How to use renewable sources has been a great problem for many years. Researchers have invented and developed Microgrids, flexible networks with a central control system; nevertheless, for installing renewable sources on them there is still questions. As a result, researchers started to use different algorithms in order to solve problems and find best answers for electrical functions. One of th...

in this paper, we present a new method to determine the optimal location and parameter settings of unifiedpower flow controller (upfc) for removing voltage violations and transmission lines overloading. upfc isconsidered as the most powerful member of the facts devices, that it can control shunt and series power flow.this option gives to upfc the power to control the voltage profile and transmi...

In graph theory, Graph Colouring Problem (GCP) is an assignment of colours to vertices of any given graph such that the colours on adjacent vertices are different. The GCP is known to be an optimization and NP-hard problem. Imperialist Competitive Algorithm (ICA) is a meta-heuristic optimization and stochastic search strategy which is inspired from socio-political phenomenon of imperialistic co...

The novel Imperialist Competitive Algorithm (ICA) that was recently introduced has a good performance in some optimization problems. The ICA inspired by socio-political process of imperialistic competition of human being in the real world. In this paper, a new Imperialist Competitive Algorithm with Adaptive Radius of Colonies movement (ICAR) is proposed. In the proposed algorithm, for an effect...

Data clustering is one of the most important tasks of data mining. This paper aims to describe an integrated data clustering method based on Imperialist Competitive Algorithm (ICA) and K-Harmonic Means (KHM) algorithm. The proposed method is called ICA-KHM. KHM is a well-known clustering method and its main drawback is to converge to local optimums. Imperialist competitive algorithm is an evolu...

In engineering, flood routing is an important technique necessary for the solution of a floodcontrol problem and for the satisfactory operation of a flood-prediction service. A simple conceptual model like the Muskingum model is very effective for the flood routing process. One challenge in application of the Muskingum model is that its parameters cannot be measured physically. In this article ...

this paper presents an accurate differential global positioning system (dgps) using multi-layered neural networks (nns) based on the back propagation (bp) and imperialistic competition algorithm (ica) in order to predict the dgps corrections for accurate positioning. simulation results allowed us to optimize the nn performance in term of residual mean square error. we compare results obtained b...

Finding cluster head (CH) is an important issue in WSN. A new optimization algorithm Imperialist Competitive Algorithm (ICA) has been introduced recently, inspired by socio-political process of imperialistic competition. We use ICA for CH selection according to the communication energy (CE) cost. We demonstrate that ICA is an effective method for selection of CH in WSN. ICA either finds one or ...

Transformer incipient fault diagnostic method based on dissolved gas analysis (DGA) using Artificial Neural Networks (ANN) and Neural-Imperialistic Competitive Algorithm (Nero-ICA) hybrid approach is simulated in this paper and the results has been compared with IEC standard. Firstly, dissolved gas analysis method and IEC DGA standard has been presented. In the second step, application of ANN a...

In this paper, a hybrid meta-heuristic algorithm, based on imperialistic competition algorithm (ICA), harmony search (HS), and simulated annealing (SA) is presented. The body of the proposed hybrid algorithm is based on ICA. The proposed hybrid algorithm inherits the advantages of the process of harmony creation in HS algorithm to improve the exploitation phase of the ICA algorithm. In addition...