Designing optimal mixture proportions has been one the most important challenges in concrete industry. There are several traditional methods to design mixture proportion. Nevertheless, compressive strength is the only objective which is always considered in these methods. According to the importance of controlling projects costs and economic issues, novel approaches are needed to consider the expenditures. One of these new approaches is using heuristic and metaheuristic algorithms. In this investigation, by the virtue of Genetic algorithm (GA), a new model is introduced to design mixture proportion of Grade 60 (compressive strength is 60MPa) zero-slump concrete which considers economic issues. Results indicate that traditional methods can reduce concrete’s cost more than 10 percent and they can be replaced with these novel methods. Hence, it can be possible to minimize the cost of projects.