976 search results - page 24 / 196 » Multimodal Optimization Using a Bi-Objective Evolutionary Al... |
CEC
2007
IEEE
14 years 3 months ago
2007
IEEE
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
EUSFLAT
2009
13 years 6 months ago
2009
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
CIBCB
2007
IEEE
13 years 11 months ago
2007
IEEE
—In metabolic engineering it is difficult to identify which set of genetic manipulations will result in a microbial strain that achieves a desired production goal, due to the co...
TEC
2002
13 years 8 months ago
2002
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...