This thesis explores the feasibility of optimising multiple environmental parameters of high-rise buildings at the conceptual phase. This involves inputting the design intent as a parameter and the environmental factors of the site. Although architects are constantly tackling this problem, the project quantifies these parameters and inputs them into a multi-objective genetic algorithm (MOGA). Using concepts such as massing and modularity, the MOGA is able to output an optimised form. Therefore, utilisating environmental parameters to optimise the design in MOGA at a massing stage is effective when compared to the success of the original designs.