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» Optimizing Sorting with Genetic Algorithms
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110
Voted
CEC
2005
IEEE
15 years 4 days ago
Heterogeneous multiprocessor scheduling with differential evolution
The problem of scheduling a parallel program given by a Directed Acyclic Graph (DAG) of tasks is a well-studied area. We present a new approach which employs Differential Evolution...
Krzysztof Rzadca, Franciszek Seredynski
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi
101
Voted
SIGGRAPH
1994
ACM
15 years 2 months ago
Evolving virtual creatures
This paper describes a novel system for creating virtual creatures that move and behave in simulated three-dimensional physical worlds. The morphologies of creatures and the neura...
Karl Sims
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 3 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 1 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste