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GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 9 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
CSC
2006
13 years 9 months ago
Developing Efficient Option Pricing Algorithms by Combinatorial Techniques
How to price options efficiently and accurately is an important research problem. Options can be priced by the lattice model. Although the pricing results converge to the theoreti...
Tian-Shyr Dai, Yuh-Dauh Lyuu, Li-min Liu
KBSE
2003
IEEE
14 years 1 months ago
Automated Software Testing Using a Metaheuristic Technique Based on Tabu Search
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic g...
Eugenia Díaz, Javier Tuya, Raquel Blanco
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 11 months ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
MUE
2007
IEEE
124views Multimedia» more  MUE 2007»
14 years 2 months ago
Music Information Retrieval Using a GA-based Relevance Feedback
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
Seungmin Rho, Eenjun Hwang, Minkoo Kim