Application of multi-objective optimization algorithms in Continuous Streamflow Modelling of a Mountain Subcatchment

In recent decades, with significant advancements in data science and optimization algorithms, the use of novel methods to solve complex civil engineering problems has increasingly gained attention. One such method is the Giza Pyramid Construction Algorithm (GPC), which, following the construction process of the Giza pyramids, has been applied to optimize complex problems in various fields, including structural engineering. The Giza pyramids, architectural and engineering masterpieces from ancient times, demonstrate the high skill and knowledge of the engineers of that era in the optimal use of resources and mastery of structural dimensions. This strategy, from an algorithmic perspective, can assist contemporary optimization methods and structural analysis. By simulating the construction process of these pyramids, the mentioned algorithm enables civil engineers to provide intelligent and effective solutions in structural design, analysis, and optimization problems. This research investigates the applications of the Giza Pyramid Construction Algorithm in civil engineering optimization and will attempt to show how this algorithm can help improve efficiency, reduce costs, and increase safety in construction projects. Subsequently, the theoretical foundations, methodology, and related case studies of this algorithm will be examined to illustrate its significance and potentials in civil engineering.

کلیدواژه ها:

Parameter calibration ، ARNO ، MOPSO ، NSGA-II ، SPEA-II ، Continuous Simulation ، Mountainous Subcatchment