GBUO: “The Good, the Bad, and the Ugly” Optimizer
نویسندگان
چکیده
Optimization problems in various fields of science and engineering should be solved using appropriate methods. Stochastic search-based optimization algorithms are a widely used approach for solving problems. In this paper, new algorithm called “the good, the bad, ugly” optimizer (GBUO) is introduced, based on effect three members population updates. proposed GBUO, moves towards good member avoids bad member. algorithm, ugly also which plays an essential role updating population. challenging move, leads to situations contrary society’s movement. GBUO mathematically modeled, its equations presented. implemented set twenty-three standard objective functions evaluate optimizer’s performance The mentioned can classified into groups: unimodal, multimodal with high-dimension, fixed dimension functions. There was further analysis carried-out eight well-known algorithms. simulation results show that has different models superior
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11052042