Genetic algorithms (GAs) are non-speciï¬c optimization methods that posses a well-deï¬ned architecture and execution flow and are widely used into areas like machine learning and design optimization. Object-oriented frame- work is a known approach for the reuse of application architecture and execu- tion flow aimed to increase speed and quality on software development. Multi- computer environments, such as clusters and grids, are now widespread and available at low cost. The focus of this document is to introduce a framework under development to allow the execution of genetic algorithms with variable population size (GAvaPS) into multi-computer environments.