In this study, to enhance the optimization process, especially in the structural engineering field two well-known algorithms are merged together in order to achieve an improved hybrid algorithm. These two algorithms are Teaching-Learning Based Optimization (TLBO) and Harmony Search (HS) which have been used by most researchers in varied fields of science. The hybridized algorithm is called A Di...

The main aim of the project is to develop a new efficient optimization method, called „Teaching–Learning-Based Optimization (TLBO)‟, for the optimization of mechanical design problems. The process of TLBO is divided into two parts. The first part consists of the „Teacher Phase‟ and the second part consists of the „Learner Phase‟. „Teacher Phase‟ means learning from the teacher and „Learner Phas...

background: considering the assumptions of cognitive load theory and using its reduction and optimization strategies in the design and development of instructional content is one of the main requirements for achieving effective learning. this study examined the effectiveness of instructional multimedia based on reducing the extraneous cognitive load in english language learning among nursing st...

Abstract For the design of wind turbines, airfoil optimization is widely required as operation efficiency turbines closely dependent on aerodynamic performance, where accuracy method great importance. In this paper, a machine learning-based algorithm proposed to improve performance. A low-speed NACA0012 selected original for optimization. The class-shape-transformation (CST) used construct geom...