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VISUALIZATION
1996
IEEE
14 years 10 hour ago
Generation of Transfer Functions with Stochastic Search Techniques
This paper presents a novel approach to assist the user in exploring appropriate transfer functions for the visualization of volumetric datasets. The search for a transfer functio...
Taosong He, Lichan Hong, Arie E. Kaufman, Hanspete...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GECCO
2007
Springer
139views Optimization» more  GECCO 2007»
14 years 2 months ago
The role of speciation in spatial coevolutionary function approximation
The role of space is more and more accepted as a way to dramatically improve the success of coevolutionary function approximation. The process behind this success however is not y...
Folkert de Boer, Paulien Hogeweg
SIGGRAPH
1997
ACM
13 years 11 months ago
Non-linear approximation of reflectance functions
We introduce a new class of primitive functions with non-linear parameters for representing light reflectance functions. The functions are reciprocal, energy-conserving and expres...
Eric P. Lafortune, Sing-Choong Foo, Kenneth E. Tor...
GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
14 years 1 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright