37 search results - page 2 / 8 » Epipolar Spaces and Optimal Sampling Strategies |
EC
2002
13 years 6 months ago
2002
Previous work on multiobjective genetic algorithms has been focused on preventing genetic drift and the issue of convergence has been given little attention. In this paper, we pre...
CEC
2009
IEEE
14 years 1 months ago
2009
IEEE
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
AAAI
2010
13 years 8 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
ISSTA
2004
ACM
14 years 12 days ago
2004
ACM
—Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...