Application of Gravity Vectors and Moving Vectors for the Acceleration of both Differential Evolution and Interactive Differential Evolution

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Abstract

We propose and evaluate two methods for accelerating differential evolution and interactive differential evolution (IDE). The first acceleration method, which we call DE/gravity, aims to realize performance similar to that of paired-comparison-based IDE/best while removing the requirement that the IDE user must choose the best individual among all displayed individuals. The second acceleration method generates not only a conventional trial vector but also a second and third trial vector. It calculates a moving average vector, X_〈moving〉, for the population between generations, and compares a given target vector with the three trial vectors of a conventional trial vector, a target vector + X_〈moving〉, and a trial vector + X_〈moving〉, and uses the best one among the four vectors as offspring in the next generation. We evaluate these acceleration methods and a conventional method by applying them to Gaussian mixture models and demonstrate the effectiveness of our proposed methods.
Original languageEnglish
Pages (from-to)287-290
Number of pages4
JournalInternational Conference on Genetic and Evolutionary Computing
Issue number2011
Publication statusPublished - Aug 29 2011

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