A combination of human and machine assessments responding to manual and microcontroller-operated indoor validating simulation improves the generalizability. The method for investigation is to simulate a multiobjective optimization using NSGA-II considering visual and thermal comfort along with energy usage and view of the outside. This research aims to optimize sunlight admission and maintain indoor comfort while minimizing energy consumption. In a semi-tropical climate with a green environment such as Sydney, there is a radical demand to extend windows providing views. Building penetrations are the most-potent elements providing daylight and moderating the lighting energy consumption and affecting indoor comfort and consequent energy usage.
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