A novel hybrid flow direction optimizer-dynamic oppositional based learning algorithm for solving complex constrained mechanical design problems
Betül Sultan Yıldız(Bursa Uludağ Üni̇versi̇tesi̇), Ali Rıza Yıldız(Bursa Uludağ Üni̇versi̇tesi̇), Sujin Bureerat(Khon Kaen University), Nantiwat Pholdee(Khon Kaen University), Sadiq M. Sait(King Fahd University of Petroleum and Minerals), Pranav Mehta(Dharmsinh Desai University), Sumit Kumar(University of Tasmania)
Cited by 74
Related Papers
Chaotic marine predators algorithm for global optimization of real-world engineering problems
|Knowledge-Based Systems|2022|144
Comparative Performance of Twelve Metaheuristics for Wind Farm Layout Optimisation
|Archives of Computational Methods in Engineering|2021|138
A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
|Knowledge-Based Systems|2023|128
Synergy of green hydrogen sector with offshore industries: Opportunities and challenges for a safe and sustainable hydrogen economy
|Journal of Cleaner Production|2022|126
A Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Design
|Archives of Computational Methods in Engineering|2023|97