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» On the practical genetic algorithms
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CIMCA
2008
IEEE
16 years 1 months ago
LGR: The New Genetic Based Scheduler for Grid Computing Systems
—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...
Leili Mohammad Khanli, Seyad Naser Razavi, Nima Ja...
EUROGP
2005
Springer
16 years 8 days ago
Understanding Evolved Genetic Programs for a Real World Object Detection Problem
We describe an approach to understanding evolved programs for a real world object detection problem, that of finding orthodontic landmarks in cranio-facial X-Rays. The approach in...
Victor Ciesielski, Andrew Innes, Sabu John, John M...
EVOW
2006
Springer
15 years 10 months ago
Supervised Genetic Search for Parameter Selection in Painterly Rendering
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
John P. Collomosse
PPSN
2004
Springer
16 years 3 days ago
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Multi-objective optimization methods are essential to resolve real-world problems as most involve several types of objects. Several multi-objective genetic algorithms have been pro...
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shiny...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 28 days ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu