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GECCO
2009
Springer
14 years 6 months ago
An experimental investigation of model-based parameter optimisation: SPO and beyond
Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, ...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 6 months ago
Evolutionary optimization of multistage interconnection networks performance
The paper deals with optimization of collective communications on multistage interconnection networks (MINs). In the experimental work, unidirectional MINs like Omega, Butterfly a...
Jirí Jaros
GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
14 years 6 months ago
Steady-state ALPS for real-valued problems
The objectives of this paper are to describe a steady-state version of the Age-Layered Population Structure (ALPS) Evolutionary Algorithm (EA) and to compare it against other GAs ...
Gregory S. Hornby
GECCO
2009
Springer
194views Optimization» more  GECCO 2009»
14 years 6 months ago
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
Xuefeng Chen, Xiabi Liu, Yunde Jia
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 6 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 6 months ago
Integrating real-time analysis with the dendritic cell algorithm through segmentation
As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusio...
Feng Gu, Julie Greensmith, Uwe Aickelin
GECCO
2009
Springer
14 years 6 months ago
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change
In this paper, we rigorously analyse how the magnitude and frequency of change may affect the performance of the algorithm (1+1) EAdyn on a set of artificially designed pseudo-Bo...
Philipp Rohlfshagen, Per Kristian Lehre, Xin Yao
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 6 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay