Figure |. The modified evolutionary simulation workflow with two secondary evaluation mechanisms. The red circles and arrows show the modified stages. The green circles and arrows show the added step to enhance application of evolutionary simulation in design using Wallacei. The grey circles and arrows show the NSGA II algorithm pseudocode. Table I. Simulation parameters. Figure 2. (a) Al-Bahr towers. (b) The view from inside to the outside of Al-Bahr tower. Figure 3. The algorithmic construction of the primitive geometry based on Al-Bahr towers geometry. Figure 4. Illustration of (a) H-M-A process and effects (skin system); (b) algorithmic setup of the skin system. Table 2. Homeostatic mechanism A functions. Table 5. Ablation study results. Figure 6. Graph | shows the ratio of the skin to the entire buildings in each iteration. Test scenario 3 generated slightly less skin on the buildings compare to test scenario |. Graphs 2, 3 and 4 show the test scenario 3 is performing better in generating solutions. studies will be compared to the generated solutions in four ways, (1) morphological illustrations, (2) the percentage of the building surface area that receives more than 2 Kwh/m2 solar radiation, (3) the percentage of the skin that blocks the view from inside to outside and(4) the shadow on the ground (solar radiation analysis were carried out by Ladybug Tools’). Figure 9. The Al-Bahr towers and the selected number of Pareto fronts and their performance measurements. All of the selected candidates are performing better than the Al-Bahr towers.
