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» Initial Population for Genetic Algorithms: A Metric Approach
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AE
2007
Springer
14 years 2 months ago
The Cooperative Royal Road: Avoiding Hitchhiking
We propose using the so called Royal Road functions as test functions for cooperative co-evolutionary algorithms (CCEAs). The Royal Road functions were created in the early 90’s ...
Gabriela Ochoa, Evelyne Lutton, Edmund K. Burke
ICCV
2007
IEEE
14 years 10 months ago
Uninitialized, Globally Optimal, Graph-Based Rectilinear Shape Segmentation The Opposing Metrics Method
We present a new approach for the incorporation of shape information into a segmentation algorithm. Unlike previous approaches to the problem, our method requires no initializatio...
Ali Kemal Sinop, Leo Grady
ICPR
2008
IEEE
14 years 3 months ago
A feature selection algorithm for handwritten character recognition
We present a Genetic Algorithm based feature selection approach according to which feature subsets are represented by individuals of an evolving population. Evolution is controlle...
Luigi P. Cordella, Claudio De Stefano, Francesco F...
CEC
2005
IEEE
14 years 2 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 2 months ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu