An open-source parallel algorithm of Bayesian-based global search with Hooke--Jeeves local refinement for multi-objective optimization problems.

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Title: An open-source parallel algorithm of Bayesian-based global search with Hooke--Jeeves local refinement for multi-objective optimization problems.
Authors: Litvinas, Linas1 linas.litvinas@mif.vu.lt
Source: Nonlinear Analysis: Modeling & Control. 2026, Vol. 31 Issue 2, p463-476. 14p.
Database: Mathematics Source
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An: 193232916
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PubType: Academic Journal
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  Data: An open-source parallel algorithm of Bayesian-based global search with Hooke--Jeeves local refinement for multi-objective optimization problems.
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  Data: <searchLink fieldCode="JN" term="%22Nonlinear+Analysis%3A+Modeling+%26+Control%22">Nonlinear Analysis: Modeling & Control</searchLink>. 2026, Vol. 31 Issue 2, p463-476. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=193232916
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        Value: 10.15388/namc.2026.31.45618
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 463
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      – TitleFull: An open-source parallel algorithm of Bayesian-based global search with Hooke--Jeeves local refinement for multi-objective optimization problems.
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              Text: 2026
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              Y: 2026
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            – TitleFull: Nonlinear Analysis: Modeling & Control
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