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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 1 days ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
CGI
1999
IEEE
13 years 11 months ago
Evolutionary Optimization of Functionally Defined Shapes: Case Study of Natural Optical Objects
This paper focuses on an approach to modeling shapes through the use of evolutionary optimization or genetic algorithms for functionally represented geometric objects. This repres...
Vladimir V. Savchenko, Alexander A. Pasko
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
13 years 11 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 24 days ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo

Publication
285views
13 years 11 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano