OPTIMIZATION OF LARGE-DIMENSIONAL PROBLEMS BASED ON FRACTAL DECOMPOSITION

ERGANEO



12 Avril 2022

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Fields

Mathematics Physics Engineering NICT

Sectors

Automotive & Transportation
Electronics & Security
Energy & Electricals
NICT

The developed technology allows to solve these problems and proposes an optimization algorithm based on fractal decomposition. Thanks to a new approach of covering the space, this algorithm allows to solve problems with a large number of variables while bringing an exact answer to the problem. The whole with a very low complexity (logarithmic).

Applications:

  • Supply Chain Optimization
  • Forecast Logistic
  • Smart and Micro Grids
  • Water and electricity distribution networks

Competitive advantages:

  • Algorithm ranked first in CIFAR-10 dataset.
  • Solving nonlinear problems with solution accuracy.
  • Very low complexity of calculations : logarithmic
  • Very easy to implement
  • Solving problems in a wide range of areas

Keywords: Optimization, Fractal decomposition, Large-dimensional problems

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