
Results in Engineering, Год журнала: 2025, Номер unknown, С. 105020 - 105020
Опубликована: Апрель 1, 2025
Язык: Английский
Results in Engineering, Год журнала: 2025, Номер unknown, С. 105020 - 105020
Опубликована: Апрель 1, 2025
Язык: Английский
Results in Engineering, Год журнала: 2025, Номер unknown, С. 104490 - 104490
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Апрель 6, 2025
This research presents an advancement of the Elk Herd Optimization targeting specific real-world multi-objective optimization problems, this algorithm is stated as (MOEHO). MOEHO exploits reproductive behaviour among elk herds for balancing exploration and exploitation within procedure toward diversification convergence. The performed better over set small-to-medium scale structural design problems thus widely applicable in engineering design. Further, when compared with eight benchmark truss structures against five well-established algorithms has outperformed them perspective performance parameters like Spacing (SP), Hypervolume (HV) Inverted Generational Distance (IGD). More concrete statistical analysis through Friedman rank test also ascertains robustness efficiency algorithm, especially at high complexities optimization. attracts attention to ability such which maintains a balance between exploitation. Computational qualitatively diversifying solutions along Pareto front, makes it complex applications. Further into extension applicability on more dimensional applied even energy systems
Язык: Английский
Процитировано
0Results in Engineering, Год журнала: 2025, Номер unknown, С. 105020 - 105020
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0