394 search results - page 5 / 79 » A framework for evolutionary optimization with approximate f... |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
GECCO
2003
Springer
14 years 27 days ago
2003
Springer
The capability of multi-objective evolutionary algorithms (MOEAs) to handle premature convergence is critically important when applied to real-world problems. Their highly multi-mo...
NN
2000
Springer
13 years 7 months ago
2000
Springer
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to enco...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...