This paper introduces an entropy-driven parameter control approach for exploring and exploiting evolutionary algorithms. Entropy represents the amount of ...
An entropy-driven parameter control approach for exploring and exploiting evolutionary algorithms and four kinds of entropy to express diversity and to ...
Entropy-Driven Parameter Control for Evolutionary Algorithms. S.-H. Liu, M. Mernik, B.R. Bryant. Abstract. Abstract is not available. Full Text: PDF · Creative ...
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Entropy-Driven Parameter Control for Evolutionary Algorithms.
This paper introduces an entropy-driven parameter control ... [Show full abstract] approach for exploring and exploiting evolutionary algorithms. Entropy ...
Entropy-Driven Parameter Control for Evolutionary Algorithms · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related.
Jul 6, 2013 · In this work, we present a parameter control method which adjusts parameter values during the optimisation process using the algorithm's ...
A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass ...
We study the measure of entropy to quantify the uncertainty of evolutionary search and use the information to adapt the algorithmic parameters. Thirdly, the MFO ...
Abstract. An evolutionary algorithm is an optimization process comprising two important aspects: exploration discovers potential.