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Genetic Algorithm-Optimized Background Elimination for Equivalence Ratio Measurement in Hydrocarbon Flames: Validation with Methane-Air Combustion.

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Title: Genetic Algorithm-Optimized Background Elimination for Equivalence Ratio Measurement in Hydrocarbon Flames: Validation with Methane-Air Combustion.
Authors: Wang, Chengyi1, Zhao, Peitao2, Lai, Yufeng3,4, Davies, Matthew3, Willmott, Jon R.3, Zhang, Yang4, Yang, Jiansheng1, jsyang3@gzu.edu.cn
Source: Combustion Science & Technology; 2026, Vol. 198 Issue 9, p2604-2623, 20p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194222374
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Genetic Algorithm-Optimized Background Elimination for Equivalence Ratio Measurement in Hydrocarbon Flames: Validation with Methane-Air Combustion.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194222374
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/00102202.2025.2520791
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 2604
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      – TitleFull: Genetic Algorithm-Optimized Background Elimination for Equivalence Ratio Measurement in Hydrocarbon Flames: Validation with Methane-Air Combustion.
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            NameFull: Wang, Chengyi
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            NameFull: Willmott, Jon R.
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            NameFull: Zhang, Yang
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            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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              Value: 198
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            – TitleFull: Combustion Science & Technology
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