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KDD
2012
ACM
194views Data Mining» more  KDD 2012»
11 years 11 months ago
A sparsity-inducing formulation for evolutionary co-clustering
Traditional co-clustering methods identify block structures from static data matrices. However, the data matrices in many applications are dynamic; that is, they evolve smoothly o...
Shuiwang Ji, Wenlu Zhang, Jun Liu
EC
2011
262views ECommerce» more  EC 2011»
13 years 4 months ago
Computer-Automated Evolution of an X-Band Antenna for NASA's Space Technology 5 Mission
Whereas the current practice of designing antennas by hand is severely limited because it is both time and labor intensive and requires a significant amount of domain knowledge, ...
Gregory Hornby, Jason D. Lohn, Derek S. Linden
AE
2003
Springer
14 years 2 months ago
Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms
We present quantitative models for the selection pressure on cellular evolutionary algorithms structured as a ring of cells. We obtain results for synchronous and asynchronous cell...
Mario Giacobini, Marco Tomassini, Andrea Tettamanz...
JEA
2008
97views more  JEA 2008»
13 years 9 months ago
Approximating the true evolutionary distance between two genomes
As more and more genomes are sequenced, evolutionary biologists are becoming increasingly interested in evolution at the level of whole genomes, in scenarios in which the genome e...
Krister M. Swenson, Mark Marron, Joel V. Earnest-D...
CEC
2005
IEEE
14 years 2 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...