Author

O. Turgut

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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

Abstract Metaheuristic optimization algorithms frequently struggle to maintain an effective balance between exploration and exploitation, particularly on high-dimensional problems where premature convergence and reduced population diversity degrade performance. Opposition-based Learning (OBL) is a widely used remedy, y...

M. Turgut, Mohammad Al-Rawi, O. Turgut et al. · Kerntechnik · 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 · Fuel Cells · 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 · Biomimetics · 0 citations