Presenting structural damage detection problem as an inverse model-updating approach is one of the well-known methods which can reach to informative features of damages. This paper proposes a model-based method for fault prognosis in engineering structures. A new damage-sensitive cost function is suggested by employing the main concepts of the Modal Assurance Criterion (MAC) on the first severa...

This paper demonstrates solving the flexible flow shop scheduling problem (FFSP) with considering limited waiting time constraint, sequence dependent setup times and different ready time to minimize maximum completion time (i.e. makespan). Since the problem studied is NP-hard, metaheuristic algorithms are proper to solve this class of problems. Hence, in this paper, a novel imperialist competit...

The steady-state stability limit and the system positive damping can be improved by conventional Power System Stabilizer (PSS). However, in order to have abilities such as the online tuning and optimal real-time damping in the entire operating range, robust design of PSS in required. A novel robust PSS design using Artificial Neural Network (ANN) and Imperialist Competitive Algorithm (ICA) for ...

The human has always been to up to the best in everything, And this perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables to find the best acceptable answer to the limitations in a problem, so that the objective function is a minimum or a maximum. Metaheuristic algorithms are one of inaccurate optimization methods that inspired by ...

Imperialist Competitive Algorithm (ICA) is a new population-based evolutionary algorithm. It divides its population of solutions into several sub-populations, and then searches for the optimal solution through two operations: assimilation and competition. The assimilation operation moves each non-best solution (called colony) in a sub-population toward the best solution (called imperialist) in ...

In this paper a new evolutionary computing method based on imperialist competitive algorithm (ICA) is used for tuning the parameters of a PID controller which is applied in a load frequency control system (LFC) in a multi area electric power system. If a large power imbalance is suddenly happened in a multi area power electric system, generation units and also consumer sides will be affected by...

With the daily expansion of global energy consumption, developing power grids is uttermost importance. However, building a new transmission line costly and time-consuming, so utilizing same lines with possible higher capacity very cost-effective. In this regard, to increase lines, flexible alternating current system (FACTS) has been widely used in recent years by industrialized countries. One e...

In this paper, a novel high-performance and low-cost operator is proposed for the imperialist competitive algorithm (ICA). The operator, inspired by sociopolitical movement called color revolution that has recently arisen in some countries, referred to as (CRO). improved ICA with CRO, denoted ICACRO, significantly more efficient than ICA. On other hand, cloud computing service composition high-...

Coronary artery disease (CAD) is currently a prevalent disease from which many people suffer. Early detection and treatment could reduce the risk of heart attack. Currently, the golden standard for the diagnosis of CAD is angiography, which is an invasive procedure. In this article, we propose an algorithm that uses data mining techniques, a fuzzy expert system, and the imperialist competitive ...