1149 search results - page 10 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
GECCO
2009
Springer
15 years 3 months ago
2009
Springer
In this work, we explore the idea that parameter setting of stochastic metaheuristics should be considered as a multiobjective problem. The so-called “performance fronts” pres...
GECCO
2006
Springer
15 years 2 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
ISDA
2008
IEEE
15 years 5 months ago
2008
IEEE
This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) ...
ICTAI
1992
IEEE
15 years 2 months ago
1992
IEEE
This paper presents a method for tuning parameters under a fixed time constraint for a general binocular stereo-vision algorithm. A major difficulty in stereo vision, as well as i...
GECCO
2005
Springer
15 years 4 months ago
2005
Springer
We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning and, furthermore, to fin...