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Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications - Computational Biology
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Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications - Computational Biology
It discusses the background ideas regarding evolutionary theory, population behavior and computation, and advances to the current topics of evolutionary algorithms, nonlinear modeling, and data-driven analysis.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | October 17, 2026 |
| ISBN13 | 9783032258502 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 385 |
| Dimensions | 150 × 220 × 20 mm · 610 g (Weight (estimated)) |
| Editor | Awasthi, Mukesh Kumar |
| Editor | Singh, Satyvir |
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