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Author

O. Turgut

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3 papers indexed here

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Open access Aug 2026

Chaotic Sech–Tanh dynamic opposition-based learning for metaheuristic optimization. Part I: strategy development and validation on benchmark and engineering design problems

This study proposes the Chaotic Sech-Tanh Dynamic Opposition-based Learning (CHSTDOBL) strategy, which integrates two complementary mechanisms into the dynamic opposition framework: pseudo-random sequences generated by the Ikeda chaotic map, which inject aperiodic variability to resist premature convergence, and hyperb...

M. Turgut, Mohammad Al-Rawi, O. Turgut et al. · 0 citations
Aug 2026

Design of Thermal Management System Based on Phase Change Material for Fuel Cell Hybrid Electric Vehicles: A Numerical Study

In this study, a numerical analysis of the thermal management system for a fuel cell hybrid electric vehicle (FCHEV), based on the second‐generation Toyota Mirai, has been conducted. Within the scope of the model, the fuel cell stack, electric motor, high‐voltage battery, cabin heating/cooling system, and phase‐chang...

Damla Yağci, H. Genceli, O. Turgut · 0 citations
Open access Jul 2026

SAWHALE: A Surrogate-Assisted Self-Adaptive Whale Optimization Algorithm with Novel Asymmetric Opposition-Based Learning for Expensive Optimization Problems

Expensive optimization problems allow for only a small number of exact objective evaluations, and this is where most metaheuristics lose their value. This paper proposes SAWHALE, a surrogate-assisted and self-adaptive whale optimization framework built around two new asymmetric opposition-based learning operators. EDOF...

O. Turgut · 0 citations

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