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» On the Brittleness of Evolutionary Algorithms
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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
16 years 6 days ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
GECCO
2005
Springer
15 years 11 months ago
Using an interactive evolutionary algorithm to help fitting a cochlear implant
Cochlear implants are electronic devices that stimulate directly the auditory nerve to allow totally deaf patients to hear again. This paper presents an interactive evolutionary a...
Claire Bourgeois-République, Bruno Frachet,...
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 11 months ago
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...
Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N....
CEC
2007
IEEE
15 years 10 months ago
Efficient relevance estimation and value calibration of evolutionary algorithm parameters
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
Volker Nannen, A. E. Eiben
IJCAI
2007
15 years 7 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Volker Nannen, A. E. Eiben