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» A genetic approach for random testing of database systems
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EDBT
2010
ACM
132views Database» more  EDBT 2010»
13 years 11 months ago
Turbo-charging hidden database samplers with overflowing queries and skew reduction
Recently, there has been growing interest in random sampling from online hidden databases. These databases reside behind form-like web interfaces which allow users to execute sear...
Arjun Dasgupta, Nan Zhang 0004, Gautam Das
GECCO
2004
Springer
14 years 1 months ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
AUSAI
2005
Springer
14 years 1 months ago
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
: In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...
Luke Temby, Peter Vamplew, Adam Berry
BMCBI
2010
169views more  BMCBI 2010»
13 years 7 months ago
eCOMPAGT integrates mtDNA: import, validation and export of mitochondrial DNA profiles for population genetics, tumour dynamics
Background: Mitochondrial DNA (mtDNA) is widely being used for population genetics, forensic DNA fingerprinting and clinical disease association studies. The recent past has uncov...
Hansi Weißensteiner, Sebastian Schönher...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
13 years 5 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro