Crossover

Crossover is a genetic algorithm concept inspired by biological reproduction, where two parent solutions combine to produce new offspring solutions. During crossover, parts of each parent's coding are exchanged, creating new combinations that may inherit beneficial traits from both. This process helps explore the solution space more effectively by promoting diversity and potentially leading to better solutions. Think of it as shuffling genetic material to generate fresh options in problem-solving, aiming to improve the chances of finding an optimal or near-optimal solution over successive generations.