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CISIM
2008
IEEE
15 years 10 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...
SACMAT
2004
ACM
15 years 8 months ago
Implementing access control to people location information
Ubiquitous computing uses a variety of information for which access needs to be controlled. For instance, a person’s current location is a sensitive piece of information, which ...
Urs Hengartner, Peter Steenkiste
ACAL
2009
Springer
15 years 7 months ago
An Empirical Exploration of a Definition of Creative Novelty for Generative Art
Abstract. We explore a new definition of creativity -- one which emphasizes the statistical capacity of a system to generate previously unseen patterns -- and discuss motivations f...
Taras Kowaliw, Alan Dorin, Jon McCormack
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 9 months ago
Parameterized versus generative representations in structural design: an empirical comparison
Any computational approach to design, including the use of evolutionary algorithms, requires the transformation of the domain-specific knowledge into a formal design representatio...
Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De ...
106
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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 9 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne