Dynamic Allocation of Data-Objects in the Web, Using Self-tuning Genetic Algorithms

2004 ◽  
pp. 376-384
Author(s):  
Joaquín Pérez O. ◽  
Rodolfo A. Pazos R. ◽  
Graciela Mora O. ◽  
Guadalupe Castilla V. ◽  
José A. Martínez ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Dynamic Allocation ◽  
Self Tuning ◽  
Data Objects ◽  
The Web

Adaptive and Scalable Allocation of Data-Objects in the Web

2003 ◽  
pp. 134-143 ◽  
Author(s):  
Joaquín Pérez O. ◽  
Rodolfo A. Pazos R. ◽  
David Romero ◽  
René Santaolaya S. ◽  
Guillermo Rodriguez O. ◽  
...  
Keyword(s):  
Data Objects ◽  
The Web

Dynamic Allocation of Radio Frequency in the Battlefield Environment

2012 ◽  
Vol 197 ◽  
pp. 496-501 ◽  
Author(s):  
Jing Xue Liu ◽  
Zhi Bo Li ◽  
Hong Li
Keyword(s):  
Genetic Algorithms ◽  
Radio Frequency ◽  
High Efficiency ◽  
Simulation Experiment ◽  
Mathematic Model ◽  
Spectrum Management ◽  
Search Algorithms ◽  
Dynamic Allocation ◽  
Set Up ◽  
Battlefield Environment

Dynamic allocation of Radio Frequency (Hereafter called “RF”) is critical in the battlefield spectrum management. The article analyzes the conventional method of RF dynamic allocation in the battlefield environment, and set up the mathematic model of the RF dynamic allocation by using the results of spectrum detected in battlefield. It designs the algorithms with the combination of Genetic Algorithms and Tabu Search Algorithms. The simulation experiment proves the high efficiency of hybrid algorithms and it suit for solving the RF dynamic allocation problem in the battlefield environment.

scholarly journals Genetic Algorithm-Based Tuning of Backstepping Controller for a Quadrotor-Type Unmanned Aerial Vehicle

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1735
Author(s):  
Omar Rodríguez-Abreo ◽  
Juan Manuel Garcia-Guendulain ◽  
Rodrigo Hernández-Alvarado ◽  
Alejandro Flores Rangel ◽  
Carlos Fuentes-Silva
Keyword(s):  
Genetic Algorithms ◽  
Unmanned Aerial Vehicle ◽  
Control Technique ◽  
Design Parameters ◽  
System Response ◽  
Control Law ◽  
Self Tuning ◽  
Aerial Vehicle ◽  
Design Requirements ◽  
Backstepping Controller

Backstepping is a control technique based on Lyapunov’s theory that has been successfully implemented in the control of motors and robots by several nonlinear methods. However, there are no standardized methods for tuning control gains (unlike the PIDs). This paper shows the tuning gains of the backstepping controller, using Genetic Algorithms (GA), for an Unmanned Aerial Vehicle (UAV), quadrotor type, designed for autonomous trajectory tracking. First, a dynamic model of the vehicle is obtained through the Newton‒Euler methodology. Then, the control law is obtained, and self-tuning is performed, through which we can obtain suitable values of the gains in order to achieve the design requirements. In this work, the establishment time and maximum impulse are considered as such. The tuning and simulations of the system response were performed using the MATLAB-Simulink environment, obtaining as a result the compliance of the design parameters and the correct tracking of different trajectories. The results show that self-tuning by means of genetic algorithms satisfactorily adjusts for the gains of a backstepping controller applied to a quadrotor and allows for the implementation of a control system that responds appropriately to errors of different magnitude.

Adaptive Allocation of Data-Objects in the Web Using Neural Networks

2003 ◽  
pp. 154-164 ◽  
Author(s):  
Joaquin Pérez O. ◽  
Rodolfo A. Pazos R. ◽  
Hector J. Fraire H. ◽  
Laura Cruz R. ◽  
Johnatan E. Pecero S.
Keyword(s):  
Neural Networks ◽  
Adaptive Allocation ◽  
Data Objects ◽  
The Web

Dynamic Load Balancing Using Honey Bee Algorithm

2021 ◽  
pp. 98-106
Author(s):  
Sudha S. Senthilkumar ◽  
Brindha K. ◽  
Nitesh Kumar Agrawal ◽  
Akshat Vaidya
Keyword(s):  
Random Walk ◽  
Load Balancing ◽  
Honey Bee ◽  
Random Sampling ◽  
Food Sources ◽  
Dynamic Allocation ◽  
Dance Floor ◽  
Honey Bee Algorithm ◽  
The Web

With the ever-increasing size of the systems, there is a greater need for load balancing. Various algorithms are used for balancing the overall load of the cloud and a few of them are the honeybee foraging algorithm, a biased random sampling on a random walk procedure and active clustering. Here, the authors focus on the honeybee foraging algorithm. There is a type of bees called the forager bees who continually search for food sources and upon finding the same they return to the hive and advertise their discovery by a dance called a waggle. In case of load balancing in the web servers, whenever the demand sees a spike there is a dynamic allocation of services to regulate the changing demands of the user. The servers are grouped under Virtual servers (VS), each virtual server is assigned a specific queue for itself. Each server while processing a request calculates the reward and this is analogous to the quality of the find. The dance floor in case of the bees can be analogous to the advert board here which advertises the reward to the entire colony.

Sign in / Sign up

Export Citation Format

Share Document