Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | |
| Publicado: |
Zenodo
2025
|
| Acceso en línea: | https://doi.org/10.5281/zenodo.17015111 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866901347101573120 |
|---|---|
| author | Zhang, Jincheng |
| author_facet | Zhang, Jincheng |
| contents | <p><span>Natural celestial collision processes are rich in nonlinear dynamical characteristics and energy distribution patterns. In particular, the complex geomorphic phenomena produced by asteroid impacts on the Moon, such as crater formation, multi-ring basin structures, ejecta distribution patterns, and energy transfer at different scales, provide unique inspiration for developing novel optimization algorithms. This paper proposes an optimization algorithm inspired by lunar asteroid impacts that maps impact dynamics, energy conservation, angular distribution, and multiscale ejection mechanisms into global and local search operators. The algorithm incorporates ten key mechanisms: angular-kinetic energy coupling, ring seeding, multi-ring amplification, resonant chain hopping, impact component sensing, regenerated crater memory and annealing, mass-momentum conservation and movement, adaptive local refinement triggers, uncertainty-driven sampling, constraint mapping to crater walls, and multiscale energy distribution spectra. This paper systematically explains the physical background, mathematical mapping, and algorithmic implementation of these mechanisms. Step-by-step pseudocode is provided, and its potential applications in multimodal optimization, high-dimensional optimization, and constrained optimization are discussed.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17015111 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Lunar Impact Optimization Zhang, Jincheng <p><span>Natural celestial collision processes are rich in nonlinear dynamical characteristics and energy distribution patterns. In particular, the complex geomorphic phenomena produced by asteroid impacts on the Moon, such as crater formation, multi-ring basin structures, ejecta distribution patterns, and energy transfer at different scales, provide unique inspiration for developing novel optimization algorithms. This paper proposes an optimization algorithm inspired by lunar asteroid impacts that maps impact dynamics, energy conservation, angular distribution, and multiscale ejection mechanisms into global and local search operators. The algorithm incorporates ten key mechanisms: angular-kinetic energy coupling, ring seeding, multi-ring amplification, resonant chain hopping, impact component sensing, regenerated crater memory and annealing, mass-momentum conservation and movement, adaptive local refinement triggers, uncertainty-driven sampling, constraint mapping to crater walls, and multiscale energy distribution spectra. This paper systematically explains the physical background, mathematical mapping, and algorithmic implementation of these mechanisms. Step-by-step pseudocode is provided, and its potential applications in multimodal optimization, high-dimensional optimization, and constrained optimization are discussed.</span></p> |
| title | Lunar Impact Optimization |
| url | https://doi.org/10.5281/zenodo.17015111 |