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AAAI
2000
13 years 7 months ago
Dynamic Representations and Escaping Local Optima: Improving Genetic Algorithms and Local Search
Local search algorithms often get trapped in local optima. Algorithms such as tabu search and simulated annealing 'escape' local optima by accepting nonimproving moves. ...
Laura Barbulescu, Jean-Paul Watson, L. Darrell Whi...
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
13 years 12 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
NC
1998
138views Neural Networks» more  NC 1998»
13 years 7 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
ICIP
2005
IEEE
14 years 7 months ago
Misregistration errors in change detection algorithms and how to avoid them
Background subtraction is a popular algorithm for video object segmentation. It identifies foreground objects by comparing the input images with a pure background image. In camera...
Dirk Farin, Peter H. N. de With
TSE
2010
197views more  TSE 2010»
13 years 14 days ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi