Keywords = Genetic algorithms
Number of Articles: 8
Optimum Design of Reinforced Concrete Flat Slabs
Volume 33, 9A , December 2015, , Page 2049-2065
Abstract
This paper deals with the problem of optimum design of reinforced concrete flat slabs by genetic algorithm. Four case studies are discussed; flat slabs with and without edge beams, ... Read More ...
A Comparison between Single and Multi- Crossover Pointsto Break Hill Cipher Using Heuristic Search: MA & GA
Volume 31, 4 B , April 2013, , Page 490-504
Abstract
Hill cipher is a classical cipher which is based on linear algebra. In this method, matrices and matrix multiplication have been used to combine the plaintext. Heuristic search is a ... Read More ...
Vibration Analysis of Laminated Composites Using Experimental and Genetic Algorithms Optimization Technique
Volume 30, Issue 18 , October 2012, , Page 3192-3218
Abstract
In this paper, damage detection for different types of defects (delamination, crackand hole) in the composite laminate plate and cylindrical shell be used to characterizethe vibration ... Read More ...
Tuning of Composite Fuzzy Logic Guidance Law Using Genetic Algorithms
Volume 30, Issue 13 , July 2012, , Page 2341-2356
Abstract
The application of Fuzzy Logic (FL) for the development of guidance laws for homing missile is presented. Fuzzy logic has been used to develop a Composite Fuzzy Guidance (CFG) law. ... Read More ...
Optimization of liquid-liquid Extraction Column Using Genetic Algorithms
Volume 30, Issue 10 , June 2012, , Page 1797-1810
Abstract
In the present study, liquid-liquid extraction column was optimized using Genetic Algorithms as a non-conventional optimization technique, which scores over conventional techniques. ... Read More ...
Simple Learning Classifier Machine
Volume 28, Issue 9 , April 2010, , Page 1862-1879
Abstract
A learning classifier system is one of the methods for applying a genetic-basedapproach to machine learning applications. An enhanced version of the system thatemploys the Bucket-brigade ... Read More ...
Study of Principle Component Analysis and Learning Vector Quantization Genetic Neural Networks
Volume 27, Issue 2 , January 2009, , Page 321-331
Abstract
In this work, the Genetic Algorithm (GA) is used to improve the performance ofLearning Vector Quantization Neural Network (LVQ-NN), simulation results show thatthe GA algorithm works ... Read More ...
Feedforward Controller for Nonlinear Systems Utilizing a Genetically Trained Fuzzy Neural Network
Volume 25, Issue 3 , May 2007, , Page 475-494