Volume 23 (2023)
Volume 22 (2022)
Volume 21 (2021)
Volume 20 (2020)
Volume 19 (2019)
Volume 18 (2018)
Volume 17 (2017)
Volume 16 (2016)
Volume 15 (2015)
Volume 14 (2014)
Volume 13 (2013)
Volume 12 (2012)
Volume 11 (2011)
Volume 10 (2010)
Volume 9 (2009)
Volume 8 (2008)
Volume 7 (2007)
Volume 6 (2006)
Volume 5 (2005)
Volume 4 (2004)
Investigating the Guidance Feature of Searching in the Genetic Algorithm

Dr. Mohamed Jasim Mohamed; Dr. Laith Jasim Saud

Volume 14, Issue 1 , April 2014, , Page 21-34

Abstract
  Abstract: There is an argument about the optimization capability of the Genetic Algorithm (GA) and whether its approach of search is guided or random. Although it has its own criticism, Schema theorem was the main effort for explaining the way a GA works, and justifying that the GA search is guided. ...  Read More ...

PID Controller Configuration and Tuning Based on Genetic Algorithms

Salih M. Attya; Dr. Mohammed H. Al-Jammas; Dr. Mazin Z. Othman

Volume 12, Issue 2 , December 2012, , Page 90-97

Abstract
  Abstract-- In this work, the power of the Genetic Algorithms (GA) in searching for an optimal solution (in a pre-determined hyper space) is used to design the suitable configuration and parameters of the Proportional-Integral-Derivative (PID) controller. In most industrial plants, the PID controllers ...  Read More ...

Improving Hiding Information Process based on GA Technique with Secure Extraction Process

Susan .S. Ghazoul; Lina Saeed Jajo

Volume 10, Issue 1 , December 2010, , Page 98-106

Abstract
  Abstract: In this paper we propose a new method of hiding information that produces a stego-image which is totally indistinguishable from the original image to extract the hiding message. GA is used as an efficient method to minimize the number of different bits between the cover image and the stego-image ...  Read More ...