Sciweavers

4 search results - page 1 / 1
» Two adaptive mutation operators for optima tracking in dynam...
Sort
View
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 10 months ago
Two adaptive mutation operators for optima tracking in dynamic optimization problems with evolution strategies
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...
Claudio Rossi, Antonio Barrientos, Jaime del Cerro
EMO
2006
Springer
172views Optimization» more  EMO 2006»
13 years 8 months ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
ISDA
2005
IEEE
13 years 10 months ago
Multiobjective Optimization Using Adaptive Pareto Archived Evolution Strategy
This paper proposes a novel adaptive representation for evolutionary multiobjective optimization for solving a stock modeling problem. The standard Pareto Achieved Evolution Strat...
Mihai Oltean, Crina Grosan, Ajith Abraham, Mario K...
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 5 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...