Solar Chimney Power Plant (SCPP) is a sustainable source of power production. A SCCP is a renewable-energy power plant that transforms solar energy into electricity using a high chimney, surrounded by a large collector roof. Two main components of the SCPP are chimney and collector which their geometric parameters, consisting height and radius, play a significant rule in the amount of efficiency and output power of the SCCP. In this paper, a method is proposed to get the best values of such parameters to design a SCPP based on desired amount of efficiency and output power using evolutionary-based meta-modeling, optimization, and innovization techniques. In fact, while multi-objective optimization gives only a limited number of solutions which the designer has to select one of them with specific values of efficiency and output power, innovization on optimization results provides the possibility to approximate geometric parameters of SCPP for a desired amount of efficiency and output power without re-running the optimization process many times. The proposed model consists of three phases: 1) using simulation data, a mathematical model is obtained to get the values of efficiency and power based on the geometric characteristics, 2) a multi-objective optimization is conducted to maximize both objectives, efficiency and output power, 3) using innovization on optimized solutions, mathematical models are obtained to get values of geometric parameters based on desired efficiency and power values. Several experiments are conducted to get the results for each phase. Based on comparing the predicted efficiency and power with desired ones, the results are promising with a low level of error values.