118 search results - page 3 / 24 » Incremental evolution strategy for function optimization |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
GECCO
2005
Springer
14 years 29 days ago
2005
Springer
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
An algorithm independent metric is introduced that measures the dispersion of a uniform random sample drawn from the top ranked percentiles of the search space. A low dispersion f...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
GECCO
2004
Springer
14 years 24 days ago
2004
Springer
This paper addresses the influence of actuator noise on the steady state behavior of multirecombinant evolution strategies (ES) on general quadratic fitness functions. Actuator n...