عنوان مقاله [English]
In recent years, the complexity of project implementation, the competitive business environment, and the limited resources of organizations have made it more important to pay attention to project management in achieving project goals. Therefore, in the implementation stages of projects, employers seek to increase quality, reduce time and cost of implementation and risk, which are the main goals of projects. In this study, optimization between components of the survival pyramid including time, cost, quality and risk in construction projects has been performed. A case study has been conducted on the Qucham earth dam. For this purpose, six super-innovative optimization algorithms have been used, which are three classic algorithms (genetics, forbidden search and simulated refrigeration) and three new algorithms (butterfly, Cyclic Parthenogenesis and Haris Hawks). In the four modes, each component of the survival pyramid is optimized separately, and finally all four modes are examined simultaneously. Target coding and optimization algorithms have been coded in MATLAB software. The results indicate the proper performance of the genetic algorithm. Also, in optimizing the quality index, only the genetic algorithm has given the best optimal answer and in compound optimization, taking into account all the indicators at the same time, Genetic Algorithms and Haris Hawks have provided the best answer.