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...

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...

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...

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...

Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is applied to design a path by the search angle and distance, by which a better path at higher convergence speed and s...

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...

As a novel strategy, Quantum-behaved particles use uncertainty law and a distinct formulation obtained from solving the time-independent Schrodinger differential equation in the delta-potential-well function to update the solution candidates’ positions. In this case, the local attractors as potential solutions between the best solution and the others are introduced to explore the solution space...