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UIST
1994
ACM
15 years 1 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
14 years 10 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 10 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 3 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
GLVLSI
2003
IEEE
194views VLSI» more  GLVLSI 2003»
15 years 3 months ago
RF CMOS circuit optimizing procedure and synthesis tool
In this paper, we discuss a methodology to design and synthesize analog CMOS components such as RF amplifiers. The inputs of the synthesis tool are the circuit specifications desc...
Chandrasekar Rajagopal, Karthik Sridhar, Adrian Nu...