محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Recurso digital |
| اللغة: | |
| منشور في: |
Zenodo
2025
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| الوصول للمادة أونلاين: | https://doi.org/10.5281/zenodo.17168263 |
| الوسوم: |
إضافة وسم
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جدول المحتويات:
- <p><span>The first Olympic Games, held in 776 BC, marked a significant milestone in the development of social culture and sports within the ancient Greek city-states. Its unique competition rules, starting strategies, and sprinting mechanisms have provided rich insights for modern optimization algorithms. This paper proposes a novel heuristic optimization algorithm, the Olympic Sprint Inspired Optimization Algorithm (OSIOA), which fully simulates the starting and sprinting characteristics of ancient Olympic sprinting and incorporates a winner incentive mechanism and multiplayer collaborative mechanisms. This paper constructs a detailed mathematical model for the algorithm, designing a dual-variable update formula for speed and burst energy, an update formula for honor incentives, and a multiplayer collaborative update formula. The algorithm's theoretical mechanisms and innovations are thoroughly analyzed. The algorithm does not rely on experimental validation, but rather emphasizes the rigor of its theoretical derivation and mathematical formulation.</span></p>