10 search results - page 1 / 2 » Improving NSGA-II with an adaptive mutation operator |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
GECCO
2009
Springer
13 years 9 months ago
2009
Springer
The performance of a Multiobjective Evolutionary Algorithm (MOEA) is crucially dependent on the parameter setting of the operators. The most desired control of such parameters pre...
GECCO
2007
Springer
13 years 10 months ago
2007
Springer
The dynamic optimization problem concerns finding an optimum in a changing environment. In the tracking problem, the optimizer should be able to follow the optimum’s changes ov...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
CEC
2010
IEEE
13 years 5 months ago
2010
IEEE
The performance of Evolutionary Programming (EP) is affected by many factors (e.g. mutation operators and selection strategies). Although the conventional approach with Gaussian mu...