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GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 10 months ago
Fractional dynamic fitness functions for GA-based circuit design
This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fract...
Cecília Reis, José António Te...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
15 years 8 months ago
Visualising random boolean network dynamics
We propose a simple approach to visualising the time behaviour of Random Boolean Networks (RBNs), and demonstrate the approach by examining the effect of canalising functions for ...
Susan Stepney
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 8 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»
15 years 8 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