A1 Journal article (refereed)
A Data-Driven Surrogate-Assisted Evolutionary Algorithm Applied to a Many-Objective Blast Furnace Optimization Problem (2017)


Chugh, T., Chakraborti, N., Sindhya, K., & Jin, Y. (2017). A Data-Driven Surrogate-Assisted Evolutionary Algorithm Applied to a Many-Objective Blast Furnace Optimization Problem. Materials and Manufacturing Processes, 32(10), 1172-1178. https://doi.org/10.1080/10426914.2016.1269923


JYU authors or editors


Publication details

All authors or editorsChugh, Tinkle; Chakraborti, Nirupam; Sindhya, Karthik; Jin, Yaochu

Journal or seriesMaterials and Manufacturing Processes

ISSN1042-6914

eISSN1532-2475

Publication year2017

Volume32

Issue number10

Pages range1172-1178

PublisherTaylor & Francis Inc.

Publication countryUnited Kingdom

Publication languageEnglish

DOIhttps://doi.org/10.1080/10426914.2016.1269923

Publication open accessNot open

Publication channel open access

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/54954


KeywordsoptimisationPareto efficiencyiron industry

Free keywordsblast furnace; ironmaking; metamodeling; multi-objective optimization; model management; data-driven optimization; Pareto optimality


Contributing organizations


Ministry reportingYes

Reporting Year2017

JUFO rating1


Last updated on 2024-08-01 at 20:51