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» Removing the Genetics from the Standard Genetic Algorithm
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GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
14 years 11 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen
RECOMB
2004
Springer
15 years 10 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
TSMC
2008
100views more  TSMC 2008»
14 years 9 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...
INFORMATICALT
2000
113views more  INFORMATICALT 2000»
14 years 9 months ago
An Intensive Search Algorithm for the Quadratic Assignment Problem
Many heuristics, such as simulated annealing, genetic algorithms, greedy randomized adaptive search procedures are stochastic. In this paper, we propose a deterministic heuristic a...
Alfonsas Misevicius
AE
2007
Springer
15 years 4 months ago
The Cooperative Royal Road: Avoiding Hitchhiking
We propose using the so called Royal Road functions as test functions for cooperative co-evolutionary algorithms (CCEAs). The Royal Road functions were created in the early 90’s ...
Gabriela Ochoa, Evelyne Lutton, Edmund K. Burke