In this paper newly developed teaching-learning based optimization (TLBO) algorithm is applied for designing band pass (BP) and band stop (BS) digital IIR filters. TLBO is heuristic algorithm based on the social phenomenon of teaching-learning process. The effectiveness of purposed algorithm is validated by designing the BP and BS filters by approximating the magnitude response with Lp-norm err...

In this paper newly developed teaching-learning based optimization (TLBO) algorithm is applied for designing band pass (BP) and band stop (BS) digital IIR filters. TLBO is heuristic algorithm based on the social phenomenon of teaching-learning process. The effectiveness of purposed algorithm is validated by designing the BP and BS filters by approximating the magnitude response with Lp-norm err...

In this paper newly developed teaching-learning based optimization (TLBO) algorithm is applied for designing band pass (BP) and band stop (BS) digital IIR filters. TLBO is heuristic algorithm based on the social phenomenon of teaching-learning process. The effectiveness of purposed algorithm is validated by designing the BP and BS filters by approximating the magnitude response with Lp-norm err...

In this paper newly developed teaching-learning based optimization (TLBO) algorithm is applied for designing band pass (BP) and band stop (BS) digital IIR filters. TLBO is heuristic algorithm based on the social phenomenon of teaching-learning process. The effectiveness of purposed algorithm is validated by designing the BP and BS filters by approximating the magnitude response with Lp-norm err...

The Teaching-Learning-Based Optimization (TLBO) algorithm is a novel heuristic method that is inspired by the philosophy of teaching and learning in a class. In the “Teacher Phase” of the original TLBO algorithm, all learners are combined in one group and learn only from the teacher, which quickly leads to declining population diversity. Utilizing fuzzy K-means clustering to objectively divide ...

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...

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer sett...

Reactive power planning is one of the most challenging problem for efficient and source operation of an interconnected power network. It requires effective and optimum co-ordination of all the reactive power sources present in the network. Recently, Teaching Learning Based Optimization (TLBO) algorithm is evolved and finds its application in the field of engineering optimization. In the propose...

This paper deals with the design of a novel fuzzy proportional–integral–derivative (PID) controller for automatic generation control (AGC) of a two unequal area interconnected thermal system. For the first time teaching–learning based optimization (TLBO) algorithm is applied in this area to obtain the parameters of the proposed fuzzy-PID controller. The design problem is formulated as an optimi...

This study aims to empirically analyze teaching-learning-based optimization (TLBO) and machine learning algorithms using k-means fuzzy c-means (FCM) for their individual performance evaluation in terms of clustering classification. In the first phase, (k-means FCM) were employed independently accuracy was evaluated different computational measures. During second non-clustered data obtained from...