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Engineering Optimization Volume 55, 2023 - Issue 12
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Research Article

A user-guided innovization-based evolutionary algorithm framework for practical multi-objective optimization problems

Abhiroop GhoshMichigan State University, East Lansing, MI, USACorrespondence[email protected]
[email protected]
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Kalyanmoy DebMichigan State University, East Lansing, MI, USAORCID Iconhttps://orcid.org/0000-0001-7402-9939View further author information
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Erik GoodmanMichigan State University, East Lansing, MI, USAORCID Iconhttps://orcid.org/0000-0002-2419-0692View further author information
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Ronald AverillMichigan State University, East Lansing, MI, USAView further author information
Pages 2084-2096 | Received 26 Feb 2022, Accepted 30 May 2022, Published online: 24 Nov 2022

Citations (3)

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Read on this site (1)

Wenyu Wang, Taimoor Akhtar & Christine A. Shoemaker. (2023) Efficient multi-objective optimization through parallel surrogate-assisted local search with tabu mechanism and asynchronous option. Engineering Optimization 0:0, pages 1-17.
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Articles from other publishers (2)

Sheng-Xue He & Yun-Ting Cui. (2023) Multiscale medalist learning algorithm and its application in engineering. Acta Mechanica.
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Abhiroop Ghosh, Kalyanmoy Deb, Ronald Averill & Erik Goodman. 2023. Evolutionary Multi-Criterion Optimization. Evolutionary Multi-Criterion Optimization 606 619 .

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