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GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 1 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 1 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
UPP
2004
Springer
14 years 1 months ago
Design, Simulation, and Experimental Demonstration of Self-assembled DNA Nanostructures and Motors
Self-assembly is the spontaneous self-ordering of substructures into superstructures driven by the selective affinity of the substructures. DNA provides a molecular scale material...
John H. Reif, Thomas H. LaBean, Sudheer Sahu, Hao ...
IEAAIE
1994
Springer
13 years 11 months ago
Using the Genetic Algorithm to Find Snake-in-the-Box Codes
Genetic Algorithms are heuristic search schemes based on a model of Darwinian evolution. Although not guaranteed to find the optimal solution, genetic algorithms have been shown t...
Walter D. Potter, Robert W. Robinson, John A. Mill...