Trochoid Search Optimization

版本 1.2.1 (2.8 KB) 作者: abdesslem layeb

This code introduces the Trochoid Search Optimization Algorithm (TSO), a novel metaheuristic algorithm

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This code introduces the Trochoid Search Optimization Algorithm (TSO), a novel metaheuristic leveraging the mathematical properties of trochoid curves. The TSO algorithm employs a unique combination of simultaneous translational and rotational motions inherent in trochoids, fostering a refined equilibrium between explorative and exploitative search capabilities. Notably, TSO consists of two pivotal phases—global and local search—that collectively contribute to its efficiency and efficacy. Experimental validation demonstrates the TSO algorithm's remarkable performance across various benchmark functions, showcasing its competitive edge in balancing exploration and exploitation within the search space. A distinguishing feature of TSO lies in its simplicity, marked by a minimal requirement for user-defined parameters, making it an accessible yet powerful optimization tool.

Layeb, Abdesslem. Trochoid Search Optimization. arXiv, 2023, doi:10.48550/ARXIV.2312.13597.

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abdesslem layeb (2025). Trochoid Search Optimization (https://ww2.mathworks.cn/matlabcentral/fileexchange/156677-trochoid-search-optimization), MATLAB Central File Exchange. 检索时间: 2025/10/8.

Layeb, Abdesslem. Trochoid Search Optimization. arXiv, 2023, doi:10.48550/ARXIV.2312.13597.

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版本	已发布	发行说明
1.2.1	2024/8/14	fix typos	下载
1.2	2024/8/14	fix typos	下载
1.1	2024/5/19	more enhanced version	下载
1.0.2	2023/12/23	code enhancement	下载
1.0.1	2023/12/22	add citation	下载
1.0.0	2023/12/21		下载

MLA	Layeb, Abdesslem. Trochoid Search Optimization. arXiv, 2023, doi:10.48550/ARXIV.2312.13597.
APA	Layeb, A. (2023). Trochoid Search Optimization. arXiv. Retrieved from https://arxiv.org/abs/2312.13597
BibTeX	@misc{https://doi.org/10.48550/arxiv.2312.13597, doi = {10.48550/ARXIV.2312.13597}, url = {https://arxiv.org/abs/2312.13597}, author = {Layeb, Abdesslem}, keywords = {Neural and Evolutionary Computing (cs.NE), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {Trochoid Search Optimization}, publisher = {arXiv}, year = {2023}, copyright = {arXiv.org perpetual, non-exclusive license} }