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optimization-methods

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Hunger-Games-Search-Visions-Conception-Implementation-Deep-Analysis-and-Performance-Shifts

Visit: https://aliasgharheidari.com/HGS.html. HGS optimizer is a population-based method with stochastic switching elements that enrich its main exploratory and exploitative behaviors and flexibility of HGS in dealing with challenging problem landscapes. The algorithm has been compared to LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPED…

  • Updated Aug 9, 2024
  • MATLAB
RUN-Beyond-the-Metaphor-An-Efficient-Optimization-Algorithm-Based-on-Runge-Kutta-Method

The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…

  • Updated Aug 9, 2024
  • MATLAB

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

  • Updated Apr 1, 2021
  • MATLAB

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