2021
DOI: 10.1007/978-3-030-84522-3_8
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Evolutionary Algorithms for Applications of Biological Networks: A Review

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Cited by 3 publications
(1 citation statement)
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“…100 global, SciPy101 global and local and user-defined optimization algorithms can be used. Though not the focus of this study, extensive work has been done to examine the best optimization algorithms for biological-based networks [102][103][104]. The selected optimization method changes the intrinsic rate coefficient values while minimizing a least squares loss function incorporating experimental data.…”
mentioning
confidence: 99%
“…100 global, SciPy101 global and local and user-defined optimization algorithms can be used. Though not the focus of this study, extensive work has been done to examine the best optimization algorithms for biological-based networks [102][103][104]. The selected optimization method changes the intrinsic rate coefficient values while minimizing a least squares loss function incorporating experimental data.…”
mentioning
confidence: 99%