367 search results - page 50 / 74 » On Using Populations of Sets in Multiobjective Optimization |
104
Voted
CEC
2011
IEEE
13 years 9 months ago
2011
IEEE
—Evolutionary algorithms have been very popular optimization methods for a wide variety of applications. However, in spite of their advantages, their computational cost is still ...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
106
Voted
BMCBI
2010
14 years 4 months ago
2010
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
CEC
2003
IEEE
15 years 1 months ago
2003
IEEE
Evolutionary computation presents a new paradigm shift in hardware design and synthesis. According to this paradigm, hardware design is pursued by deriving inspiration from biologi...