A genetic algorithm is one of the most used optimization algorithms. It uses genetic principles like elitism, cross-over, mutation to optimize and it's adaptable to many problems. Basically it ...

Loss of biodiversity is one of the critical challenges faced both by our planet and our species, as many plants and animals have been eradicated from human-dominated landscapes or remain in small ...

This project presents an example of using genetic programming (GP) and machine learning (ML) to perform classification work. Specifically, the iris dataset, which is known to be a testbed for numerous ...

autosomal dominant or autosomal recessive for example A and B blood types in humans show co-dominance (O type is recessive to A and B). genetic disorders. vector diagram showing the potential outcomes ...