An Efficient Algorithm for iris pattern

It provides basic ability to analyze algorithms and to determine algorithm correctness and time efficiency class. Problems like worst cases can be analyze using asymptotic notations.

Genetic algorithms inthe design and optimization of antennaarray patterns.

We propose a advanced privacy policy by using a secret key Transformation by using RSA algorithm in novel Secured Geographic Multicast Protocol (SGMP).


Aperture Synthesis (SAR and ISAR)

Particle swarmoptimization versus geneticalgorithms for phased arraysynthesis.

2012
[4] Content Based Image Retrieval Using SVM Algorithm, International Journal of Electrical and Electronics Engineering (IJEEE) ISSN (PRINT): 2231 – 5284, Vol-1, Iss-3, 2012
[5] Content based Image Retrieval using Implicit and Explicit Feedback with Interactive Genetic Algorithm, International Journal of Computer Applications (0975 – 8887) Volume 43– No.16, April 2012


GENETIC ALGORITHM CODE for antenna array synthesis …

AB - A novel antenna design procedure based on genetic algorithm (GA) driven optimization is proposed and applied to the synthesis of wire antennas loaded with lumped components. Loading circuit parameters, locations of the loads along the antenna, as well as matching network parameters, are optimized simultaneously. A computational scheme based on the Shernian-Morrison-Woodbury formula for the fast evaluation of the antenna performances for many distinct loading configurations is developed. The GA iteratively guides a population of randomly selected design candidates toward the optimal solution. The success of the proposed procedure is demonstrated through its application to the design of efficient ultra-broadband antennas and their corresponding matching networks.

A Multi-Objective Antenna Placement Genetic Algorithm …

The algorithm is very simple and easy to implement and PSO has recently been shown to be useful for solving complex electromagnetics and antenna optimization problems.

Optimization by the Genetic Algorithm ..

Various compliant mechanism synthesis methods have been developed over the past decade; however, very little attention has been directed towards adaptive shape change problems. In this paper, we present a systematic method for synthesizing compliant mechanisms to morph a given curve or profile into a target curve utilizing minimum number of actuators (typically one). Two objective functions are formulated, using Least Square Errors and a modified Fourier Transformation, to capture the shape differences. The topology and dimensions of the optimal compliant mechanism are generated using Genetic Algorithms. Applications of this synthesis approach are demonstrated through two adaptive antenna design examples.

Genetic Algorithms in Electromagnetics begins with an ..

N2 - Various compliant mechanism synthesis methods have been developed over the past decade; however, very little attention has been directed towards adaptive shape change problems. In this paper, we present a systematic method for synthesizing compliant mechanisms to morph a given curve or profile into a target curve utilizing minimum number of actuators (typically one). Two objective functions are formulated, using Least Square Errors and a modified Fourier Transformation, to capture the shape differences. The topology and dimensions of the optimal compliant mechanism are generated using Genetic Algorithms. Applications of this synthesis approach are demonstrated through two adaptive antenna design examples.