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GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
14 years 1 months ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolutionary computation methods for synchronization of effects based operations
Effects based operations (EBO) is a concept based on the premise that a desired strategic outcome can be achieved through synergistic, multiplicative, and cumulative application ...
Jeffrey P. Ridder
JUCS
2010
148views more  JUCS 2010»
13 years 6 months ago
Applying RFD to Construct Optimal Quality-Investment Trees
: River Formation Dynamics (RFD) is an evolutionary computation method based on copying how drops form rivers by eroding the ground and depositing sediments. Given a cost-evaluated...
Pablo Rabanal, Ismael Rodríguez, Fernando R...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 2 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
GECCO
2009
Springer
14 years 2 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