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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
13 years 11 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
FUIN
1998
122views more  FUIN 1998»
13 years 7 months ago
Finite Markov Chain Results in Evolutionary Computation: A Tour d'Horizon
The theory of evolutionary computation has been enhanced rapidly during the last decade. This survey is the attempt to summarize the results regarding the limit and nite time behav...
Günter Rudolph
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 28 days ago
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones
This paper presents a hybrid approach to detect source-code clones that combines evolutionary algorithms and clustering. A case-study is conducted on a small C++ code base. The pr...
Andrew Sutton, Huzefa H. Kagdi, Jonathan I. Maleti...
EC
2008
102views ECommerce» more  EC 2008»
13 years 7 months ago
Genetic Algorithms for Data-Driven Web Question Answering
We present1 an evolutionary approach for the computation of exact answers to Natural Languages (NL) questions. Answers are extracted directly from the N
Alejandro Figueroa, Günter Neumann
CIMCA
2005
IEEE
14 years 1 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré