Current state of package

The project aims to encompass a comprehensive range of crossover and selection functions within a user-friendly island-based framework. The ultimate objective is to facilitate easy integration and utilisation of these genetic operations, streamlining the process for users. Additionally, the project is designed with scalability in mind, with a long-term goal of implementing parallelisation. This would enable more efficient processing and execution of genetic algorithms by distributing tasks across multiple computing resources, thus significantly enhancing performance and speed in evolutionary computing tasks.