in this paper, an efficient and comprehensive hybrid intelligent technique for the optimal placement of phasor measurement units (pmus) is proposed to minimize the number of pmu installation subjected to full network observability. three main purposes of pmus output synchronous measurements are monitoring, control, and protection of power system. we have combined binary imperialistic competitio...

In this paper, an efficient and comprehensive hybrid intelligent technique for the optimal placement of phasor measurement units (PMUs) is proposed to minimize the number of PMU installation subjected to full network observability. Three main purposes of PMUs output synchronous measurements are monitoring, control, and protection of power system. We have combined Binary Imperialistic Competitio...

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...

In this paper, a method for extracting edges from Imperialistic competition evolutionary algorithm is used. The edges of this method are obtained in two distinct ways: The first method of imperialistic competitive algorithm for optimizing the parameters of a decision threshold. The method is useful to derive the standard Sobel edge operator and improved Sobel operator productivity. The second m...

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...

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 ...

In this paper we re-call a recently developed meta heuristic optimization algorithm based on socio-political process of imperialistic competition. This Colonial Competitive Algorithm (CCA) has shown its efficient capability in comparison to convenient optimization algorithms like GA, PSO. In this study we investigate the synthesis problem of unequally linear space antenna using CCA and show the...

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...

Unit Commitment is large scale short-term optimization problem, in which main objective is to schedule generation to minimize the total fuel cost, subjected to large number of constraints that must be satisfied. In this paper unit commitment problem is solved by using a new evolutionary algorithm known as imperialistic algorithm. In ICA the initial populations individuals (countries) are the co...