Soccer Team Formation Using Genetic Algorithm

Description: This project aims to optimize soccer team formations using a Genetic Algorithm (GA). The goal was to form the best team based on player skills and positions, considering constraints like player attributes and team balance.

Technologies Used: Python, Genetic Algorithm, Numpy, Pandas

Highlights:

Experimented with different population sizes, mutation rates, and crossover strategies.
Implemented a fitness function to evaluate the team performance.
Conducted multiple tests to find optimal team formations.

GitHub Link: See Project on GitHub

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