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» Evolutionary Algorithms for the Satisfiability Problem
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GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 11 months ago
Diversity as a selection pressure in dynamic environments
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...
Lam Thu Bui, Jürgen Branke, Hussein A. Abbass
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
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