Active queue control aims to improve the overall communication network throughput, while providing lower delay and small packet loss rate. The basic idea is to actively trigger packet dropping (or marking provided by explicit congestion notification (ECN)) before buffer overflow. In this paper, two artificial neural networks (ANN)-based control schemes are proposed for adaptive queue control in...

Heuristic optimization provides a robust and efficient approach for solving complex real-world problems. The focus of this research is on a hybrid method combining two heuristic optimization techniques, genetic algorithms (GA) and particle swarm optimization (PSO), for the global optimization of multimodal functions. Denoted as GA-PSO, this hybrid technique incorporates concepts from GA and PSO...

The current development of manta ray robots is usually based on functional bionics, and there a lack bionic research to enhance the similarity motion posture. To better exploit characteristics bionic, evaluation rule constructed herein by Dynamic Time Warping (DTW) algorithm guide optimization control parameters robot. Central Pattern Generator (CPG) network with time space asymmetry oscillatio...

Wireless Sensor Networks (WSNs) have left an indelible mark on the lives of all by aiding in various sectors such as agriculture, education, manufacturing, monitoring environment, etc. Nevertheless, because wireless existence, sensor node batteries cannot be replaced when deployed a remote or unattended area. Several researches are therefore documented to extend node's survival time. While clus...

Support Vector Regression (SVR) is Support Vector Machine (SVM) is used for regression case. Regression method is one of prediction season method has been commonly used. SVR process requires kernel functions to transform the non-linear inputs into a high dimensional feature space. This research was conducted to predict rainfall in the dry season at 15 weather stations in Indramayu district. The...

Particle swarm optimization has been a popular and common met heuristic algorithm from its genesis time. However, some problems such as premature convergence, weak exploration ability great number of iterations have accompanied with the nature this algorithm. Therefore, in paper we proposed novel classification for particles to organize them different way. This new method which is inspired pres...

The main purpose of using the hybrid evolutionary algorithm is to reach optimal values and achieve goals that traditional methods cannot because there are different computations, each them has advantages capabilities. Therefore, researchers integrate more than one into a form increase ability these algorithms perform computation when working alone. In this paper, we propose new for genetic (GA)...

the main purpose in this paper, to express strong algorithmic optimization in their ability to detect expression target of sar that use in aircraft, plane and satellites to observe the target on the ground. for this purpose,the sar technology and its applications are introduced. previous algorithms used in this field with poor diagnosis and appropriate speed is low, like means and fuzzy and pso...