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» Techniques for Optimization of Net Algorithms
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AAAI
2008
15 years 6 months ago
Memetic Networks: Analyzing the Effects of Network Properties in Multi-Agent Performance
We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimiza...
Ricardo M. Araujo, Luís C. Lamb
JCB
2007
92views more  JCB 2007»
15 years 4 months ago
Neighbor Joining Algorithms for Inferring Phylogenies via LCA Distances
Reconstructing phylogenetic trees efficiently and accurately from distance estimates is an ongoing challenge in computational biology from both practical and theoretical consider...
Ilan Gronau, Shlomo Moran
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 7 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
132
Voted
ACMSE
2008
ACM
15 years 6 months ago
Training approaches in neural enhancement for multiobjective optimization
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Aaron Garrett, Gerry V. Dozier
146
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