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GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
15 years 7 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
AOR
2010
15 years 1 months ago
Speeding up Stochastic Dynamic Programming with Zero-Delay Convolution
We show how a technique from signal processing known as zero-delay convolution can be used to develop more efficient dynamic programming algorithms for a broad class of stochastic...
Brian C. Dean
PLDI
1997
ACM
15 years 8 months ago
Dynamic Feedback: An Effective Technique for Adaptive Computing
This paper presents dynamic feedback, a technique that enables computations to adapt dynamically to different execution environments. A compiler that uses dynamic feedback produce...
Pedro C. Diniz, Martin C. Rinard
CEC
2005
IEEE
15 years 9 months ago
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
GECCO
2005
Springer
15 years 9 months ago
Towards an analysis of dynamic environments
Although the interest in nature-inspired optimization of dynamic problems has been growing constantly over the past decade, very little has been done to analyze and characterize a...
Jürgen Branke, Erdem Salihoglu, Sima Uyar