In this study, a new meta-heuristic algorithm called teaching-learning-based optimization (TLBO) is used for the size and shape optimization of structures. The TLBO algorithm is based on the effect of the influence of a teacher on the output of learners in a class. The cross-sectional areas of the bar element and the nodal coordinates of the structural system are the design variables for size a...

Abstract— In our present work, we propose a nature inspired population based speech enhancement technique to find the dynamic threshold value using Teaching-Learning Based Optimization (TLBO) algorithm by using shift invariant property of dual tree complex wavelet transform (DT-CWT). The performance of these proposed methods are evaluated in terms of Perceptual Evaluation of Speech Quality (PES...

This paper focuses on the optimal power flow solution and the enhancement of the performance of a power system network. The paper presents a secured optimal power flow solution by integrating Thyristor controlled series compensator (TCSC) with the optimization model developed under overload condition. The Teaching Learning Based Optimization (TLBO) has been implemented here. Recently, the oppos...

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...

background: the purposes of this study were to develop a problem-based learning program for nursing student’s education and to evaluate the program after its implementation. methods: an intervention study carried out on 27 third year undergraduate nursing students in the nursing and midwifery faculty of kashan university of medical sciences. problem-based learning method was used for one group ...

Optimization is necessary for finding appropriate solutions to a range of real life problems. Some meta-heuristic techniques, especially population-based techniques have become popular and are widely used. This paper presents a survey on a select few including genetic algorithms, ant colony optimization, particle swarm optimization and artificial bee algorithm. Additionally, the survey is exten...