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Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.
Published 2023“…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…”
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A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.
Published 2025“…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”
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Performance comparison of different algorithms.
Published 2025Subjects: “…target gravitational function…”
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Function graph and algorithm iterative graph.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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Eight commonly used benchmark functions.
Published 2023“…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …”
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Contrast enhancement of digital images using dragonfly algorithm
Published 2024“…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”
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Search Algorithms and Loss Functions for Bayesian Clustering
Published 2022“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”
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