An Enhanced Genetic Algorithm Implementation with Improved Convergence

This is my custom implementation of an enhanced genetic algorithm designed primarily to address and mitigate premature convergence issues in traditional genetic algorithms through advanced crossover operators, mutation mechanisms, and selection strategies.

Multi-Population Genetic Algorithm for Function Optimization

MPGA serves as an advanced alternative to standard Genetic Algorithms, particularly effective in mitigating premature convergence issues through parallel subpopulation evolution and adaptive parameter control.