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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 4 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2007
Springer
129views Optimization» more  GECCO 2007»
15 years 4 months ago
Achieving a simple development model for 3D shapes: are chemicals necessary?
Artificial Development Systems have been introduced as a technique aimed at increasing the scalability of evolutionary algorithms. Most commonly the development model is part of ...
Pauline C. Haddow, Johan Hoye
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 4 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 4 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 4 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...