The purpose of this paper is to propose a design of a skyscraper and its surrounding landscape as well as the infrastructure through multi-objective genetic algorithm solver Wallacei X. It is also a data-based design proposal, as we focus on the actual city context and try to provide an optimized solution for the tower and the city using emergence technology. The research has been carried at three sequences. In the sequence I, we manually simulated the process of a typical genetic algorithm in order to understand the workflow and principles of the algorithm, and how the elements in the algorithm can affect each other as well as the result. In sequence II, I and Paravee had two individual experiments on the given case Aqua Tower. Although we studied the same case, due to our different focus points, we came up with different simulation results which are very interesting to compare. During the last sequence, we combined our ideas and works in sequence II and studied the actual city contexts on our site Chicago, and finally proposed the design of the tower, the landscape and an elevated walking system based on our research.