Academic Journal
PMSOMA: optical microscope algorithm based on piecewise linear chaotic mapping and sparse adaptive exploration
Title: | PMSOMA: optical microscope algorithm based on piecewise linear chaotic mapping and sparse adaptive exploration |
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Authors: | Linyi Guo, Wei Gu |
Source: | Scientific Reports, Vol 14, Iss 1, Pp 1-27 (2024) |
Publisher Information: | Nature Portfolio, 2024. |
Publication Year: | 2024 |
Collection: | LCC:Medicine LCC:Science |
Subject Terms: | Optical microscope algorithm, Piecewise linear chaotic mapping, Sparse adaptive exploration mechanism, Engineering problem, Medicine, Science |
More Details: | Abstract The optical microscope algorithm (OMA) is a metaheuristic algorithm that draws inspiration from the magnifying functionality of optical microscopes. This study introduces an enhanced variant of OMA, termed PMSOMA, designed to mitigate the original version's limitations, notably its slow convergence rates and vulnerability to local optima. PMSOMA integrates a piecewise linear chaotic map to refine population initialization and augment diversity, alongside a sparse adaptive exploration mechanism to bolster search efficacy. The performance of PMSOMA was rigorously tested using a suite of 50 benchmark functions, the CEC2017 test suite, feature selection datasets, and three classical engineering challenges. The empirical findings confirm that PMSOMA surpasses both the original OMA and competing algorithms by delivering superior solutions, accelerating convergence, and demonstrating enhanced robustness in convergence. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-024-71828-y |
Access URL: | https://doaj.org/article/e4cbb7fe91874e6a84c11901eb06a455 |
Accession Number: | edsdoj.4cbb7fe91874e6a84c11901eb06a455 |
Database: | Directory of Open Access Journals |
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ISSN: | 20452322 |
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DOI: | 10.1038/s41598-024-71828-y |
Published in: | Scientific Reports |
Language: | English |