37 search results - page 4 / 8 » Multi-objective evolutionary computation and fuzzy optimizat... |
CEC
2007
IEEE
13 years 9 months ago
2007
IEEE
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
GECCO
2010
Springer
14 years 8 days ago
2010
Springer
The reality gap, that often makes controllers evolved in simulation inefficient once transferred onto the real system, remains a critical issue in Evolutionary Robotics (ER); it p...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
— A cognitive system is presented, which is based on coupling a multi-objective evolutionary algorithm with a fuzzy information processing system. The aim of the system is to ide...
GECCO
2003
Springer
14 years 20 days ago
2003
Springer
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...