Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks the availability of data and continued developments in deep learning. We review applications ML ASO date provide a perspective on state-of-the-art future directions. first introduce conventional current challenges. Next, we fundamentals detail algorithms that have successful ASO. Then, addressin...

A hybrid meta-heuristic optimization method is introduced to efficiently find the optimal shape of concrete gravity dams including dam-water-foundation rock interaction subjected to earthquake loading. The hybrid meta-heuristic optimization method is based on a hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO), which is called GSA-PSO. The operation of GSA-PSO...

The prevalent strategy in the topology optimization phase is to select a subset of members existing in an excessively connected truss, called Ground Structure, such that the overall weight or cost is minimized. Although finding a good topology significantly reduces the overall cost, excessive growth of the size of topology space combined with existence of varied types of design variables challe...

in this paper we develop a new approach for land leveling in order to improve the topology of a large area for irrigation or civil projects. the objective in proposed model is to minimize the total volume of cutting so that technical requirements of land leveling such as suitable slope and standard ratio of cutting to filling and maximum penstock point’s height are considered. we develop a warp...