This paper describes a design of digital hearing aids. This study shows that design of Infinite Impulse Response (IIR) digital filter with Teaching-learning-based-optimization (TLBO) gives good result in digital hearing aids. TLBO algorithm is used to optimize the filter coefficient of IIR filter. The error between desired magnitude response and actual magnitude response will be minimized by th...

This paper presents a new algorithm to optimize the reactive reserve. As the amount of reactive reserves at generating station is a measure of voltage stability. A new approach for scheduling of reactive power control variables for voltage stability enhancement using teaching-learning-based optimization (TLBO) has been developed. An objective function selected for maximization of reactive reser...

Received Mar 17, 2017 Revised Aug 7, 2017 Accepted Sep 1, 2017 This paper discusses economic load dispatch Problem is modeled with nonconvex functions. These are problem are not solvable using a convex optimization techniques. So there is a need for using a heuristic method. Among such methods Teaching and Learning Based Optimization (TLBO) is a recently known algorithm and showed promising res...

Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA) is an analyses technique developed by implementation of metaheuristic algorithms for finding an equilibrium state of a structural system according to the well-known principle of minimum total potential energy. According to this theory, a system is in equilibrium state only if total potential energy of it which means sum of th...

: nowadays, organizations are faced with a multitude of project and investment opportunities. despite the importance of various criteria, complexity of multi-objective models and weakness of optimization algorithms often compelled manager to limit the selection criteria or only suffice to financial objects. in this paper, it is endeavored to extend selection criteria by using an efficient optim...

Cluster analysis has received attention in many scientific fields. The purpose of clustering analysis is to detect group data points, which are close to one another. One of the most widely used techniques for clustering is the K-means algorithm. The performance of K-means algorithm which converges to numerous local minima depends highly on initial cluster centers. In order to overcome local opt...

The present paper formulates the state space modelling of doubly fed induction generator (DFIG) based wind turbine system for the purpose of small-signal stability analysis. The objective of this study is to discuss the various modes of operation of the DFIG system under different operating conditions such as three phase fault and voltage sags with reference to variable wind speed and grid conn...

Disassembly Sequence Planning (DSP) is a challenging NP-hard combinatorial optimization problem. As a new and promising population-based evolutional algorithm, the Teaching–Learning-Based Optimization (TLBO) algorithm has been successfully applied to various research problems. However, TLBO is not capable or effective in DSP optimization problems with discrete solution spaces and complex disass...

Meta-heuristic algorithms are applied in optimization problems in a variety of fields, including engineering, economics, and computer science. In this paper, seven population-based meta-heuristic algorithms are employed for size and geometry optimization of truss structures. These algorithms consist of the Artificial Bee Colony algorithm, Cyclical Parthenogenesis Algorithm, Cuckoo Search algori...