The genetic algorithm with search area adaptation (GSA) has a capacity for adapting to the structure of solution space and controlling the tradeoff balance between global and local searches, even if we do not adjust the parameters of the genetic algorithm (GA), such as crossover and/or mutation rates. But, GSA needs the crossover operator that has ability for characteristic inheritance ratio co...

Multi objective optimization is a promising field which is increasingly being encountered in many areas worldwide. Various metaheuristic techniques such as differential evolution (DE), genetic algorithm (GA), gravitational search algorithm (GSA), and particle swarm optimization (PSO) have been used to solve Multi objective problems. Various multiobjective evolutionary algorithms have been devel...

In Spain, the actual wind power capacity nearly reaches 20000 MW, what corresponds to a 16 % of the total capacity available to supply the electricity demand [1]. The amount of wind energy produced in the Spanish electric market has increased due to the construction of wind farms and to the improvement in their availability [2]. This improvement, is obtained by the analysis and continuous impro...

<p>Image <span>encryption enables users to safely transmit digital photographs via a wireless medium while maintaining enhanced anonymity and validity. Numerous studies are being conducted strengthen picture encryption systems. Elliptical curve cryptography (ECC) is an effective tool for transferring images recovering them at the receiver end in asymmetric cryptosystems. This method...

Linear constraint minimum variance (LCMV) is one of the adaptive beamforming techniques that is commonly applied to cancel interfering signals and steer or produce a strong beam to the desired signal through its computed weight vectors. However, weights computed by LCMV usually are not able to form the radiation beam towards the target user precisely and not good enough to reduce the interferen...

extension of inter-turn fault in windings of pmsm can damage all parts of electrical systems, and in some cases in sensitive applications may lead to irreparable events. identification of such small faults at incipient steps can be so helpful to protect entire part of electrical system. in this paper, intelligent protection system is designed which is made by two major parts. in the first part ...

<span lang="EN-US">This paper proposes a gravitational search algorithm (GSA) to allocate the thyristor-controlled series compensator (TCSC) incorporation with issue of reactive power management. The aim using TCSC units in this study is minimize active and losses. Reserve beyond thermal border, enhance voltage profile increase transmission-lines flow while continuing whole generation cos...

In this paper, a new Multi-Layer Perceptron Neural Network (MLP NN) classifier is proposed for classifying sonar targets and non-targets from the acoustic backscattered signals. Besides capabilities of MLP NNs, it uses Back Propagation (BP) Gradient Descent (GD) training; therefore, NNs face with not only impertinent classification accuracy but also getting stuck in local minima as well low-con...

Texture image classification is an important topic in many applications in machine vision and image analysis. Texture feature extracted from the original texture image by using "Tuned" mask is one of the simplest and most effective methods. However, hill climbing based training methods could not acquire the satisfying mask at a time; on the other hand, some commonly used evolutionary algorithms...