Selection Window Optimization
Selection Window Optimization is a methodological framework within the field of evolutionary computation that specifically enables the systematic adjustment of temporal or generational intervals during which selection pressure is applied, thereby differentiating it from broader selection strategies through its focus on optimizing the timing and duration of selective phases to enhance evolutionary dynamics.
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1.4K
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2017–2026
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Annette Michalski, Jüergen Cox, Matthias Mann · Journal of Proteome Research · 2011 · 712 citations · Full text
Life Sciences, Biochemistry, Mass Spectrometric Analysis +16
Entropy-based window selection for detecting dim and small infrared targets
He Deng, Xianping Sun, Maili Liu et al. · Pattern Recognition · 2016 · 106 citations
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Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
742 citations
Henan University of Science and Technology
Luoyang, China
1 h-index
4 publications
52 citations
University of Bergen
Bergen, Norway
1 h-index
2 publications
92 citations
Hacettepe University
Ankara, Türkiye
1 h-index
5 publications
100 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
106 citations

Colorado School of Mines
Golden, United States
1 h-index
1 publications
12 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
1 publications
12 citations
Liverpool John Moores University
Liverpool, United Kingdom
1 h-index
2 publications
62 citations
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