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GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 8 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 8 months ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
129
Voted
GECCO
2006
Springer
174views Optimization» more  GECCO 2006»
15 years 8 months ago
On the analysis of the (1+1) memetic algorithm
Memetic algorithms are evolutionary algorithms incorporating local search to increase exploitation. This hybridization has been fruitful in countless applications. However, theory...
Dirk Sudholt
120
Voted
IFIP
2000
Springer
15 years 8 months ago
Information Systems Conceptual Foundations: Looking Backward and Forward
The academic field of information systems has developed because organizations use a specialized body of knowledge about information and communications systems. Teaching and resear...
Gordon B. Davis
CMSB
2009
Springer
15 years 8 months ago
Control Strategies for the Regulation of the Eukaryotic Heat Shock Response
Abstract. Elevated temperatures cause proteins in living cells to misfold. They start forming larger and larger aggregates that can eventually lead to the cell's death. The he...
Elena Czeizler, Eugen Czeizler, Ralph-Johan Back, ...