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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
13 years 11 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
PLDI
1997
ACM
14 years 9 days 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
14 years 1 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
14 years 1 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