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» OptiTest: Optimizing Test Case Using Hybrid Intelligence
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WCE
2007
11 years 2 months ago
OptiTest: Optimizing Test Case Using Hybrid Intelligence
This paper deals with the identification of best and optimized test cases in program components and software artifacts. Our purpose is to simulate the model on a sample software pr...
Mohammed Al-Fayoumi, Prabhat Mahanti, Soumya Baner...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
11 years 6 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
ICNC
2010
Springer
11 years 22 hour ago
A hybrid intelligent early warning system for predicting economic crises: The case of China
—This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric models in one unified framework to form a hybrid intelligent early warning...
Dongwei Su, Xingxing He
HAIS
2009
Springer
11 years 6 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...
CEC
2009
IEEE
11 years 8 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
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