Transmission network expansion planning (TNEP) is a basic part of power network planning that determines where, when and how many new transmission lines should be added to the network. So, the TNEP is an optimizing problem in which the expansion purposes are optimized. The Artificial Intelligence (AI) tools such as Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS), Artificial n...

Power System Stabilizers (PSS) are generally employed to damp electromechanical oscillations by providing auxiliary stabilizing signals to the excitation system of the generators. But it has been found that these Conventional PSS (CPSS) do not provide sufficient damping for inter-area oscillations in multimachine power systems. Thyristor Controlled Series Capacitor (TCSC) has immense potential ...

When musicians compose the harmony, they usually try various possible combinations of the music pitches stored in their memory, which can be considered as a optimization process of adjusting the input (pitches) to obtain the optimal output (perfect harmony). Harmony search draws the inspiration from harmony improvisation, and has gained considerable results in the field of optimization, althoug...

Recently, a popular metaheuristic algorithm called Harmony Search, conceptualized using the musical process of searching for a perfect state of harmony is undergoing faster developments. In this paper, a new variant of harmony search called Dynamic Hybrid Harmony Search algorithm (DHHS) is proposed. The novelty introduced in this algorithm is the division of the whole population into few sets o...

Recent developments in indirect predictive methods have yielded promising solutions for energy consumption modeling. The present study proposes and evaluates a novel integrated methodology estimating the annual thermal demand (DAN), which is considered as an indicator of heating cooling loads buildings. A multilayer perceptron (MLP) neural network optimally trained by symbiotic organism search ...

due to the fact that the error surface of adaptive infinite impulse response (iir) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. in this case, global optimization techniques are required in order to avoid the local minima. harmony search (hs), a musical inspired metaheuristic, is a recently ...

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...

In this paper, we present a novel and efficient method for the design of a sharp, two dimensional (2D) wideband, circularly symmetric, FIR filter. First of all, a sharp one dimensional (1D) infinite precision FIR filter is designed using the Frequency Response Masking (FRM) technique. This filter is converted into a multiplier-less filter by representing it in the Canonic Signed Digit (CSD) spa...

Article history: Received 3 September 2011 Received in revised form 9 December 2012 Accepted 31 December 2012 Available online 16 January 2013

The smart grid has enabled users to control their home energy more effectively and efficiently. A management system (HEM) is a challenging task because this requires the most effective scheduling of intelligent appliances save energy. Here, we presented meta-heuristic-based HEM that integrates Greywolf Algorithm (GWA) Harmony Search Algorithms (HSA). Moreover, fusion initiated on HSA GWA operat...