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» Genetic Algorithms for Randomized Unit Testing
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ICES
2000
Springer
140views Hardware» more  ICES 2000»
15 years 3 months ago
Evolving Cellular Automata for Self-Testing Hardware
Testing is a key issue in the design and production of digital circuits: the adoption of BIST (Built-In Self-Test) techniques is increasingly popular, but requires efficient algori...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 9 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
ICSE
2008
IEEE-ACM
15 years 11 months ago
On the automation of fixing software bugs
Software Testing can take up to half of the resources of the development of new software. Although there has been a lot of work on automating the testing phase, fixing a bug after...
Andrea Arcuri
GECCO
2004
Springer
15 years 5 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
107
Voted
BMCBI
2004
97views more  BMCBI 2004»
14 years 11 months ago
Performance of a genetic algorithm for mass spectrometry proteomics
Background: Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer...
Neal O. Jeffries