I am optimizing energy consumption in a building using the Wallacei component. After analyzing the genome, I noticed that the optimization algorithm only considered a limited number of genes (or design variables). For example, I defined window-to-wall ratio ranges from 10% to 80%, but almost 90% of the genomes for all windows have a ratio of 10%. How can I define the algorithm parameters so that I can have a wider range of results? This means that I want more genes to be considered for the optimization parameters. I have attached one sample of the results, and as you can see, it forms an almost diagonal pattern. I wish to have generations with different results.