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» Evolving heuristics with genetic programming
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PDPTA
2000
13 years 11 months ago
Evaluation of Neural and Genetic Algorithms for Synthesizing Parallel Storage Schemes
Exploiting compile time knowledge to improve memory bandwidth can produce noticeable improvements at run-time [13, 1]. Allocating the data structure [13] to separate memories when...
Mayez A. Al-Mouhamed, Husam Abu-Haimed
AUSAI
2010
Springer
13 years 7 months ago
Evolutionary Non Photo-Realistic Animations with Triangular Brushstrokes
Abstract. We have developed a method for generating non photorealistic animations of a target image. The animations start as a random collection of triangular strokes on a canvas a...
Ashkan Izadi, Victor Ciesielski, Marsha Berry
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 4 months 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
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 4 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
CGO
2009
IEEE
14 years 4 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle