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CEC
2010
IEEE
13 years 6 months ago
An analysis of massively distributed evolutionary algorithms
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
IPPS
2008
IEEE
13 years 11 months ago
Providing security to the Desktop Data Grid
Volunteer Computing is becoming a new paradigm not only for the Computational Grid, but also for institutions using production-level Data Grids because of the enormous storage pot...
Jesus Luna, Michail Flouris, Manolis Marazakis, An...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
13 years 10 months ago
Some theoretical results about the computation time of evolutionary algorithms
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
Lixin X. Ding, Jinghu Yu
CISIM
2008
IEEE
13 years 11 months ago
Tuning Struggle Strategy in Genetic Algorithms for Scheduling in Computational Grids
Job Scheduling on Computational Grids is gaining importance due to the need for efficient large-scale Grid-enabled applications. Among different optimization techniques addressed ...
Fatos Xhafa, Bernat Duran, Ajith Abraham, Keshav P...
ICNC
2005
Springer
13 years 10 months ago
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization
Advances in grid computing have recently sparkled the research and development of Grid problem solving environments for complex design. Parallelism in the form of distributed compu...
Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee...