AIPRF
2007
13 years 6 months ago
2007
This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
EVOW
2010
Springer
13 years 6 months ago
2010
Springer
We present a multi-parent hybrid genetic
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Image mining and interpretation is a quite complex process. In this article, we propose to model expert knowledge on objects present in an image through an ontology. This ontology ...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
Nowadays, searching information in the web or in any kind of document collection has become one of the most frequent activities. However, user queries can be formulated in a way th...
CEC
2007
IEEE
13 years 6 months ago
2007
IEEE
— Efficient discovery of lowest level building blocks is a fundamental requirement for a successful genetic algorithm. Although considerable effort has been directed at techniqu...
ACRI
2006
Springer
13 years 6 months ago
2006
Springer
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
CHI
2008
ACM
13 years 6 months ago
2008
ACM
Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, ...
WSC
2007
13 years 7 months ago
2007
In this paper we introduce the completed unit algorithm (CU-AL), a probabilistic scheduling methodology for repetitive projects. The algorithm has two main advantages, simplicity ...
AAAI
2008
13 years 7 months ago
2008
In this paper, a bottom-up hierarchical genetic algorithm is proposed to visualize clustered data into a planar graph. To achieve global optimization by accelerating local optimiz...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
Genetic algorithms—a class of stochastic population-based optimization techniques—have been widely realized as the effective tools to solve complicated optimization problems ...