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» Short Term Unit-Commitment Using Genetic Algorithms
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TSMC
2008
100views more  TSMC 2008»
13 years 7 months ago
Instruction-Matrix-Based Genetic Programming
In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In th...
Gang Li, Jin Feng Wang, Kin-Hong Lee, Kwong-Sak Le...
PAM
2011
Springer
12 years 10 months ago
Evolution of Cache Replacement Policies to Track Heavy-Hitter Flows
Several important network applications cannot easily scale to higher data rates without requiring focusing just on the large traffic flows. Recent works have discussed algorithmic...
Martin Zádník, Marco Canini
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 9 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
14 years 1 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
103views Optimization» more  GECCO 2009»
14 years 2 months ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai