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Matthew Retchin edited Results.tex
over 9 years ago
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\section{Model
Evaluation} Evaluation and Improvements}
The model was evaluated by measuring the amount of generations. Based on this metric, the basic algorithm is efficient (i.e. not many generations are required to get a solution that is relatively close to optimal). However, the model is not very accurate. A significant tradeoff between efficiency (the number of generations required to reach the optimal solution) and accuracy (F1 score). This model could be improved by introducing sexual reproduction, as in a traditional genetic algorithm. Sexual reproduction would result in an optimal solution appearing sooner because sexual reproduction results in more genetic diversity than asexual reproduction.\cite{reed2003correlation}
