Genetic Algorithm setup details. A black dot indicates that a variable was optimized within its specified minimum and maximum values (as outlined in Table 1), whereas a white dot signifies that the variable remained constant. The experiment subsets are categorized as follows: 1) megafauna impact; 2) megafauna impact combined with natural fires; and 3) megafauna impact, natural fires, and human-induced fires.
<p>Genetic Algorithm setup details. A black dot indicates that a variable was optimized within its specified minimum and maximum values (as outlined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328218#pone.0328218.t001" target="_blank">Tab...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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| الملخص: | <p>Genetic Algorithm setup details. A black dot indicates that a variable was optimized within its specified minimum and maximum values (as outlined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328218#pone.0328218.t001" target="_blank">Table 1</a>), whereas a white dot signifies that the variable remained constant. The experiment subsets are categorized as follows: 1) megafauna impact; 2) megafauna impact combined with natural fires; and 3) megafauna impact, natural fires, and human-induced fires.</p> |
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