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GECCO
2009
Springer
15 years 9 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
SODA
2010
ACM
160views Algorithms» more  SODA 2010»
16 years 12 days ago
Solving Simple Stochastic Tail Games
Stochastic games are a natural model for open reactive processes: one player represents the controller and his opponent represents a hostile environment. The evolution of the syste...
Hugo Gimbert, Florian Horn
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 8 months ago
Mutation Rates in the Context of Hybrid Genetic Algorithms
Traditionally, the mutation rates of genetic algorithms are fixed or decrease over the generations. Although it seems to be reasonable for classical genetic algorithms, it may not...
Seung-Hee Bae, Byung Ro Moon
GECCO
2010
Springer
141views Optimization» more  GECCO 2010»
15 years 6 months ago
Today/future importance analysis
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a syste...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig...
WCRE
2007
IEEE
15 years 9 months ago
Interprocedural Static Single Assignment Form
In this paper we describe interprocedural static single assignment form (ISSA) with optimizations as implemented in the Bauhaus project. We explain our framework which abstract pr...
Stefan Staiger, Gunther Vogel, Steffen Keul, Eduar...