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Keyword: Gaussian transformation ×Clear all

2 claims from 1 paper

1. Computer Science › Metaheuristic Optimization Algorithms Research

   SHIODEG: a hybrid success-history intelligent optimization algorithm for engineering design problems

   Alawadi, Fakhouri, Alkhabbas, Kebande, Awaysheh and Cheddad · The Journal of Supercomputing · 2026

   The paper proposes SHIODEG, a hybrid optimisation algorithm combining SHIO, differential evolution and a Gaussian transformation, and tests it on a benchmark suite and on constrained engineering design problems.

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   1. UncheckedOn the CEC2022 benchmark suite, SHIODEG is reported to perform consistently well, with low variability and significant gains over many other optimisers.“The results show that SHIODEG consistently delivers top-tier performance across the benchmark suite, showing strong competitiveness, low variability, and statistically significant improvements over a wide range of alternative optimizers.”
   2. UncheckedSHIODEG, a hybrid optimisation algorithm, is reported to give high-quality solutions on several constrained engineering design problems.“It also demonstrates robust effectiveness on multiple constrained engineering design problems, achieving high-quality solutions across diverse real-world constraints.”