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GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 7 months ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
CEC
2007
IEEE
15 years 8 months ago
Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization
— Despite having a wide-spread applicability of evolutionary optimization procedures over the past few decades, EA researchers still face criticism about the theoretical optimali...
Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep ...
EVOW
2009
Springer
15 years 9 months ago
Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm
We apply evolutionary computation to calibrate the parameters of a morphogenesis model of Drosophila early development. The model aims to describe the establishment of the steady g...
Rui Dilão, Daniele Muraro, Miguel Nicolau, ...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 8 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolutionary algorithms for medical simulations: a case study in minimally-invasive vascular interventions
To obtain the expertise to correctly perform minimally– invasive vascular interventions thorough training is required. Training using simulation systems are increasingly becomin...
Peter A. N. Bosman, Tanja Alderliesten