<p>While creating structural model, it is required that evaluation different and various alternative scenarios to provide sustainable conditions for the environment, and nature besides that structures have characteristics as strength and serviceability. However, this process needs extremely long times together with much effort to find out the desired properties. Concordantly, optimization technologies can be evaluated to use in overcoming the mentioned disadvantages. Regarding this, in this study, reinforced concrete cylindrical wall was dealt for generating an optimum structure by providing cost-minimization besides making possible eco-friendly design conditions. The best structural models were also evaluated according to variable concrete strengths and wall heights in separate cases as single and multi-objective ones. Meanwhile, a metaheuristic method as flower pollination algorithm was handled to detect the best values of structural parameters including total reinforcement and concrete amount, appropriate spacing between reinforcements, etc. Also, a different optimization methodology was applied for reinforced concrete structures in order to evaluate different aims, like both sustainability and economic conditions, besides independent objectives. In this respect, the minimum cost, and CO₂ can be determined together for different structural parameters like concrete compressive strength, wall height, etc. By this regard, multi-objective optimization processes can be utilized to investigate different structural models in order to focus on fundamental purposes like minimum cost, and emission values besides maximum seismic safety of structures.</p>