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139
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GECCO
2010
Springer
217views Optimization» more  GECCO 2010»
15 years 5 months ago
Benchmarking CMA-EGS on the BBOB 2010 noiseless function testbed
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noiseless function testbed. The CMA-EGS is a hybrid strategy which combines elements from grad...
Steffen Finck, Hans-Georg Beyer
126
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GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 7 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
151
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IJON
2006
127views more  IJON 2006»
15 years 3 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
128
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GECCO
2009
Springer
137views Optimization» more  GECCO 2009»
15 years 7 months ago
Efficient natural evolution strategies
Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike...
Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Sch...
141
Voted
GECCO
2010
Springer
163views Optimization» more  GECCO 2010»
15 years 7 months ago
Factors affecting the use of genetic algorithms in test suite augmentation
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
Zhihong Xu, Myra B. Cohen, Gregg Rothermel