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» Embedded core testing using genetic algorithms
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ICPR
2004
IEEE
16 years 4 months ago
Fast Robust GA-Based Ellipse Detection
This paper discusses a novel and effective technique for extracting multiple ellipses from an image, using a Multi-Population Genetic Algorithm (MPGA). MPGA evolves a number of su...
Jie Yao, Nawwaf N. Kharma, Peter Grogono
EUROGP
2003
Springer
119views Optimization» more  EUROGP 2003»
15 years 8 months ago
Maximum Homologous Crossover for Linear Genetic Programming
We introduce a new recombination operator, the Maximum Homologous Crossover for Linear Genetic Programming. In contrast to standard crossover, it attempts to preserve similar struc...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 8 months ago
A comparison of evolutionary algorithms for system-level diagnosis
The size and complexity of systems based on multiple processing units demand techniques for the automatic diagnosis of their state. System-level diagnosis consists in determining ...
Bogdan Tomoyuki Nassu, Elias Procópio Duart...
CEC
2009
IEEE
15 years 10 months ago
An evaluation of Differential Evolution in software test data generation
— One of the main tasks software testing involves is the generation of the test inputs to be used during the test. Due to its expensive cost, the automation of this task has beco...
Ricardo Landa Becerra, Ramón Sagarna, Xin Y...
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
15 years 8 months ago
Search Based Automatic Test-Data Generation at an Architectural Level
Abstract. The need for effective testing techniques for architectural level descriptions is widely recognised. However, due to the variety of domain-specific architectural descript...
Yuan Zhan, John A. Clark