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...

Heat recovery by combined heat and power (CHP) systems to provide load reduces the cost of microgrid (MG) energy management. However, transfer from CHP consumers is limited due loss pipelines. The amount varies depending on pipeline material environmental characteristics. Here, a day-ahead management CHP-based microgrid, including various types supply electrical thermal loads, performed. In thi...

Minimization of arrival time at scenes plays an essential role to help injured people in emergency events. This can be undertaken through mathematical programming models, called emergency medical services location problem, and solved by conventional exact algorithms or by recent meta-heuristic methods as well. Meta-heuristic algorithms have recently been realized to be more efficient in the sen...

The design and optimization of the analog complementary metal-oxide-semiconductor (CMOS) integrated circuits (ICs) are intrinsically complicated depend heavily on designer’s experience, associated with very long optimization-cycle times. In addition, in order to radiofrequency (RF) CMOS IC work suitably practice, it is necessary perform robustness analyses (RAs) through Simulation Program Integ...

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...

Steer-by-wire is the electrical steering systems on vehicles that are expected with the development of an optimal control system can improve the dynamic performance of the vehicle. This paper aims to optimize the control systems, namely Fuzzy Logic Control (FLC) and the Proportional, Integral and Derivative (PID) control on the vehicle steering system using Imperialist Competitive Algorithm (IC...

Artificial neural network was considered in previous studies for prediction of engine performance and emissions. ICA methodology was inspired in order to optimize the weights of multilayer perceptron (MLP) of artificial neural network so that closer estimation of output results can be achieved. Current paper aimed at prediction of engine power, soot, NOx, CO2, O2, and temperature with the ai...

Suppress of oscillations in power system is an important research issue. This paper deals with a robust controller design using the Imperialist Competitive Algorithm (ICA) optimization technique for Thyristor Controlled Series Compensation (TCSC) to improve the damping of oscillations in power systems. The design problem of TCSC based stabilizer is formulated as an optimization problem where th...

The connection points between MV and LV distribution networks are MV substations. Optimal sitting, sizing and timing of MV substation placement is the major planning problem in MV-LV distribution system planning projects. In this paper the optimal MV substation placement problem is solved using Imperialist Competitive Algorithm (ICA) as a new developed heuristic optimization algorithm. This pro...

Using meta-heuristic approaches to solve reliability and redundancy allocation problems (RRAP) has become attractive for researchers in recent years. In this paper, an optimization model is presented to maximize system reliability and minimize system cost simultaneously for multi-state weighted k-out-of-n systems. The model tends to optimize system design and maintenance activities over functio...