Sciweavers

1345 search results - page 8 / 269
» Optimal Control With Noisy Time
Sort
View
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
15 years 8 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
168
Voted
NC
2002
210views Neural Networks» more  NC 2002»
15 years 3 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
128
Voted
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 4 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 9 months ago
Game Theoretic Control for Robot Teams
— In the real world, noisy sensors and limited communication make it difficult for robot teams to coordinate in tightly coupled tasks. Team members cannot simply apply single-ro...
Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jef...
GECCO
2009
Springer
170views Optimization» more  GECCO 2009»
15 years 8 months ago
Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed
We benchmark the BI-population CMA-ES on the BBOB2009 noisy functions testbed. BI-population refers to a multistart strategy with equal budgets for two interlaced restart strategi...
Nikolaus Hansen