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  Physarum Inspired Dynamics to Solve Semi-Definite Programs

Gao, Y., Kamkari, H., Karrenbauer, A., Mehlhorn, K., & Sharifi, M. (2022). Physarum Inspired Dynamics to Solve Semi-Definite Programs. Retrieved from https://arxiv.org/abs/2111.02291.

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2111.02291.pdf (Preprint), 318KB
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 Urheber:
Gao, Yuan1, Autor           
Kamkari, Hamidreza2, Autor
Karrenbauer, Andreas1, Autor                 
Mehlhorn, Kurt1, Autor                 
Sharifi, Mohammadamin2, Autor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Schlagwörter: Computer Science, Data Structures and Algorithms, cs.DS,Mathematics, Optimization and Control, math.OC
 Zusammenfassung: Physarum Polycephalum is a Slime mold that can solve the shortest path
problem. A mathematical model based on the Physarum's behavior, known as the
Physarum Directed Dynamics, can solve positive linear programs. In this paper,
we will propose a Physarum based dynamic based on the previous work and
introduce a new way to solve positive Semi-Definite Programming (SDP) problems,
which are more general than positive linear programs. Empirical results suggest
that this extension of the dynamic can solve the positive SDP showing that the
nature-inspired algorithm can solve one of the hardest problems in the
polynomial domain. In this work, we will formulate an accurate algorithm to
solve positive and some non-negative SDPs and formally prove some key
characteristics of this solver thus inspiring future work to try and refine
this method.

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Sprache(n): eng - English
 Datum: 2021-11-032022
 Publikationsstatus: Online veröffentlicht
 Seiten: 30 p.
 Ort, Verlag, Ausgabe: -
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 Identifikatoren: arXiv: 2111.02291
URI: https://arxiv.org/abs/2111.02291
BibTex Citekey: Kamkari_2111.02291
 Art des Abschluß: -

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