Genetic Algorithm

Genetic algorithms are computational models that simulate biological evolution to search for optimal solutions through processes resembling natural selection and genetics. Key features include scalability, allowing users to modify the genetic algorithm script in the demo scenes to solve problems or extend logic by inheriting the Abstract GACore class. The package includes three demo scenes: Binary Demo, which uses binary-encoded genomes to find the maximum value for a given binary length; Word Demo, which encodes genomes in characters and evolves strings to match a target of equal length; and TSP Demo, which encodes genomes in decimal to solve the traveling salesman problem by determining the shortest route visiting each city once and returning to the start. Instructions and technical support are available via the package introduction and email contact.