Sciweavers

78 search results - page 5 / 16
» A comparison of empirical and model-driven optimization
Sort
View
JMLR
2012
12 years 1 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio
CEC
2008
IEEE
14 years 5 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
DCOSS
2005
Springer
14 years 4 months ago
Design and Comparison of Lightweight Group Management Strategies in EnviroSuite
Tracking is one of the major applications of wireless sensor networks. EnviroSuite, as a programming paradigm, provides a comprehensive solution for programming tracking applicatio...
Liqian Luo, Tarek F. Abdelzaher, Tian He, John A. ...
GECCO
2007
Springer
144views Optimization» more  GECCO 2007»
14 years 2 months ago
The reliability of confidence intervals for computational effort comparisons
This paper analyses the reliability of confidence intervals for Koza's computational effort statistic. First, we conclude that dependence between the observed minimum generat...
Matthew Walker, Howard Edwards, Chris H. Messom
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
14 years 2 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone