an elliptical tank cross-section is formulated to explore and optimization method, based on a real-coded genetic algorithm to enhance the roll stability limit of a tank vehicle. a shape genetic algorithm optimization problem is applied to minimize the overturning moment imposed on the vehicle due to c.g. height of the liquid load, and lateral acceleration and cargo load shift . the minimization...

Image registration has been a very active research area in the computer vision community. In the last few years, there is an increasing interest on the application of evolutionary computation in this field and several evolutionary approaches have been proposed obtaining promising results. In this contribution we introduce the use of an advanced evolutionary algorithm, CHC, to solve the 3D image...

In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layouts and explore the potential contribution of the genetic algorithms for this particular problem. Given a weighted graph, we want to find a geometric position of every vertex (layout) consistent with the weights in the graph. Among the possible solutions to this problem, we would al...

background: rna molecules play many important regulatory, catalytic and structuralroles in the cell, and rna secondary structure prediction with pseudoknots is one themost important problems in biology. an rna pseudoknot is an element of the rna secondary structure in which bases of a single-stranded loop pair with complementary basesoutside the loop. modeling these nested structures (pseudokno...

this paper focuses upon the development of an efficient method for conceptual design optimization of a satellite. there are many option for a satellite subsystems that could be choice, as acceptable solution to implement of a space system mission. every option should be assessment based on the different criteria such as cost, mass, reliability and technology contraint (complexity). in this rese...

This paper addresses a classification task of pattern recognition by combining effectiveness of evolutionary and gradient descent techniques. We are proposing a hybrid supervised learning approach using real-coded GA and back-propagation to optimize the connection weights of multilayer perceptron. The following learning algorithm overcomes the problems and drawbacks of individual technique by i...