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    IJCNN
    2006
    IEEE
    127views Neural Networks» more  IJCNN 2006»
    Generalization Improvement in Multi-Objective Learning
    13 years 11 months ago
    Generalization Improvement in Multi-Objective Learning
    Download  www.soft-computing.de
    — Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
    Lars Gräning, Yaochu Jin, Bernhard Sendhoff
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    GECCO
    2009
    Springer
    162views Optimization» more  GECCO 2009»
    TestFul: using a hybrid evolutionary algorithm for testing stateful systems
    13 years 10 months ago
    TestFul: using a hybrid evolutionary algorithm for testing stateful systems
    Download  home.dei.polimi.it
    This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
    Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
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