This paper describes an advantageous method for using the capacitor banks in the distribution network, optimally. The aim is to determine the count, location and capacitor values in order to minimize the annual cost resulting from energy losses and capacitor bank’s installation cost. Besides, in the case of having nonlinear loads in the network, by installing capacitors in appropriate locations...

Image segmentation is one of the pivotal steps in image processing due to its enormous application potential medical analysis, data mining, and pattern recognition. In fact, process splitting an into multiple parts order provide detailed information on different aspects image. Traditional techniques suffer from local minima premature convergence issues when exploring complex search spaces. Addi...

The Gravitational Search Algorithm (GSA) is one of the highly regarded population-based algorithms. It has been reported that GSA a powerful global exploration capability but suffers from limitations getting stuck in local optima and slow convergence speed. In order to resolve aforementioned issues, modified version proposed based on levy flight distribution chaotic maps (LCGSA). LCGSA, diversi...

Gravitational search algorithm (GSA) is based on the law of gravity and a mass of interaction. In GSA, the searcher agents are a collection of masses which interact with each other based on the Newtonian gravity and the laws of motion. This paper proposes a new clustered gravitational search algorithm (CGSA) to accelerate the performance of the GSA. Here, the whole population is divided into th...

Developing optimal flocking control procedure is an essential problem in mobile sensor networks (MSNs). Furthermore, finding the parameters such that the sensors can reach to the target in an appropriate time is an important issue. This paper offers an optimization approach based on metaheuristic methods for flocking control in MSNs to follow a target. We develop a non-differentiable optimizati...

In this paper, we propose an improved gravitational search algorithm named GSABC. The algorithm improves gravitational search algorithm (GSA) results improved by using artificial bee colony algorithm (ABC) to solve constrained numerical optimization problems. In GSA, solutions are attracted towards each other by applying gravitational forces, which depending on the masses assigned to the soluti...