Carbon monoxide (CO) is one of the main air pollutants produced by incomplete combustion process particularly in the urban areas and exposing to the CO polluted environments will definitely affect human health. Therefore, providing a comprehensive computer modeling based on the current and previous related information for further study, analyses and decision making is of paramount importance. T...

System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including meta-heuristics. Meanwhile, the development of meta-heuristics has been an active research field of the reliability optimization wherein the redundanc...

the imperialist competitive algorithm (ica) that was recently introduced has shown its good performance in optimization problems. this algorithm is inspired by competition mechanism among imperialists and colonies, in contrast to evolutionary algorithms. this paper presents optimization of bead geometry in welding process using of ica. therefore, two case studies from literature are presented t...

The importance of economics for owning hybrid green power systems (HGPS) warrants development of optimization methodologies with more effective search capabilities for determination of global minimum for costs. The objective of this study is to present several newly developed enhancements for imperialistic competitive algorithm (ICA) for design optimization of an autonomous HGPS with considerat...

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...

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 diversity combining at the receiver, the output signal-to-noise ratio (SNR) is often maximized by using the maximal ratio combining (MRC) provided that the channel is perfectly estimated at the receiver. However, channel estimation is rarely perfect in practice, which results in deteriorating the system performance. In this paper, an imperialistic competitive algorithm (ICA) is proposed and ...

Selecting approaches with appropriate accuracy and suitable speed for the purpose of making decision is one of the managers’ challenges. Also investing decision is one of the main decisions of managers and it can be referred to securities transaction in financial markets which is one of the investments approaches. When some assets and barriers of real world have been considered, optimization of...

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...