A modified Particle Swarm Optimization (PSO) using Great Deluge Algorithm (GDA) called MPSO for optimization is presented in this paper. In the proposed algorithm, the range for achieved answers is defined that is the same parameter used in the GDA called “water level”. Amount of this range reduces or increases regarding to algorithm’s property being used in terms of minimum or maximum during t...

this paper presents a new nonlinear mathematical model to solve a cell formation problem which assumes that processing time and inter-arrival time of parts are random variables. in this research, cells are defined as a queue system which will be optimized via queuing theory. in this queue system, each machine is assumed as a server and each part as a customer. the grouping of machines and parts...

Wind Power Distributed Generators (WPDGs) are being increasingly placed in the power system due to their several technical and environmental benefits. In this paper, a Modified Particle Swarm Optimizer (MPSO) based method is proposed for placement of multiple WPDGs and capacitors. Monte Carlo Simulation (MCS) based probabilistic load flow, considering uncertainty in load demand and wind generat...

In this article, an optimized E-shaped patch antenna for Bluetooth (2.4–2.484 GHz) and UWB (3.1–10.6 GHz) applications with WLAN (5.15–5.825 GHz) band-notched characteristics is proposed. The dimensions of the E-shaped antenna structure in addition to the position of the slotted C-shape in the ground plane are optimized using recent optimization techniques such as Modified Particle Swarm Optimi...

One of the main problems associated with the authoring of e-courses, for e-learning systems, is that the current composition-approaches do not support 'personalized-learning' or in other words, the current composition approaches fail to take into consideration the difference in individual learning-capabilities and the background knowledge of the individual learners and thus do not provide mater...

This paper presents a new nonlinear mathematical model to solve a cell formation problem which assumes that processing time and inter-arrival time of parts are random variables. In this research, cells are defined as a queue system which will be optimized via queuing theory. In this queue system, each machine is assumed as a server and each part as a customer. The grouping of machines and parts...

Particle swarm optimization has been successfully applied in many research and application areas because of its effectiveness and easy implementation. In this work we extend one of its variants to address multi-modal dynamic optimization problems, the multi-swarm PSO (mPSO) proposed by Blackwell and Branke. The aim of our proposal is to increase the efficiency of this algorithm. To this end, we...

Abstract: The economic dispatch has the objective of generation allocation to the power generators in such a way that the total fuel cost is minimized while all operating constraints are satisfied. The schematic methods assume the cost curves of generators are linear but in case of modern generators this assumption makes inaccuracy in economic dispatch because of valve point loading effect, pro...

A robust, optimized power system stabilizer (PSS) is crucial for oscillation damping, and thus improving electrical network stability. Additionally, real-time testing methods are required to significantly reduce the likelihood of software failure in a real-world setting at user location. This paper presents an Antlion-based proportional integral derivative (PID) PSS improve stability during con...