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» Finding Compact BDDs Using Genetic Programming
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ICPR
2008
IEEE
14 years 8 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
13 years 10 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
13 years 12 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
ESOP
1994
Springer
13 years 10 months ago
Local Type Reconstruction by Means of Symbolic Fixed Point Iteration
Abstract. We convert, via a version that uses constraints, a type inference system for strictness analysis into an algorithm which given an expression finds the set of possible typ...
Torben Amtoft
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 7 days ago
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm
Cyclic genetic algorithms can be used to generate single loop control programs for robots. While successful in generating controllers for individual leg movement, gait generation,...
Gary B. Parker, Ramona Georgescu