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» Genetic Programming, Validation Sets, and Parsimony Pressure
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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
13 years 12 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
13 years 12 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
TOOLS
2000
IEEE
13 years 10 months ago
Testing-for-Trust: The Genetic Selection Model Applied to Component Qualification
This paper presents a method and a tool for building trustable OO components. The methodology is based on an integrated design and test approach for OO software components. It is ...
Benoit Baudry, Vu Le Hanh, Yves Le Traon
ISSRE
2000
IEEE
13 years 10 months ago
Building Trust into OO Components Using a Genetic Analogy
Despite the growing interest for component-based systems, few works tackle the question of the trust we can bring into a component. This paper presents a method and a tool for bui...
Benoit Baudry, Vu Le Hanh, Jean-Marc Jéz&ea...
BMCBI
2010
108views more  BMCBI 2010»
13 years 5 months ago
Confronting two-pair primer design for enzyme-free SNP genotyping based on a genetic algorithm
Background: Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method produces allelespecific DNA bands of different lengths by adding four designed primers an...
Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsu...