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Akademický článek

AOSMA-MLP: A Novel Method for Hybrid Metaheuristics Artificial Neural Networks and a New Approach for Prediction of Geothermal Reservoir Temperature

Autor: Ezgi Gurgenc, Osman Altay, Elif Varol Altay

Publikováno v: Applied Sciences, Vol 14, Iss 8, p 3534 (2024)

To ascertain the optimal and most efficient reservoir temperature of a geothermal source, long-term field studies and analyses utilizing specialized devices are essential. Although these requirements increase project costs and induce delays, utilizin

Externí odkaz: https://doaj.org/article/4678686aaac0458a9a6eb5631a77783c

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Akademický článek

A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection

Autor: Osman Altay, Elif Varol Altay

Publikováno v: PeerJ Computer Science, Vol 9, p e1526 (2023)

Metaheuristic optimization algorithms manage the search process to explore search domains efficiently and are used efficiently in large-scale, complex problems. Transient Search Algorithm (TSO) is a recently proposed physics-based metaheuristic metho

Externí odkaz: https://doaj.org/article/101123a0d20f48819f56eeaf799c69c2

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