder |
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| Items | – Name: Title Label: Title Group: Ti Data: Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lapucci%2C+Matteo%22">Lapucci, Matteo</searchLink><br /><searchLink fieldCode="AR" term="%22Liuzzi%2C+Giampaolo%22">Liuzzi, Giampaolo</searchLink><br /><searchLink fieldCode="AR" term="%22Lucidi%2C+Stefano%22">Lucidi, Stefano</searchLink><br /><searchLink fieldCode="AR" term="%22Mansueto%2C+Pierluigi%22">Mansueto, Pierluigi</searchLink> – Name: TitleSource Label: Source Group: Src Data: Journal of Global Optimization; Feb2026, Vol. 94 Issue 2, p517-538, 22p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Constrained+optimization%22">Constrained optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Nonsmooth+optimization%22">Nonsmooth optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper we consider bound-constrained mixed-integer optimization problems where the objective function is differentiable w.r.t. the continuous variables for every configuration of the integer variables. We mainly suggest to exploit derivative information when possible in these scenarios: concretely, we propose an algorithmic framework that carries out local optimization steps, alternating searches along gradient-based and primitive directions. The algorithm is shown to match the convergence properties of a derivative-free counterpart. Most importantly, the results of thorough computational experiments show that the proposed method clearly outperforms not only the derivative-free approach but also the main alternatives available from the literature to be used in the considered setting, both in terms of efficiency and effectiveness. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Journal of Global Optimization is the property of Springer Nature 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10898-025-01583-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 517 Subjects: – SubjectFull: Constrained optimization Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Nonsmooth optimization Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Mixed integer linear programming Type: general Titles: – TitleFull: Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lapucci, Matteo – PersonEntity: Name: NameFull: Liuzzi, Giampaolo – PersonEntity: Name: NameFull: Lucidi, Stefano – PersonEntity: Name: NameFull: Mansueto, Pierluigi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09255001 Numbering: – Type: volume Value: 94 – Type: issue Value: 2 Titles: – TitleFull: Journal of Global Optimization Type: main |
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