Paired Comparisons-based Interactive Differential Evolution

Abstract : We propose Interactive Differential Evolution (IDE) based on paired comparisons for reducing user fatigue and evaluate its convergence speed in comparison with Interactive Genetic Algorithms (IGA) and tournament IGA. User interface and convergence performance are two big keys for reducing Interactive Evolutionary Computation (IEC) user fatigue. Unlike IGA and conventional IDE, users of the proposed IDE and tournament IGA do not need to compare whole individuals each other but compare pairs of individuals, which largely decreases user fatigue. In this paper, we design a pseudo-IEC user and evaluate another factor, IEC convergence performance, using IEC simulators and show that our proposed IDE converges significantly faster than IGA and tournament IGA, i.e. our proposed one is superior to others from both user interface and convergence performance points of view.
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Communication dans un congrès
World Congress on Nature and Biologically Inspired Computing, Dec 2009, Coimbatore, India. pp.375-480, 2009
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Contributeur : Denis Pallez <>
Soumis le : jeudi 10 septembre 2009 - 21:35:05
Dernière modification le : mardi 20 avril 2010 - 11:22:14
Document(s) archivé(s) le : mardi 15 juin 2010 - 23:29:43

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  • HAL Id : hal-00415778, version 1
  • ARXIV : 0909.2091

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Hideyuki Takagi, Denis Pallez. Paired Comparisons-based Interactive Differential Evolution. World Congress on Nature and Biologically Inspired Computing, Dec 2009, Coimbatore, India. pp.375-480, 2009. <hal-00415778>

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