paper

Freakwill · May 22, 2024 · b3b8056 · b3b8056
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@@ -41,9 +41,10 @@ As one of the earliest developed optimization algorithms [@holland; @katoch], th
 
 In a typical Python implementation, populations are initially defined as lists of individuals, with each individual represented by a chromosome composed of a list of genes. Creating an individual can be achieved utilizing either the standard library's `array` or the widely-used third-party library [`numpy`](https://numpy.org/) [@numpy]. Following this, evolutionary operators are defined and applied to these structures.
 
-A concise comparison between `pyrimidine` and several popular frameworks provided in \autoref{frameworks} , such as [`DEAP`](https://deap.readthedocs.io/) [@fortin] and [`gaft`](https://github.com/PytLab/gaft), which have significantly influenced the design of `pyrimidine`.
+A concise comparison between `pyrimidine` and several popular frameworks is provided in \autoref{frameworks}, such as [`DEAP`](https://deap.readthedocs.io/) [@fortin] and [`gaft`](https://github.com/PytLab/gaft), which have significantly influenced the design of `pyrimidine`.
 
-: Comparison of the popular genetic algorithm frameworks. []{label="frameworks"}
+
+: Comparison of the popular genetic algorithm frameworks. \label{frameworks}
 
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 | Library   | Design Style      | Versatility | Extensibility | Visualization           |