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GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
15 years 12 months ago
Parameter sweeps for exploring GP parameters
This paper describes our procedure and a software application for conducting large parameter sweep experiments in genetic and evolutionary computation research. Both procedure and...
Michael E. Samples, Jason M. Daida, Matthew J. Byo...
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
15 years 11 months ago
Evolutionary Drug Scheduling Model for Cancer Chemotherapy
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
QCQC
1998
Springer
154views Communications» more  QCQC 1998»
15 years 10 months ago
Automated Design of Quantum Circuits
In order to design a quantum circuit that performs a desired quantum computation, it is necessary to find a decomposition of the unitary matrix that represents that computation in ...
Colin P. Williams, Alexander G. Gray
UIST
1994
ACM
15 years 10 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»
15 years 7 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