Main contribution of this work is improving transient stability by installing Flexible AC Transmission System (FACTS) in power systems. For do this, Unified Power Flow Controller (UPFC) has been selected. Also a novel structure has been suggested to improve classic Harmony Search algorithm and suggested improved Harmony Search (iHS) algorithm. This algorithm has been used to obtain UPFC paramet...

Main contribution of this work is improving transient stability by installing Flexible AC Transmission System (FACTS) in power systems. For do this, Unified Power Flow Controller (UPFC) has been selected. Also a novel structure has been suggested to improve classic Harmony Search algorithm and suggested improved Harmony Search (iHS) algorithm. This algorithm has been used to obtain UPFC paramet...

Bayesian Ying–Yang (BYY) learning has provided a new mechanism that makes parameter learning with automated model selection via maximizing a harmony function on a backward architecture of the BYY system for the Gaussian mixture. However, since there are a large number of local maxima for the harmony function, any local searching algorithm, such as the hard-cut EM algorithm, does not work well. ...

This article focuses on the dynamic parameter adaptation in the harmony search algorithm using Type-1 and interval Type-2 fuzzy logic. In particular, this work focuses on the adaptation of the parameters of the original harmony search algorithm. At present there are several types of algorithms that can solve complex real-world problems with uncertainty management. In this case the proposed meth...

This paper describes a new variant of harmony search algorithmwhich is inspired by awell-known item “elite decision making.” In the new algorithm, the good information captured in the current global best and the second best solutions can be well utilized to generate new solutions, following some probability rule. The generated new solution vector replaces the worst solution in the solution set,...

Mass optimization on shape and sizing with multiple natural frequency constraints are highly nonlinear dynamic optimization problems. Multiple natural frequency constraints normally cause difficult dynamic sensitivity analysis and, in addition, two different types of design variables, nodal coordinates and crosssectional areas, often lead to divergence. Thus, the choice of the appropriated meth...

25 26 27 28 29 30 31 32 33 34 35 36 Article history: Received 22 February 2014 Received in revised form 14 October 2014 Accepted 15 October 2014 Available online xxxx

A digital image stabilization algorithm based on a harmony filter is presented in this paper. The corner points are extracted from the reference image. A new motion estimation method based on diamond search (DS) and partial distortion elimination (PDE) algorithm is proposed in the feature block matching. The global motion parameters are obtained based on the affine transformation model and the ...

Harmony Search (HS) is a new meta-heuristic algorithm imitating the music improvisation process where musicians search for a better state of harmony. In this paper, a new improvisation scheme is proposed that explicitly uses a probabilistic model of candidate solutions stored in the harmony memory. Pitch adjustment uses a probability distribution to mutate a decision variable while random selec...