118 search results - page 6 / 24 » Incremental evolution strategy for function optimization |
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...
EMO
2001
Springer
14 years 1 months ago
2001
Springer
The conventional weighted aggregation method is extended to realize multi-objective optimization. The basic idea is that systematically changing the weights during evolution will l...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
AE
2005
Springer
14 years 2 months ago
2005
Springer
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
This poster presents an evolution strategy for single- and multi-objective optimization. The model uses the predatorprey approach from ecology to scale between both cases. Further...