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    AIPRF
    2007
    97views Artificial Intelligence» more  AIPRF 2007»
    Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
    13 years 10 months ago
    Empirical Study: Initial Population Diversity and Genetic Algorithm Performance
    Download  students.ou.edu
    This article presents an empirical study regarding the hypothesis that higher diversity in initial populations for Genetic Algorithms can reduce the number of iterations required ...
    Pedro A. Diaz-Gomez, Dean F. Hougen
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    TJS
    2008
    78views more  TJS 2008»
    A performance study of multiprocessor task scheduling algorithms
    13 years 9 months ago
    A performance study of multiprocessor task scheduling algorithms
    Download  www.cs.ucf.edu
    Abstract Multiprocessor task scheduling is an important and computationally difficult problem. A large number of algorithms were proposed which represent various tradeoffs between ...
    Shiyuan Jin, Guy A. Schiavone, Damla Turgut
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    CVPR
    2007
    IEEE
    201views Computer Vision» more  CVPR 2007»
    A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms
    14 years 11 months ago
    A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms
    Download  vision.middlebury.edu
    Anke Bellmann, Olaf Hellwich, Volker Rodehorst, Ul...
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    ICIP
    2003
    IEEE
    160views Image Processing» more  ICIP 2003»
    Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems
    14 years 10 months ago
    Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems
    Download  www.csd.uoc.gr
    In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
    Anastasios D. Doulamis, Nikolaos D. Doulamis
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    GECCO
    2006
    Springer
    124views Optimization» more  GECCO 2006»
    Rotated test problems for assessing the performance of multi-objective optimization algorithms
    14 years 20 days ago
    Rotated test problems for assessing the performance of multi-objective optimization algorithms
    Download  www.cs.bham.ac.uk
    This paper presents four rotatable multi-objective test problems that are designed for testing EMO (Evolutionary Multiobjective Optimization) algorithms on their ability in dealin...
    Antony W. Iorio, Xiaodong Li
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